#book-recommendations
1 messages · Page 36 of 1
U can take a look at it if u want
Not sure myself but I see the word "algebras" in there I don't think its anything easy...
I passed Algebra in 10th grade
not the same algebra
thanks for the detailed responses, that looks like a good pdf as a starting point
you need at least most of an undergraduate degree's worth of algebra, topology and functional analysis courses to start thinking about C* algebras
Ah
how can i get that
What math have u finished
precalc starting clac 1
Ah
please move the convo to one of the discussion channels
to not clutter this channel
OH im so sorry
oh yeah I have heard some people say condensed sets are the future of operators (like sri lol)
Interesting POV to be honest, not sure how much it holds in practice though
yeah idk much about this stuff (condensed sets)
Then there is Toric Varieties trying to challenge Probability
The rest of Math should just get rid of AG/AT tbh
lol
did you get that from anisomoprhism lol
From Almost_Sure twitter? Yeah
yes I'm starting my 2nd year of masters next year
by next year I mean in sept
I was talking to a different user, someone above was asking about what maths you would need to know for C* algebras
lmao it's all good 🙂
any all encompassing trig book that explain trig well
James Stewart - Algebra and Trigonometry or James Stewart - Precalculus.
alright thanks
does it include all the topics
It could have a bigger section on Complex numbers, but it's fairly complete.
I think it has that building from Westworld Season 4 on it. Blue cover, 4th edition.
4th or 5th
I have 4th.
You will encounter a lot of new concepts.
alright but like around year 11 level right
Yes, it's a good introduction into subjects that will come up in Calc 2 and Calc 3.
alright thanks ill download it
wait our usernames are kinda similar
https://www.amazon.com/Elementary-Topology-Ya-Viro/dp/0821845063 i think this book is very good for self study
tho it has a bit of unorthodox approach
It's a good book, it was recommended to me by eigenyuwu I think
you mean the topology book that i mentioned above?
Introductory book for Convex and non convex optimization with numerical problems?
I took a look at connes book, and the order of chapters is kind of perplexing me
Does anyone recommend the uk mathematics trust books
I bought the geometry of a triangle from them today
Its 600 pages tho
International maths olympiad geometry of a triangle
Anyone got their books before?
What are some cool correspondence books of mathematicians? Was looking at this https://univerlag.uni-goettingen.de/bitstream/handle/3/isbn-3-938616-35-0/hasse_noether_web.pdf?sequence=4&isAllowed=y when I thought about how something like that might be interesting to read.
What intro linear algebra / calculus 1 textbooks do you guys recommend
for intro linear algebra I've been using Edwards and Penney
not sure it's the best thing out there (probably not) but it's what my professor uses in class, so...
:O thanks for this
Can someone recommend me a book that can cover calculus needed for Ray Tracing ?
Hi, I'm taking my firts course in Real/Functional Analysis the next semester and I'm looking for text books with lots of exercises. The course is divided as follows:
1 - Supreme and Sequences
2 - Cardinality
3 - Metric Spaces
4 - Continous Functions
5 - Compactnes
6 - Normed Spaces
7 - Sequences and Series of Functions
8 - Lesbegue Measure
9 - Measurable Functions and Lesbegue Integral
I've been reading the Abbot's "Understating Analysis" and I like it, I think it has a really modern approach and is very well written but it doesn't cover all the topics. Could you recommend me something that goes a little bit deeper on general Metric and Normed spaces?
I'm sure you'll like Amann Escher volume 1 for the coverage upto chapter 7 in your course. Unfortunately volume one does not even cover the Riemann Integral let alone measures; you'd have to get to volume 3 for that. You might also want to take a look at Pugh or Rudin's POMA.
Thank you both, I'll definitely take a look to the Amann Escher, it seems to be more modern. I've taken a look at the baby rudin and I find it incredibly harsh to read but if I don't find anything else that suits what I think I need I'll go with it. Pugh looks a lot to what I'm looking for in a book, but it doesn't seem to fit the course chronollogically. Maybe using both is a good idea, what do you think? Cause the baby rudin seems to cover the course better and the Pugh seems to make a bigger effort on explaining the intuition behind stuff and it also has a lot of exercises.
Hmmmm
I am pretty sure volume 2 does riemann integration. Volume 3 is cal on manifolds if memeory serves me right
carothers
The same talk was repeated with some variations in May at Ohio State University, and then in June of the same year in the “Aspects of Mathematics” Conference at my alma mater, the University of Hong Kong.
....
A somewhat longer version with more technical details will appear concurrently in thr proceedings of the “Aspects” conference, published by the University of Hong Kong. In particular, some of the proofs omitted from this article can be found in the Hong Kong proceedings.
From Lam's article "Representations of Finite Groups: A Hundred Years, Part I", does anyone know where I can find these "Aspects" proceedings? Googling didn't help and there was no reference in the article.
after finishing with abbott, i suggest you dive right into rudin's pma, since pma was written explicitly for people with purpose like you, not for first approach
I personally think pma after abbott will be very redundant. Better to use something more advanced like carothers
What books would y’all recommend for a second course in linear algebra? I’m looking for something around the same level as Axler’s Linear Algebra Done Right
steve roman linear algebra done wrong
sergei treil
No idea this existed lmao
hoffman kunze is good too
thank you
My friend actually has friedberg's book so I can get it for really cheap
Imma probably gonna go for that too
can anyone recommend me a book on manifolds
do you already know point set topology?
Okay...
Do you know like analysis/linear algebra
i mean it's kind of needed
yeah that's why I'm asking
You should probably read up on topology a bit more if you wanna read more in depth about manifolds
But Loring Tu's book introduction to manifolds is a good one
oh my god thanks i was just curious about this topic
i only read some articles about it
oh my god it's really good still on the first pages i like how they clarified that a euclidean space is actually a prototype
would it be a bad idea to read tu's book without any knowledge of multivariable analysis like ones that are discussed in rudin chapter 9~11 or spivak's calculus on manioflds?
oh okay
Thank you. That make sense!
In what sense is the Carothers more advanced? And why do you think it would be less redundant than the pma?
Rudin has almost the same content as abbott, he just does things in more generality. Compared to that carothers starts with Metric spaces then does Function spaces and then Measure Theory which btw Rudin also does but much much worse.
Tu's book is designed for students with a solid foundation in linear algebra, calculus, and some basic topology. While it does not assume prior knowledge of multivariable analysis as extensively covered in Rudin's Chapter 9-11 or Spivak's 'Calculus on Manifolds,' some familiarity with the concepts of multivariable calculus would be beneficial.
