#book-recommendations
1 messages · Page 139 of 1
boas
Knuth - The Art of Computer Programming
What is an example of a book that does not need to be read in order and that focuses on problems rather than theory (like physics books that assume calculus as a language but focus on physics, the same but for mathematics)?
Goated.
Then I would focus on mental imaginary (unless you have aphantasia), which is the ability to imagine something. This kind of abstract ability is essential for math and other STEM subjects. I don't really know any book on that, so maybe other got one, or that you imagine things lot ofter (say a ball, why does it roll, what affects its roll, what will happen in other circumstances, etc.).
i recommend this especially if you want something light and with minimal prerequisites (no prereqs) 
Yeah it's just a combination of 8th grade algebra and 9th grade geometry
(Editor's note: Daminark is a lyre and a harp)
lmfao
I actually own this book and tried to get into AG earlier this year, I stole my dads copy since hes has a phd in some field of algebra
ohhh thats nice
i still have a long way to be ready for AG lol
anything?
but now unironically speaking, i would recommend apostol's introduction to analytic number theory if you havent done ANT yet. Actually i am currently studying ANT from this book and i am enjoying it.
(currently i am doing exercises of chapter 2 so i am still at the beginning)
complex analysis and some familiarity with basic nt
You should know real analysis, complex analysis, and some abstract algebra
usually it is complex analysis and elementary nt, but apostol doesnt assume knowledge of elementary nt and as far as i heard you can get away with knowledge of multivariable calc
actually idk complex analysis and i am using it, although i havent reached the part where complex analysis is needed yet
but deltoid told me that you can get away with multivariable calc (instead of CA) if you use apostol
probs just spamming green's theorem or smth?
complex analysis wasn't as hard as real for me
i am not sure tbh, rn i am still at the end of chapter 2 which is about arithmetic functions and there are no analysis shenanigans yet
until now its basically playing around with sums lol
ohhh i see, well i have done until chapter 6 of rudin's PMA before and now i am revisiting it to jump into complex analysis
also because i didnt feel like i understood chapters 5 and 6 (about differentiation and integration) very well. So basically we are in the same boat
@fair fiber this is from apostol
ohhh. Actually i am studying algebra for algebraic NT 
well not only for that but thats a main reason (the other being that algebra is very nice and important for many interesting advanced stuff)
who knows, actually you may like nt if you study analytic/algebraic nt 
Does anyone have a book recommendation for the bo-Adams spectral sequence or a book that covers it in addition to additional material?
what is the most comprehensive book on commutative algebra
i would guess eisenbud
Not an expert on competitions so take my advice with caution. I wouldn’t pick up a textbook - instead I would practice on questions from previous years. A simple google search gave me problems and their solutions for hmmt, but you could probably find bmt as well. Hope this helps 👍
also keep in mind HMMT is hard compared to its peer team-based competitions for HS students
eisenbud
Do you guys have any pre-calculas practice problem books recommended?
For anyone interested, Prof. Ralph Cohen has made his (soon to be published) book Bundles, Manifolds, and Homotopy available on his homepage.
nice ill sure to check it out after it comes out
whats a good book on inequalities
An Introduction to Inequalities by Edwin Beckenbach and Richard Bellman
what kind of inequalities? Probability? PDE?
math olympiad sorts
i dont think this will help in math olympiads
i want something link bj venkatchala but a bit simple
idk if thats ez and im just dumb
nothings gonna help
I heard Arthur Engel also covers that topic but I'm not sure if its Olympiad level
any good books for basic statistics?
blitzstein and hwang does some probability and statistics, wackerly's mathematical statistics is slightly more advanced and more into statistics AFAIK
ooo ty and do u know any good math inspiration books? possibly an autobiography ?
Some others here might know of some, I do not
Ed Frenkel’s book Love and Math is supposed to be nice for that
Ive been meaning to check it out
Yes
This is the one i used
I’m not able to give an isolated review, as this well as notes from Triester were the texts my NLA courses used.