The book covers a range of topics, including smooth manifolds, tangent spaces, vector fields, differential forms, integration on manifolds, Lie groups, and more. Tu presents the material in a clear and concise manner, providing detailed explanations, examples, and exercises to reinforce understanding.
Even though Tu's book is a comprehensive introduction to manifolds, it is still a challenging subject. Some readers may find it helpful to supplement their study with additional resources or textbooks that cover multivariable analysis to solidify their understanding of the underlying concepts.
In summary, while it may be possible to approach Tu's 'Introduction to Manifolds' without prior knowledge of multivariable analysis, having a basic understanding of the subject and its associated concepts will greatly enhance your learning experience and comprehension of the material.
after reading all 430 pages this is more or less what i thought but i think it's better to review all possibilities with the other readers
I think the exercices are much better even if the content covered in the sections is somewhat the same
"What Is Mathematics?" by Courant, Robbins and Stewart. Does it good book for relearning math?
i don't think so
it might be good as a retrospective after you relearn the math covered in the book
Basic Mathematics by Serge Lang is pretty good
I checked pinned messages, after Gilbert Strang's Intro to linear algebra, which book among "linear algebra done right" and "hoffman and kunze" would be better for someone, who is not from pure math background?
doesn't really matter
but friedberg, insel, spence discusses applications more
ladr seems popular in the physics discord
but if you're looking for something more applicable to fields like cs, FIS at least discusses finite fields
hoffman kunze is fine too
I see, then i'll have to sort by number of pages.
Is serge lang's linear algebra book good for self study?
So should I study it?
no
you should study from a different book or resource
use courant's book if you want to reflect on what you've learned before
it's not a review book either
Tbh, I stayed apart from Math so basically I don't know Math I would say.
Courant book? Which one?
the one you just mentioned
Why does it includes bad practices or what? I also heard on Serge's book that some math formulas are wrong in answers section of the book and also lack of some concepts that is not included.
courant's book is not a book that tries to teach math
it's meant to tell you what studying mathematics is like
lang's book has some errata yes, but it's fine
you can probably just google if there's an errata sheet
Augh okay.. Then I would go for Serge book.
Aight thx
can i ask people here's opinion on serge lang's undergraduate analysis
I'm liking the books General Topology by Stephen Willard and Topological Vector Spaces 2nd edition by Narici and Beckenstein
hows willard different from munkres?
The book talks about nets and filters and star refinements and also talks about uniform spaces.
isn't that a bit too much for undergrad?
general topology is also taught as a graduate course
True but nets and filters are still a bit unusual for a topology course
Maybe not grad topology
It's not an undergrad vs grad thing, grad-level topology means stuff like algebraic/differential/geometric topology
Need recommendation for Linear Algebra (early university)
what major are you in
Math
need some recommendations on statistics book that covers undergraduate stuffs.
@clever seal
Read it! Thanks..
I'
Oops accidentally hit enter sorry
I'm a bit confused about the SS vs Gamelin thing. You say SS requires more background than Gamelin (namely epsilon-delta); that makes me think that Gamelin doesn't use much e-d stuff, but isn't that how analysis is done? Or do you mean that Gamelin teaches e-d whereas SS just assumes you already know it?
As I recall, Stein-Shakarchi kinda has a rough time making up its mind about what you should know going in
Like, probably calculus at the level of Spivak should do
What would you say is the most conversational of all those books, besides Ahlfors?
I really hate theorems in the middle of stuff
Gamelin I think introduces you to proofs basically
Especially when it's not bolded
But I love authors who exposit a lot and take care to be explicit and not very "clean" with their proofs (or when they are they explain how/why)
Gamelin sounds right for me since I also love looking at things geometrically LOL
My impression is that Ahlfors is definitely the worst offender in this regard. I think Gamelin's on the chit chatty end with less organizational nonsense
Coolio, thanks! Are there any other notable complex analysis books that have released since then, or do you have any updated opinions on book recommendations?
conway 
I have heard good things about complex made simple in this channel itself you can search it
I'm gonna skim Conway too just to see, I actually liked D&F :hehe:
Ok!
maybe i am Spupid or something
but i liked dummit and foote and did not find it to be super dry
Same!
thte examples were Gud
Ahlfors doesn't exposit as much as he just rambles and concludes that he has proven something. On the other hand, his proofs are quite quite slick and flows naturally from one topic to another topic. The flow is so natural you would be surprised he has proven something and you would have to go back to actual pin where the proof started and where it ended.
Ahlfors excercises are quite different from excercises in other math texts too imo, they can be very annoying sometimes but many a question has a supremely elegant solution which just needed a change in perspective (which you will find satisfying if you solve it but the solution will be there on stack exchange too)
Its a good book for a first course only if you have a good instructor who will explain each paragraph of Ahlfors in detail imo
Yeah his exercises are not only different but also arranged very bizarrely. An exercise about log of analytic function (which he hasn't even defined yet) could appear in the initial portion of the book (confusing the students) and sometimes an exercise to just prove zeroes or analyticity of a function could appear very late in the book. It is definitely more of an instructor manual than a book. But once you are familiar with the material, you will find yourself more going back to Ahlfors than anything else because his presentation is very easy to recall.
any reccomendations to get hands on practice for scientifc computing? i know michael T heath is a good book for gaining more knowledge on the subject
Zakeri Complex Analysis
Its the best CA book
I am offering an anti-rec for Ahlfors
Its bad
hmm today i think i am going to use narasimhan
LMAO Yamin shilling their professor's book again
Not really a book recommendation but do y'all have any video lectures or lecture notes for a second course on linear algebra (proof based) same levels as Axler, Friedberg and Kunze?
How different is Loring Tu's book on introduction to smooth manifolds from John M. Lee's book?
https://www.youtube.com/playlist?list=PLflMyS1QOtxwiN5oOuyY4W_8fZlTTnRcF
this is my favorite, follows Axler but fixes some of its flaws throughout the lectures (at least introduces determinants a bit earlier), sadly it is missing all the lectures after real spectral thm, and some of the uploaded ones also cut off suddenly
Tu is considerably shorter and delays the actual introduction to manifolds and covers some preliminary concepts first (Tu says to make sure students review/learn their topology in the meantime), friendlist book you can find that gets you into manifolds probably
Lee has a lot of extra stuff though
and expects a bit more mathematical maturity and more topological background out of the learner
I've been reading Lee recently and I found it comfortable till now (although I've only done the first chapter till now, which introduces manifolds, manifolds with boundaries, smooth structure on manifolds through smooth atlas, and a lot of examples for smooth structures on manifolds). I wish to know whether I should continue with it or switch to Loring Tu
My background - I'm an undergrad who just finished my second year. I've had a rigorous course in Topology and multivariable analysis. I also had two courses on linear algebra in my first year.
if you are comfortable with Lee then you can just keep going lol, but also doesn't hurt to look at other books
I'll also look through Tu. Thanks
axler has a playlist for his own book
he kinda repeats what's in the book already tho
in fairness it's his book
Wow I had no idea about this, it’s actually very useful and well put together. Thank you so much!
need help with these topics if some can then please
1)Linear Differential Equations of first order and Higher degree
2)Series Solution of Differential Equations
or
Special Functions
3)Laplace Transforms
- Fourier Series
Or
Partial Differential Equations
if you're looking for a diffyq book nagle saff snider
which book did you use for multivariable analysis/
Calculus volume 2 by Tom Apostol and later Calculus on Manifolds by Spivak
Not really. I mostly did Spivak just to revise after I finished my course
oh thank god. because it would've been a nightmare if spivak was just like multivariable's rudin
or even worse, like chapter 9~11 of rudin
Wait, were you asking for book recommendation? I thought you were asking how strong my background is.
If it was for book recommendation, I'd say start with Apostol instead.
i was actually asking for a bit of both
but yeah, spivak came across as to terse to me
hi guys , can anyone suggest how to get started with combinatorix
i don't have much experience ,
just basic permutation n combination
so will it be fine ?
i'd suggest you to print out some pages via libgen and try the problems out
of course they'd be hard and you will get a bunch of problems wrong at first
however, if you find yourself not being able to understand what's going on even after reading solutions, then i'd suggest you do Discrete Mathematics first
oh ok thx @frosty basin
could somebody suggest something for ODE's
have you seen this?
apologies for the ping
it's the list of problems he assigns for his course
It is for ITM (Introduction to Topological Manifolds). I'm reading Introduction to Smooth Manifolds
my bad
But yeah, there should be such a list for ISM as well, I'll try to search it. Thanks for letting me know
<@&268886789983436800> spamming
Best course for learning advanced maths for students who passed class 10?
Unclear what class 10 refers to
grade 10 ig
Henlo, I'm looking for an exercise "heavy" calc book to complement the Tarasov one. I'm somewhat familiar with limits and derivatives, both in theory and the algebra needed (I think lol), however I'm not well versed in integrals. I'm looking to go through this calc tour de force in roughly 45 days give or take
If you want computation, stewart; if you want theory, spivak, though I'm not familiar with what tarasov does
Seems like a primer on theory, honestly just grabbed it because it was in the recs and the typesetting is nice.
Oh well I guess stewie will do, thanks
how would you rate this book out of ten
Understanding Pure Mathematics by A.J. SSadler and D/W/S Thorning
Is there a solution's manual for the Carothers??
CBSE Class 10th
yes
Is here good source for learning Math? https://math.libretexts.org/Bookshelves
I had considered to begin Serge lang basic Mathematics but I'm not sure which one is more eligible.
Any text for an intro to number theory book?
I’ve never done proofs also so idk if I also need a book for that
Try David Burton. That's an amazing introduction to number theory which goes easy on beginners. Incase you find it too easy or are done with it, you can go to Niven Zuckerman Montgomery and then Ireland Rosen
you should know some basic algebra prior to reading ireland and rosen
Has anyone looked at Abelian Varieties by Mumford?
any pleasurable reads on history of mathematics?
not the history of a specific subject
but mathematics overall
hey guys, any hard calculus book (have already finished calc 1 and calc 2 but wanna revise) (am studying calc for physics so any book with physical applications would also be great
spivak or apostol
any hard calculus book
book with physical applications would be great
if you want applications of math to physics, can always use a physics book
but they're studying calc for physics. would intro analysis be helpful in this case?
also @viscid sky vector calc or just calc 1-2?
i will begin with vector calc. thats why i wanna revise like integral techniques and those stuff
ah, evaluating tricky integrals and integration techniques?
and thank you so much @tender river i have also heard that these books are hard i will definitely check them out (i would love to take analysis in the future)
ic
then go with what pika said then 
btw, for PDEs do i need topology and measure theory or in fact in general for an engineering +physics student , do i need to take topolgy and measure theory?
a pde course in engineering only requires calculus (1,2,3, diffyeqs). if you wanna learn the theory of pdes (the stuff a math major learns) then yes you need functional analysis (which itself requires topology and measure theory)
oh i see, thank youu so much !!!!!! really appreciate it ❤️
Marakov
I think the title is Selected problems in real analysis, or smth similar
Or Putnam and beyond, if you feel extra spicy
makarov, podkorytov
any good books to like, get really good at algebra?
like, algebraic manipulation and stuff
I know all the basics and I'd really enjoy just knowing a lot more
really like manipulating letters
in an equation
I have recently discovered a wonderful and very very thorough presentation of the connection between functional analysis and PDE.
It is called Nonlinear Functional Analysis and its Applications by Eberhard Zeidler.
It is a five-volume exposition: 1. Fixed Point theorems. 2. Linear/Nonlinear Monotone operators. 3. Variational Methods and optimisation. 4. Applications to physics (including Schrodinger, Navier-Stokes and General Relativity)
Why is it great:
- The books are very very thorough and treatment of material is very general as well (compared to Evans).
- Appendix is very well-developed and stuff used is actually first developed instead of hand-waved: For example, in Evans, he doesn't really develop the theory of Lp(0,T;X) spaces (Banachness, reflexivity, weak convergence, weak derivatives, or even justify the action of the dual), but all of this is very well-treated in his appendices (just to pick one example).
- Ideas are properly compared as well: Relations between variational problems and boundary value problems; why use Freidrich extension as opposed to energetic extension etc..
- Nice structuring: Introductory chapters start with a properly outlined goal, and then when important there is a full exposition on the history ("History of Hilbert spaces", "... of Dirichlet principle and Monotone operators"; and the ending of the volume culminates with a list of theorems/symbols/schematic overviews/important principles.
- Problems! The author provides solutions? As comprehensive the exposition seems, the author provide solutions to a lot of problems and references for further development of results in the problems.
All of the above is mostly about the second volume which is one I have been using for the past few days.
If anybody is interested, the latter three titles are on Springer. If you need a pdf with a clickable table of contents, dm me: I have prepared them for the first three books.
Can anyone tell me what book should I start next after finishing the book of proofs which I am currently working on. For context I start my math bachelors in an European university in 2 months and the first classes are analysis and linear algebra. In high school I did precalculus and some calculus like derivatives critical points, inflection points and some techniques of integration.
Does CS stuff like data structures and algorithms count in maths ?