We didn’t cover it entirely but I liked it as it gave me a new way of thinking about processes like leasts squares & svd. It was also really interesting as some of the stuff in here are used by like google & amazon
Highly recommend if you’re an applied person as well as if you’ve taken a LA course already
Which textbook is best for learning point set tooology (want to do algebraic topology after)

Gl bro fr
I like Lee's intro to topological manifolds, it contains basically everything you need for alg top. A lot of people like Munkres, it's more comprehensive, but I prefer the exposition in Lee
Any group theory
It's a clear book that covers classical algorithms for linear algebra, such as Cholesky factorization and singular value decomposition
secrets in inequalities by pham kim hung
is absolute gold
it has 2 volumes
he solves lot of imo problems as examples
also if u wanna look at geometric inequalities i would say titu andreescu book is p good for that
cauchy-schwarz master class
blitzstein and hwang previews some important statistical ideas, but it does not meaningfully cover any stats material
wackerly does both probability and statistics, but i prefer blitzstein's treatment of probability
i literally put olympiad style book above lmfao
I’m taking cal 1 honors, do you think self learning real analysis on the side is fine and will strengthen my calculus skills? What would you do after finishing the book, the book I’m using is introduction to real analysis Robert g.
It depends what you want to do later. If you're a CS student, you probably won't need any more advanced math than linear algebra.
not even in hs yet 😭
Then it's worth thinking what you want to do later. If you're thinking of doing something in math later, then doing real analysis simultaneously with calculus is doable (and maybe you'll have a stronger abstract mind), but since a lot of the stuff uses calculus and linear algebra, it won't be a smooth learning experience.
well real analysis is proof based while calculus is calculations etc so doing real analysis may not really help you be better at evaluating integrals for example, but it does tell you why integrals can be evaluated this way or when is a function is integrable etc..
this doesnt mean that you should or shouldnt study real analysis, it depends on you. rn you are trying real analysis from what i understood, if you like it then continue and if no then you dont have to
Yeah I like it so far
yea then ig you dont need further reason to decide whether you want to study it or no
also keep in mind what Good said, you should think about what you want to do later
for example in uni
you may think that its too early or whatever, that may be right and i am not saying that you have to think about it all day. But having a sort of a sketch of a plan for later is never bad
I didn’t research the different branches of mathematics yet so I don’t really know
🤔
yea thats natural, you need to explore
I was thinking of pure maths but I haven’t explored the other branches
can i know in which grade you are if you dont mind
8
like at the end of middle school
Ye
ohhh very nice
Just started
yea then there is still along road ahead of you
If you have a lot of spare time, do learn real analysis. Just take it as a extra bit.
just explore many different things and enjoy the adventure
As an actual course?
U right!
well technically its still a long road ahead of me too 
What grade you’re in
first year in uni
No, more like other do sports in their spare time, you do math in your spare time.
Ohhhh
the earlier you get comfortable with nontrivial proof writing the better
if you're planning to study math beyond HS
(i say "nontrivial" bc frankly the "proofs" they go over in HS geometry are really fucking boring and/or obvious)
well euclidean geometry is boring 
U think so?
oly geo goes hard
me when the diagrams start looking more like gang signs than actual diagrams
bro all olympiad stuff is meh
all competition math tbh 
idk im washed in contest math, only barely made AIME my last year of HS 😭
well i havent done any competition math ever so you are safe 
yea i mean i hate geometry
even in multivariable calc for example when everyone gives an advice to draw figures to get the multiple integral bounds for example i never draw any figures
i try my best to find any way that doesnt involve drawing figures 
LMAO real
the only "figures" (diagrams) that i will willingly draw is when i study category theory 
well maybe you cant call these figures to begin with but whatever 
there can be interesting books on synthetic geometry, like pamfilos' two-volume book on the subject, kiselev's two-volume work, or Classical Geometry: Euclidean, Transformational, Inversive, and Projective by leonard et al.
it's not necessary to study it in much depth though
Imagine not spending days on one figure
its easier for me to imagine death 
i mean imagine doing that 
I don't need to imagine 
Two versions of the same diagram made in Asymotote.