If so, I have a question, otherwise ill wait
if you're asking for a CS book recc feel free to ask here.
try analysis and linear algebra textbooks
nice to get a head start, tao or abbott for analysis and axler or idk hoffman-kunze for linear algebra
tao analysis 
Would my level of calculus be enough to directly start analysis? Or should I do more calculus?
your uni has analysis in the first semester, doesn't it?
Yes
you'll be fine then, you get better at analysis by doing analysis not doing calculus
Different unis approach analysis differently, but generally calculus is enough for intro analysis
So just knowing basic high calculus is enough for intro to analysis?
having done book of proofs is more than enough early preparation
Intro analysis broadly speaking is (to a certain extent) calculus made formal (with proofs)
Analysis is often taught as an intro to proofs class as well
Alright thanks everyone
so Basically, is CLRS (Introduction to algorithms) the complete book for a CSE student ?
for Data Structures and Algorithms
it's a pretty good reference book
at least when I used it the exercises seem not terrible
hmm
@glacial crypt someone told me to use this book
Data Structures using C
By Tenenbaum, Langsam and Augustein
They said it's a prerequisite to CLRS
funny, I thought clrs is self contained. also, they don't specify any specific programming language for clrs
yeh
I mean in CLRS 4th edition, they state prerequisite is some data structures knowledge
You probably can get by starting with CLRS even without other books
wait really ?
what if I have not much idea about data structures ?
I only know arrays and structs in C
I like mafs
What about dis
I'd recommend wandering through online resources first, with titles in CLRS as a guide
Then come back to CLRS when you have the intuition for it
it's great if you're a veteran in CS and want to understand the proofs
but otherwise, nah
depends on what you do, CSE is a huuuuugggeeee field
If you do theoretical CS, it's a good start, but def not enough
I want to understand proofs
I want to get into that only
Theoretical CS is my aim
IMSc Chennai in India offers that course
Well, have you played around with them before? Solving some coding problems, implementing them
If not, stay away from CLRS, you'll get bored. When it comes to algorithms, you need a good intuition first
I think it means Computer Science Engineering
I have done programming
I'm in CSE course in Uni
Well yeah but how is it different from "computer science"
I made a number theory calculator last sem
Lol. Let's put it another way. Have you implemented binary tree?
I did calculate time complexity of shell sort and Euclidean algorithm
Do you like red black trees
Not yet, folks told me CLRS has data structures
I have other data structures in C book
Ok, now we're talking 
Skiena ?
I think Laaksonen would fit better
At least in context of India there's two different ways you can study CS, one is BS/MS and then there's BTech/Mtech.
Usually CSE means Btech in CS like it's more applied idk
https://books.google.co.in/books/about/The_Algorithm_Design_Manual.html?id=S0QBEAAAQBAJ&source=kp_book_description&redir_esc=y
Basically a survey of what algorithms exist
Grind this, https://cses.fi/book/book.pdf solve a couple of Div 2 B/C on Codeforces, then come back
Without going too deep into theory
Why are you guys advising me against CLRS ?
Because it's too theoretical for you
Yeah
This is equivalent of studying Algebra from Lang
I didn't know there was a cses book lmao
It requires that I know how to implement binary trees ?
I thought it was just a website
My man, you have no idea how much I put into studying CS. Probably triple what I put into Maths
Also absolutely do the exercises in the cses site
Wait really ?
They are like the bread and butter of cp
Not trying to flex, but yes
Well atleast the basic ones
Ohk
I did cses for interview prep
It requires that you can make intuitive arguments why a data structure works, and what its complexity is. CLRS only fills in the details.
I see
It's a Bible, you refer to it whenever you need something. No one really learns from it
Why do no books talk about loop invariants
Well like they are super important and handy
But I don't think there's a book that defines them
Because you don't find it in algorithms book 
You mean Hoare's logic?
I remember seeing "loop invariants" in CLRS
It's a part of standard CS curriculum, but I never see any books mentioning it explicitly
He never elaborated on what it meant really
It's handy, but not important
you just need to know what you're doing
Well I don't see CLRS proving correctness of quick sort using loop invariants
*Lemuto quick sort
what is lemuto
I think every CS major should be taught Hoare's logic. The number of times I see ppl incorrectly implementing binary search is outrageous
there is a proof of quicksort using loop invariant in CLRS
when is it handy
this
I think I have some intuitive understanding of Hoare logic
you can rigorously prove what you'll have after the binary search
But it's 100% due to experience
who implements binary search in their daily life
Ask the Leetcode people
the algorithms you write in real life are way to complex to formally reason about correctnes, at least with standard tools
the intuition gained is kinda nice though
Yeah Hoare feels super useful for thinking about procedural code
Honestly can't you just learn algorithms with experience alone
ngl, I can't even comprehend why someone would want to research algorithms
Well algorithms like what CLRS covers
Or TAOCP
Lmfao, CLRS is for babies. It's like you have to cover analysis to do anything math-related
algorithm research at the highest level is madness
Well ok consider TAOCP
same for TAOCP actually
If you ask any ICPC WF medalist, they will probably know the majority of the content in TAOCP
it's standard curriculum in olympiad training camps
It depends on the topic
Fair enough
you can look at improving the constant term hiding in big-O notation wrt some model of computations
Or improving the approximation constant, e.g. from epsilon^2 to epsilon
For me personally, TAOCP and CLRS seem like negative inspirations
Who tf would even study from TAOCP and CLRS?

I only open those books when there's something I know to be true, but don't recall the details
So how do you learn algorithms exactly
solving problems, mostly. Implement them, and argue rigorously about them yourself in context of problems
I mean enough to do research
The same way you learn to do math research 
You keep learning, the more you learn, the fewer ppl on the world know and understand what you do. Until one day you learn something only you know.
as above, solving problems
I'm blessed to have gone through olympiad training tho. I'm not sure about others
I suppose my view of research being "reading stuff and not a lot of problem solving" is wrong
Apparently you haven't done research yet 😄
yes, you read a hell lot, but at the end of the day, you do whatever it takes to solve the problem you care about
Well yes, my experience with "research" is background reading
It's normal at UG level, dw
I got lucky and did something new, but that's not common
Competitive programming?
No, I found some new algorithms
Damn
Mind you, I went through olympiad training. Which means by the end of HS, I already knew a lot
Fair enough
What is TAOCP
The Holy Bible, King James version
Looks like I don't want to do Theoretical Computer Science anymore
I'll happily stick with programming
Everybody gangsta till they see a red-black tree
I'm interested in improving the shitty software written today
If I study it, I'll probably understand it
Sadly you will still need to grind algorithms, because that's what HR puts, and because that's HR
HR ?