Another two made in TikZ because why not. But TikZ doesn't have true 3d so it was a pain getting it to render properly
wow bro is good at torturing themselves 
I have upgraded since.
Instead of spending days on one figure, I now am spending months on a TeX project 👍
this upgrade is apparent from your pfp, tag etc.. 
Thoughts on this book everyone?
I love the large amount of exercises and i think its well balanced
never read it but i recommend if it's linear algebra :D
Anyone got book recommendations on the math of astrophysics
Has anyone read Godel Escher Bach?
this from the library or a used book?
I guess you'd like to ask it here https://discord.gg/physics
hm
umm i want to start studying calculas from scratch .can anybody tell me from where to start
It’s standard pretty much everywhere, I had positive experiences with Khan Academy and Stewart’s book. Although the latter is expensive, there are ways of circumventing that
can you give me the pdf of stewarts book?
I cannot
kk
I haven’t used the book in years and that would violate the server policy
u could dm me
Well, I could do a lot of things, as could you
Happy to help
Uni library
guys any reviews about inequalities by bj Venkatraman
anyone know the difference between Dolciani's Introductory Analysis and Modern Introductory Analysis?
was googling some references for FA and operator algebras and found this recently published book
@sturdy shore
What are some good books on quants and financial related stuff?
Does sm1 know any books that talks about special sequences
and like why the Fibonacci sequence for example is important
overromanticizing and glazing the fibonacci sequence (and by extension the golden ratio) is a favorite of crackpots who dont know what theyre talking about
for example i once heard someone try to insinuate that some debussy piece was precisely written around it which was
just hogwash
@sage python
Do you have exterior algebra?
A question: are the exams that universities post for admission or for master's degree students?
idk, i think it's a requirement to get either a master's or phd
I understand, because I see exercises that are quite complicated, even with my level, I can't manage to do some exercises.
You have ben given several texts which introduce exterior algebras over the past several days
Hahaha, I know, I've found what I need, I've become a bit obsessed xde
Im taking a ML course, anyone have reccomendations for a solid introduction to the area?
for anyone seeking calc
ur acc not allowed to post pirated content on the server. discord doesnt like it, esp for partnered servers
oh my bad, didn't know that
I'm 99.99999% sure they weren't asking about Meta Language
Wdym
brian hall actually has a book on lie groups, which mainly focuses on matrix lie groups. i saw the string "adjoint representation," but not "coadjoint representation." i also looked at knapp's Lie Groups: Beyond an Introduction, which also mentioned adjoint representations, but not coadjoint representations
what is interior algebra
So it isn’t that important?
I always hear sm1 glazing it so I thought it was important
Adjoint representations are relatively standard and would be covered in any book on Lie groups I guess. Coadjoint representations are dual to the adjoint ones, and one context in which I have seen them crop up prominently is Kirillov theory/orbit method. You can take a look at Kirillov's book "Lectures on the Orbit Method" for details (the book assumes some understanding of Lie group representations).
A less geometric but somewhat drier account, specifically in the setting of nilpotent Lie groups can be found in Corwin-Greenleaf's "Representations of nilpotent Lie groups and their applications".
contrary to what pop culture tells you it's not that interesting by itself? but can lead to some other interesting related topics: linear recurrences, various geometric relationships, continued fraction/infinitely nested square roots, etc
Oh
Not fibonacci (thats boring) but a sick book with techniques to deal with sequences is generatingfunctionology2
Yes!
I just used generating functions today for to deal with a probability question
Like i apply law of total probability to get a recurrence relation for a sequence and then I used generating functions to nuke the problem
does anyone have any recommendations for a rigorous book covering flat modules and Ext and Tor?
Module theory is a fundamental area of algebra, taught in most universities at the graduate level. This textbook, written by two experienced teachers and researchers in the area, is based on courses given in their respective universities over the last thirty years. It is an accessible and modern ...
i would say rotman and weibel seem to cover more on the topics you mentioned specifically
which one of these do you think is better?
rotman's easier. covers less compared to weibel. assem and coelho is a more general intro to modules if you care about that, but ctrl-f doesn't yield as many hits for ext and tor.