Human Resource
The ultimate enemy of CS students
It's just that, I haven't found any book that does Data Structures that's not boring
Also, you probably need to know a tiny bit of algorithms. I've seen ppl using bubble sort in software. Those ppl need a good 6-month bootcamp
I have one right now
It's called
"Data Structures in C"
By Tenenbaum, Langsam and Augustein
Eww, C
I love C
Yeah, you think you love C
What else would you implement data structures in ?
Virtually any languages you use 🤷 I do CP mainly in C++
But tbh, you never have to implement a DS in real life
as I said, I think this will suit you better
Why is that ?
I am not into Competitive Programming
I did hear about ICPC though
Some folks from my Uni went, never made it past zonal level though
Maybe I should do codeforces
I started programming like 10 months ago, I don't think I have a chance against guys who have been programming since they were 8
It's not for CP actually, it's a primer on basic algorithms. Even for folks preping for interviews, it will help a lot
Will give me something to do rather than just depress over lack of purpose in life
I did read some lines, competitive programming is a lot about doing stuff the fastest ?
Well that's unfortunately a part of it, yes
But ideally it's about finding the best "good enough" algorithms within a short period of time
I'd rather do things on my own
I dislike the OOP part of C++, Procedural C is good enough for me
Do you also have to combine existing algorithms ?
Yes
How else do you think algorithms work
No
Ohk
Live longer, you'll feel grateful to know C++
Lol
C is just, life on hard mode
I like C
As a stick to compare languages against
Actually nowadays Rust is da wae
Hmm
"C++ is supposed to be C with classes but they added in templates and a lot of complexity"
"Java is supposed to be C with classes but everything is on the heap and memory management is free"
C++ is good in the sense that it's still low-level so you have to understand hardware, but still have OOP and shit so you can transfer to higher level stuff like Javascript or Python
Knowing C++ is essentially speaking French and German, you have an edge to learn (almost) any European languages
Hmm
If you're fluent in C++, you can learn (almost) any new language within a week
C is just too low level for that. They didn't even have for loops until C99
Who tf codes in Haskell? Beside quant firms?
book-recommendations
And also, it's a separate language style already
I remember some long time ago, there were options to use C and C99. In one of them I had to use while instead of for because the compiler just didn't want to compile
*1988
Those were the dark days 
Ok it's also a thing in the first edition
anyone have ron larson calculus 12e in pdf form
that was not related to your comment, but i previously made some suggestions here #book-recommendations message and here #book-recommendations message
spivak has a chapter dedicated to planetary motion. apostol considers a few applications for first order ODEs and the chain rule, namely related rates and implicit differentiation.
Please recommend me something for group theory, my way of study is to hide proofs and then to try my best to proove it, currently I am studying from herstien, topics in algebra but finding it somewhat difficult from the automorphism section.
So, Schroder's shtick is more or less, start with analysis on R, use Riemann integration (in particular, characterizing Riemann integrable functions) as a segue into Lebesgue measure
Then do measure theory and calculus on R^n
The main thing he misses that I recall in measure theory is the differentation content
So e.g. you'd want to read chapter 3 of Folland
Is there any good book for symbolic logic
If you have some level of mathematical maturity, something like Jech's ug set theory book might be more suitable
to Enderton's Elements of Set Theory
Can anyone recommend a website to take a complete course in python?
"dive into python" is pretty good
I recommend asking Pydiscord, they are beginner friendly, have resources and are helpful in general
Any thoughts on Serge Lang's Linalg?
Try it and let us know 
I am, I'm at ch 1 and boy it's interesting but at the same time I wanna make sure it's more towards the abstract and not the computational side
Check pinned messages
ic
none
I again recommend you to stick to one book.

I will say that linear alg can have fairly computational heavy exercises and that's not necessarily a bad thing imo. I found it easier to understand concrete linear algebra first before moving on.
Even now, all examples I come up with to understand anything new are usually 'concrete' R2 or R3.
I dont think you should let that put you off reading a book.
highly disagree , using multiple books always gives more insight on any topic (with a main book to follow ofcourse)
The context is that they have been jumping from book to book without making much progress in any.
The other thing I'll say (my opinion from my experience), there's no point learning in a more 'abstract' approach if at the end you're unable to do computations. To me, the abstract approach is supposed to give you a deeper understanding of the workings behind the various methods as well as some more general results.
If you take the abstract approach and are unable to do computations after, then I think it has failed you. It's not that there are 'no computations' in a more abstract approach, it's more that they have been omitted as exercises you're "expected" to be able to handle once you have understood the material.
So I don't feel like anyone learning linear algebra can "get away" from computations - they should be done as exercises at one point or another.
true that
Honestly the only main reason to repeatedly switch books is to find one with good exercises when you're reviewing
Else there shouldn't be a need to keep switching books
A decent algorithmic procedure is to have a more usual (popular) textbook and an easier one. I prefer anything that I have a physical copy of.
Start with the textbook and see how good it is. If you find you hate something in the textbook then switch it for something else.
While hate is a strong word you should only switch books if you just can't stand the book or say it's too dense for you.
true. found myself doing that too, and stopped when I realized that if I am serious about math then this won't be the first book i read about x topic, and will eventually gain that knowledge one way or another, so just get over one good reputed book and then move on.
I'm looking for an introduction to infinite dimensional vector spaces, Hilber and banach spaces. any suggestions?
Possibly provide something advanced and something for begginers
I can give you an intro for Hilbert and Banach and the resulting theory about them.
For the beginner: Eberhard Zeidler Applied Functional Analysis. Volume 108. Guided and solved exercises along with tons of motivating examples to show application.
For the advanced: Haim Brezis' book. Very well-written and clear, guided and solved exercises.
I've been liking Linear Algebra As an Introduction to Abstract Mathematics by Schilling, Lankham, and Nactergaele it's been good for review
jech has an ug set theory book ?
sure does
Yes by Jech and Herbreck (cant rmb how to spell his name)
damn never knew that
i used analysis now by pedersen
https://gyazo.com/fa30bb9841834bd93a592049db9014e0 man how does this even happen
i never even knew that existed lol
If Schroder also had decent sections motivating why we care for stuff, it would have been the greatest intro analysis book
Have a recommendation for that? Why we care?
Both Tao and Abbott provide decent motivation. You can try both and see which one works better for you. For comparison Tao is a bit more chatty and leaves some logic as an exercise to the reader (these are very quick checks). Abbott has better exercises than Tao.
Also Tao constructs N then Z then Q and finally R in the first 5 chapters. It is interesting if you've got time to read
serge lang's undergraduate analysis is a good book too
kinda surprised it is not as popular as many other books
anyone know of any good books on module theory
There really isn’t a book for module theory
If you need an intro, books on algebra suffice, D&F, Aluffi, etc
If you want to learn more it basically splits into two or three camps
Books on homological algebra will do stuff
Books on commutative algebra will do stuff (over commutative rings)
And books on rep theory will do stuff
i’m looking to do homological algebra, i got weibel but it skips the theory and assumes you know modules already
It sounds like you just need an intro
Pickup whatever book you learned algebra from and it should have a section on modules
D&F has some sections dedicated to it as does Aluffi I think
i get the big ideas too, basically a vector space over a comm ring with identity
but i want a stronger foundation
i used fraleigh and i think they skipped modules altogether
And it’ll probably be there
yeah thanks for the info
D&f has a section or two on modules
Lang chapter 3 is on modules
I don't remember specifically what they cover
i also saw rotman has a chapter on modules too
was mainly curious to see what people found as a nice self-contained text wrt module theory
thanks all
are there texts on continuous inequalities, focused on problem solving if possible?
does gallian have modules too?
so like, where sigma symbols are replaced by integral symbols and n tuples of positive numbers by continuous functions defined on compact intervals lol
nope it doesn't
Which book to do for logarithms (jee)
Hardy-Littlewood-Polya 
specific book for logarithms ? I don't know if anything like that even exists
Which rotman?
Because the Hom alg one does Hom alg specific stuff for modules and assumed the basic theory
I'm assuming the basic algebra one
Right that exists
A first course in Abstract Algebra???
I don't think that has modules
No the other one
He has another book on abstract algebra 
do aluffi
it actually has a pretty nice small section on homological algebruh too
you can start from chapter 3 section 5
DarQ shilling Aluffi to everyone
I've never tried lang
any prerequisites for pde?
what kind of pde
for classical pde, vector calc/analysis on R^n
modern pde, solid functional analysis background needed
Any suggestions for multivar textbooks?
I want to brush up on things like green and stokes before I start college.
math books of the pearson publishing pretty good
Spivak?
Alrighty, I’ll see if I can find a pdf!
Ik the course that I’ll be taking in the fall is highly proofs based, so I want to be decently familiar with what I’m going to encounter.
I can send you any math books in the pdf format if you can't obtain them
Found it.
Good grief, this seems rigorous.
I have a hard copy of Rudin on my bookshelf lol.
I found it at a local bookstore for really cheap.
Used ofc.
I’d send a pic but I don’t have image perms.
how much was it?
I bought it a few years back, but I think it was about thirty bucks.
I only read like half of it.
Got to the bit on set topology and my brain blanked.
Duly noted!
If you want something lighter, maybe Apostol?
In any case, I won’t have to take an analysis course for a few years, so I’d say it’s a bit more important for me to focus on getting really good at multi.
What does it include?
Physics major?
Prospective physics major. I’m a prefosh.
In that case, you could probably get away with not doing any analysis at all
Ah I see
ehh you do need analysis and multivariable analysis for diff topo
I’m going into theoretical physics, so it’s very important for me to get good at math.
I was reading a particle physics textbook earlier this summer, and I had to self-study a shitload of group theory to understand the way baryon supermultiplets work,
And spontaneous symmetry breaking type shit.
you definitely do for differential topology
I haven't taken differential geometry so I can't comment, but as for diff topo, I must disagree
You'd need considerable Topology also for diff geo
I only have a rudimentary understanding of topology.
I definitely don’t have the prerequisite knowledge to thoroughly understand diff-top.
Go through Munky. It's like staple for topo
It’s not too relevant to what I’m reading atm,
These days I’ve been reading Griffith’s for particle physics.
If you ever do want to study it, I have a couple recommendations book-wise - those are the literatures my lectures were based upon
What’re some applications it may have to physics?
You're a Physics major, right? Have you read Zangwill Electrodynamics?
I wish I knew, but I have a very rudimentary understanding of physics, only about high school level since I'm still taking the IB diploma
No, for most classical stuff, I just learned from my teacher’s lecture.
I only self studied undergrad material.
He was talking about diff-top.
I hated that book to the core. Too dense for an undergrad course in Electrodynamics in a damn Math degree
Differential geometry and tensor calc are def on my list of things to brush up on. I watched a lecture a few months ago on deriving the field equations from scratch, and it took me nearly all day to even get used to the tensor notation I was looking at.
I have a superficial understanding of most topics I’ll encounter in undergrad, but I want to develop more depth of knowledge.
Last summer, for shits and giggles, I checked out the textbook Einstein himself wrote on special and general relativity.
I read Axler for Lin alg.
The special relativity section just involved standard Lorentz transformation type stuff, but tbh I couldn’t follow the notation in the GR section.
A lot of it was archaic.
Lovely! What do you plan on specializing in?
Ah. Lately I’ve been studying a lot of particle phys because I’m aiming for a research position at my school’s synchrotron next year.
what nice to see people who dedicate their lives to mathematics and physics human civilization is devoloping by contributes of such peoples
Hmmm new maybe but used like 60-70
if you find spivak too terse then folland has an advanced calculus book too
i meant the one discussed from books like evans
i only need to do part 1. do i also need multidimensional analysis? or would single variable analysis(chapter 1~8of rudin i.e.) be enough?
I think if you have a solid vector calculus class
and can familiarize yourself with a bit of the geometry that you would learn (namely, what a manifold is)
you can get through a lot and fill in the small gaps along the way for most well-written books at the "first year of graduate" level
first third of evans is classical, then it becomes modern, so adjust accordingly
look at one of its appendices for "calculus" I think
you need to be able to understand that sort of stuff for the classical parts
hubbard or shifrin
whats your opinion on appendix section of hubbard?
are u from a2c
I left that server a while back, but yeah.
a2c?
undergrad apps community
Pauls notes
for "proofs based" shifrin
Thanks!
I do like how concise Paul’s notes is.
I used that to self study calc ii.
you can learn all of calc 3 in a couple hours with it
Couple hours is probably a bit of an exaggeration
couple dozens of hours you mean
.
This is probs a little out of context for maths, but anyone have some good book recommendations for economics?