Thanks!
weibel's homological algebra is a hot take imo
i dont like rotman
is it your take?
yes i studied with weibel
skimmed some of rotman's book but i didnt like his text
hmm I’ll check out weibel
There's also a book by Scott Osbourne which is apparently pretty good: https://link.springer.com/book/10.1007/978-1-4612-1278-2
<@&268886789983436800>
i found a book from 2020 on it, An Introduction to the Circle Method by Murty and Sinha, vol 104 of AMS' Student Mathematical Library
no idea if ur still interested in such a book but
it's good so far
Im looking for books/notes on floquet theory. If anyone has some please lmk 
Any book recommendations for pre algebra?
don’t really need a book for that
I get by now you feel this way about all math up to calc
but it doesn't really help to answer that to someone who is asking and wants a book
Openstax has a free one
Mac Lane's Homology might interest you (if you love abstract nonsense, because of the author)
Also Manin's Methods of Homological Algebra uses category theory and sheaves freely.
What's that?
I’ll look at those too, I just hope they don’t skip over a lot of details
Oh okay
Books are good!
@narrow relic
I’ve had Mordechai Ben-Ari’s Mathematical Logic for Computer Science (Springer 3rd edn 2012) recommended to me. But I thought this pretty second-rate. The level of exposition is poor, and indeed at points seemingly outright confused (e.g. about the status of the Deduction Theorem for a Hilbert system). Someone who already has a grip on the standard math logic approaches could, I guess, get something out of the book by diving straight into the chapters on propositional resolution, SAT solvers, and first-order resolution, for example. But I didn’t find this material well explained: it is surely treated more pleasingly elsewhere.
i'm looking at huth and ryan and it seems good
The second edition of this successful textbook continues to provide a clear introduction to formal reasoning relevant to the needs of modern computer science and sufficiently exacting for practical applications. Improvements have been made throughout with many new and expanded text sections. The ...
Did you read everything bro 😭
yo
Somebody can suggest me problem sets from basics to advanced in probability and statistics...
As I can do easy questions
But the hard questions for me looks way to harder than actually it is...
What level in general are you looking for?
I am looking for papoulis and pillai level book
I have heard it from my professor
But it's not from basics to advanced
Does anyone have a book for preparing for IMO for beginners? ;-;
is there good book to study all arithmetic or a very good foundations in math for beginner
yea start egmo by chen evan
hey all
hope you are doing well
so this semester I'll be studying topology for the first time
(- 𝑡𝑜𝑝𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝑠𝑝𝑎𝑐𝑒𝑠.
- 𝑐𝑜𝑚𝑝𝑎𝑐𝑡 𝑠𝑝𝑎𝑐𝑒𝑠.
- 𝑐𝑜𝑚𝑝𝑙𝑒𝑡𝑒 𝑚𝑒𝑡𝑟𝑖𝑐 𝑠𝑝𝑎𝑐𝑒𝑠.
- 𝑐𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑 𝑠𝑝𝑎𝑐𝑒𝑠.
- 𝑛𝑜𝑟𝑚𝑒𝑑 𝑠𝑝𝑎𝑐𝑒𝑠.)