You can probably google
Are you looking into economics in general or econometrics
Hello all! -- Not really looking for book recommendations but rather study resources for the ALEKS MATH placement test. Does anyone have any resources or general knowledge about the exams>
ALEKS placement content is up to precalculus and it scales based on how you answer previous questions. I second the Kahn academy approach because their website has activities that are similar to the exam where you have to use some interactive software to draw a graph
would hubbard's appendix section and the whole textbook itself good alternative to rudin 9~10 or spivak?
i don't know if i didn't put enough effor or not but i can't stand those 2
it should be
oh okay thanks
I have heard people rec loring tu and Lee's books here quite a bit
which type?
undergrad or grad one?
i know pressley is extremely good for undergrads
Hello everyone, is the art of problem solving book worth it ? to improve at problem solving or simply while taking undergrad classes eventually I'll get better and no need to bother with it
no
not for that purpose
you would be better off looking at problem books for the subject you're trying to study
AoPS is targeted at math below your level and for a completely different purpose/ endgame
obviously, the more time you spend with math in general (no matter what it is), the better you're going to get
but it would be much more time-efficient to go get a Springer problem book in analysis or whatever you need
yes! I am reading proofs by James cumming, and has his real analysis book, after proofs will be reading his real book, currently taking next semester calc 3
Milnor 😄
But it's modern stuff. If you refer to classical stuff like curvatures and fundamental forms, then Idk
I want to learn mathematics any books for beginners? (I am in highschool btw)
what is your current level of mathematics
if you mean if I am good at it or not? the answer is I suck at mathematics.
do you know how to solve quadratic equations?
yeah
which country you live in? mind telling me?
if you are from usa then i can help you better
I am from India my friend
i don't know your countries curriculum
so since which grade have you struggled?
or did you constantly struggle in math?
mostly grade 9th
uttar pradesh it is.
U know the Thomas calculus book
I am in CBSE board not state board 🙂
Is there an edition with linear algebra to since it’s missing it
Like the 14th edition I’m on about
Its ok.
but is there a book I can solve to learn mathematics?
I am also poor in some basic concepts
what is that
oh
I am at library genesis is there a particular book I need to search for beginners ?
yeah i mean I am in 10th grade that I ofc do. I am just shaky at some particular concepts
the book is only going to take you like 3 days, i advice you to just skim throught the book even if you know the concepts
just to find out if you have holes
Ok thanks brother, I will tell you after I am done with this book I will not try to rush this book.
for the first book i advise you to go through it quickly
just find out if you have some holes
and for the second book i advise you to take time and solve 1/3-1/5 of the problems
solving every single problem is a waste of time
uhh
ok thanks
okay sorry
can I dm you if I need help?
sure
has anybody seen bak&newman complex analysis book?
is the book more difficult than needham or brown/churchill?
does anyone know good book for algebra?
Try 'Abstract Algebra' by Dummit and Foote
i am not extremely advanced in algebra. is this an advanced book? meaning do I need a lot of information on algebra for the book or is it a full introduction to the topics?
Ok now I see that you have the Pre-university role
Forget what I said then. I don't have any recommendations for high school 'algebra'
Apologies
algebra by blitzer
someone knows a good book for stadistics, maybe something that has good exercises to prectica?
Might not be directly mathematics but does anyone have a recommendations for a second course quantum computing textbook?
We had read from Rieffel and Polak in my undergrad course
it is
but it's still a non-honors book
pretty sure almost all problems have answers in the back
@gray gazelle @weak nest thanks a ton!
What’s the best book for advanced calculus
Like a book that covers all of calculus 1-3 with a lot of problems and isn’t hard to read (bad format?)
Also I can’t find linear algebra in any books from the US which is strange?
Wait nvm cause I’m looking at calculus books yeah💀
I’ve got the Thomas calculus one 14th edition to
doesn’t have integral transforms in tho
Looks like a good book apart from that though
Does anyone have a course outline for Knapp Basic Algebra? I'm more so looking for problems related to each section since they're all kinda lumped together at the end
Thomas calculus fits your description but its not "Advanced calculus"
Advanced calculus would be proof based imo
Although It is a good book
Not that I know of I'm just picking up cause it has good multilinear coverage
Also modules and fields have good coverage it seems
so its not in level of stein&shakarchi or freitag&busam?
Yes, although we switched books for abstract algebra part to Rotman. Knapp has pretty unusual and sometimes horrible notation. He also does few proofs in a bit convoluted ways. I'd say H&K and LADR have better exposure for Linear Algebra not sure about the abstract algebra part.
In general Knapp is just not a first time book, it feels more of a revision of things you already know.
Yeah that's how I feel about the groups section so far. He's gone through some things very quickly, however, I wanted to switch from Rotman cause I wanted to address some stuff he doesn't cover. Also his thing about sign for permutations to me is a bit much.
How's DnF coverage of these topics, I think rings and fields are strong part of DnF. (Not my opinion)
Not sure really, it's my algebra professor's favorite book so we used it for groups last semester and we'll doing rings and fields this semester. I just don't like the way the introduced things in the groups so I stopped using it and started using Rotman near the end of the semester
Lmfao looks like there's only way to find out, one that I am sacred of. To actually read it myself
Just so we're on the same page we're talking about Advanced Modern Algebra 1st edition right? Then I am curious as to what topics does he leave.
Knapp
As for Rotman I was reading first course in abstract algebra
I wanted to switch from Rotman cause I wanted to address some stuff he doesn't cover.
I am talking about this
Ohh, I see
Advanced Modern Algebra 1st edition
Opa why would you updoot your comment lmfaoo
LMAO
We will soon find out
I did advanced modern algebra until I saw he had first course I think advanced modern is similar to Knapp but in Rotman's style of course
It's not just me, few people are hs students so it is genuinely tough for them
Otherwise Knapp wasn't that bad
The easiest books I would say are like Fraleigh and Gallian but if you like Rotman's style his undergrad book is good, same structure
'DF is pretty boring/dry' that's the most common sentiment I've heard towards it. Plus you're free to use whatever book you like, the psets are not from a particular book.
DF is easy?
like its not the hardest book out there but gallian/fraleigh is more approachable
i'm currently studying gallian+D&F at the same time
D&F has better explanations imo
like ross analysis
i get that rudin is too terse and difficult to be used for first time but ross analysis is just too gentle and easy
A professor of mine, in reference to AG books, said this about Vakil
"People like this book because it's gentle. Like if the difficulty is 1000, when you divide that by the infinite number of pages the difficulty per page is zero. So it's a pleasant read. Of course, you can start reading it on the day you're born and you'll still be reading it on your death bed."
This is even more true for D&F

lol
It's even funnier to imagine this in his Australian accent
Anyone have any ideas about an introductory information theory book?
thomas and cover is good
I don’t take physics but I imagine a lot of maths crosses over between physics, maths and engineering anyways. I’ve only looked at laplace transforms for solving differential equations and particular integrals but not Fourier series or anything else related if there is
Hello! Do you guys know any olympiad books that actually teach the content? All the ones I cam accross (that I found on AoPS) mostly have problems
Lol, but Fourier transform is a particular of Laplace transform. How did you learn the latter but not the former?
Engel is pretty good at combinatorics, I learned a lot from it
There's also a very good book on induction, can't recall the name atm
Alright, I will look up this one, thanks!
Do you know any algebra books?
Ahh, Titu's Mathematical Induction
What kind of algebra? The high school algebra?
Or modern algebra?
Olympiad Algebra
I never got the difference between it and number theory tbh 😄
Do we have a Desmos role or something
I think the only things that are covered in olympiads for algebra are inequalities, polynomials and functional equations
nope, I got nothing in mind for that atm
Alright thank you!
well... functional equation is partly covered in Titu's Induction. I feel like it contains all the tricks, but I'm certainly wrong on this
inequalities... I don't have any English texts for that one
Does anyone care about functional equations outside Olympiads?
I learnt it out of interest. But I’m not gonna re visit it for a few months now cause I have to do vector calculus first
It's usually taught earlier in an ODE course, from my experience.
how would you rate this book out of ten. I'm looking for a good book.
Understanding Pure Mathematics by A.J. SSadler and D/W/S Thorning
Curious what lead you to post this in this specific channel
?
Book recommendations
Oh. Sorry
I didn't realise
Agh
Didn't see the channel name, I was like, okay this is discussion. Sorry
Any good books on octonions?
Hi , can someone suggest me good resources from where i can study directed angles with problems from the easiest to the hardest pls ?
differential equations are functional equations 🤓
zeta functions are defined via functional equations 🤓
rosen
Hello Mathematicians
Hi Everyone,
I am currently studying Engineering. I want a book for linear algebra which along with formulas, can help understand concepts through visualizing the topics and how it is useful.
For example, I am currently using a book where the introduction of the determinants chapter says that "it is used to solve system of equations using cramers' rule"
but It should describe what a determinant actually is like as we know "Determinants are the factor by which areas change when a linear transformation is applied"
So, Do anyone have a book suggestion for such a use case?
read Hoffman Kunze's determinants chapter
Hi, really appreciate your reply, is the whole book based on linear algebra? Actually I am pursuing Machine Learning and as its precursor I need to learn Linear Algebra, Probability and Statistics and Calculus.
I do not recommend the entirety of Hoffman Kunze if that's your goal
For visualization I don't think any of the standard books are really that spectacular, definitely disagree about Hoffman Kunze. I would look at video lectures
Hi, thanks for replying, I have gone through the 3Blue1Brown, Essence of Linear Algebra series, and that series is the reason why I want to dive deeper
by winitzki
Unfortunately I don't have any recommendations on hand, I just know that while some books do have some visualization, videos that are specifically designed for the visual presentation are far superior in this regard. 3Blue1Brown is certainly the most well known but yeah it's not as deep
I was looking into the hoffman kunze book and the linear transformation part does not seems to describeing it visually
my recommendation is very visual
Hi thanks for replying, yeah I am searching your recommended book online
This is what I am looking for
though there's probably a lot more content in there than you'll need
I haven't read the book but if it's really about exterior algebras then that might be a little bit different from the desired topic
No worries man, your suggestions is all what I needed
Yeah Bro, your book is also good, infact its a compact handbook, I really thanks you for your suggestion
Haha I don't think I made any recommendation
ohh sorry I mistook you for the guy who suggested the kunze book, my bad
Yeah I am reading a bit from ch 2 start, the topic is explained in really simple words
I have gone throught the essence of linear algebra and its amazing
I know that there are some visual linear algebra courses that are intimately paired with programming, usually in Python or Matlab
It might be useful to look at the course materials at some university and see what they do
I've mentioned this before, but I'm a pretty strong opponent of the idea of finding the "right" book that does everything the "right way"
It's easier to draw from multiple sources, which is far easier now that so much is available on the Internet
There is a way to do this. Write your own notes.
Actually I am 😁 but such endeavors can go beyond what a student might be able to afford
That's too a good idea
https://github.com/mitmath/1806 for a course on linear algebra that involves code and visualization if that's what you're looking for (change branches from master for past courses)
Awesome 😃 thanks a lot
Yo there are psets, nice
can anyone recommend e book for aptitude ques. (majorly maths)
Do you guys know what are the differences between Tao’s analysis and Stein & shakarchi’s analysis books? In particular, what are each of their prerequisites in self-studying them?
Just poke through both at the same time. Off the top of my head, the ToC in both are very similar
Better to get two perspectives and jump around than try to “memorize” one book
I mean I don’t have the resources to buy two books that serve similar purpose
Oh they’re online?
I mean like at least I can poke around?
Bc I really do want to keep one physically
Yes
Tao should be free online
S&S would probably need to be… found by alternative means
Ahhhhuh lol
Stein & Shakarchi assumes you have read analysis up to Riemann integration before starting so you would read something like tao first
This goes for the first three books the 4th assumes you know measure theory
Unless you're referring to a different analysis book by Tao
There should be several
One is a first course
Then there should also be one very close to S&S/ Folland
Yeah he has the two book set which is a first course and titled analysis 1 and 2 then he has epsilon in the room and he also has an introduction to measure theory
But I want to say episilon in the room assumes measure iirc
Just the analysis i and ii
Wdym, like read Tao first than Stein & Shakarchi?
tao is an intro analysis book with minimal prerequisites (not even calculus), can't say the same for any of stein shakarchi's books in the series
Ok so would recommend reading both volume of Tao before going to stein shakarchi?
no i would actually recommend amann escher sure
…that’s not really re-asureing
tao is a fine book
it's "an epsilon of room"
the book has a "quick review" of measure theory
and it is quick so yes, better know measure theory beforehand
You know that makes more sense
lol
I always thought it was a really dumb name and now I know why but yeah I was pretty sure he intends it to go like analysis 1 & 2 -> intro to measure -> an epsilon of room
idk about visualizing
but if you liked the last episode
go check out ladr
or another book like that
Does anyone have any idea of any books similar to Ikigai? I like Ikigai, so i wanna consider reading some more of that topic
Does anyone have a reccomendation for a "big book" of statistics
Going from the lowest level all the way to advanced level (i.e Undergrad/Post Grad)
the pdfs of epsilon of room and measure theory terence tao have like 20cm of margins, so annoying
not readable
Billingsley probability and measure.
ayo it's good to see you graduated from hs
I'm still stuck on it
but you can find books on tpl library
you can find some good books in toronto public library (if you live there)
I'm not stuck on actually getting books, just not sure which books to get
Discrete Mathematics and Its Applications by Kenneth H. Rosen and Mastering linear algebra: an introduction with applications /cFrancis Su. I'd suggest those books you may need on tpl library
are you doing engineering program by any chance?
Nope, I'm entirely self-taught in the realm of programming