and would like you to suggest some beginner friendly books
i believe munkres is the standard for topology
thanks Ryan
Topology and Groupoids i think it’s called
I like it personally but it’s not the most beginner friendly and it rises through the point set section as if you already know it
has great exposition for the intermission between point set and alg top
bert mendelson's book covers all of the above minus the normed spaces and is perfect for a beginner
and it's short but dense and you prove a lot of cool stuff
i enjoyed it a lot during my studies, although yeah you might want something else for supplemental purposes / exercises
I really liked gamelin topology
kelley's general topology is quite nice
though it is somewhat dated
what is the most comprehensive analysis book
or series
i am looking for something analogous to lang's algebra
Possibly Barry Simon's Comprehensive Course in Analysis is what you're looking for
More elementary, there's the Stein and Shakarchi series: Fourier, Complex, Measure & Integrals, and Topics
basic mathematics lang maybe
Lang - Real and Functional Analysis 
but I don't really know if it's as comprehensive
it is almost 600 pages
ODE recommendations? Like i tryna find that book that does not throw some method at me without any derivation/proof because I want to understand what is lying underneath those methods,
Arnolds’ is well-liked as a rigorous ODE book
Book recommendations for class field theory? ideally with a lighter AG background, although I have galois theory
does anyone have books that are just integral problems
Solely integral problems? Try caczor and nowak third volume
is there one thats more like friendly i am just like 1st year undergraduate im interested in learning more integral techniques and things beyond those taught in classes
Alright, try I A maron problems in one variable calculus
You have almost everything there
And one advice:- don't solely rely on techniques
Rely on your intuition
did you look at huth and ryan?
a lot of the methods used are reliant on the symmetries of the ODE, so perhaps you can try a book that emphasizes techniques involving the symmetry group
just have it printed with lulu
also used paperback copies don't seem particularly out-of-reach price-wise either
could be $17-25 pre-tax and shipping + handling
not too bad for a book that's been in print for 21 years
guys
i want to freshen up my
knowledge of number theory
like the basic number theory
i dont have any reference book sin my mind
what should i do?
thanks bro
What's that?
I am looking for a modern introduction to proof based linear algebra, with a more concise style compared to sheldon axlers discussionary style.
Uh perhaps Greub? Iirc it covers quite a lot of stuff in ~300 pages, but its not an easy read from what I have heard.
Intermediate calculus?
Greub is more concise but as grass has said, way way harder, at-least of the bits I've read it seems almost like a reference of most of the pure linear algebra you'd need but condensed quite a bit
guyss i need a book for class 9 maths cbse that goes from basics to advanced (imo olympiad level)
what's aops?
ah
okay
Does anybody have some book ideas for more advanced higher mathematics? I know how to do stuff taught in school like calc, trig, et cetera. But I want to get a jump start on more university topics like modular arithmetic, number theory, group theory, linear algebra, etc. Is there a book which explains these topics at my current level? I don't mind how long it is.
anyone went through conway complex analysis - 2 ?
i have done ahlfors complex anal and i m planning to look at conways book soon can someone tell what prerequisites book assumes
Thomas' Calculus, maybe ? I have one
Is lulu a book?
Discrete mathematics book recommendations pls
Rosen
Try indian book like R.D. sharma for class whatever you are in.
If you haven't taken a proofs course, I would recommend it. Generally, a proofs course will involve some introductory number theory.
Perhaps this?
not solely, but Demidovich fs is a good problem book
Hi, I'd like to get a little familiar with this world. Can you recommend a book that could help me learn a little bit about everything? A book that could teach me the basics of everything and help me learn.
I want to know what awaits me in the future and go prepared and with prior knowledge.
try lang’s basic mathematics and/or the princeton companion to mathematics ?
Does anyone have a book about Propositional Logic?
Why do you need a book for that
The one we use in college has a HUGE amount of errors and when I'm trying to study with it, I get discouraged by problems that seems impossible
My classmates have the same situation
any basic discrete math text should have a section on that
Could you share some books?
I have
You may like this
Hello
The Princeton Companion to Mathematics is an amazing book, but I don't think it's the right recommendation for an engineering major who wants "to know what awaits [them] in the future"
or for learning "the basics of everything" (which, to be fair, isn't a reasonable expectation from one book, but anyway)
it's more of a coffee table book for math grad students. Also rather expensive
don't get me wrong, I'd recommend anybody check it out at some point for fun, it rules. But I could imagine this engineering major ordering this cinder block of a book, opening it and being like "wtf is this"
So what do you recommend, my friend?
I’m a professional power engineer. Back when I was learning, my boss actually had me work out iterative numerical methods—like the Newton–Raphson method—by hand on paper just so I could really understand how PSS®E power flow converges.
Honestly, the math you’ll need depends a lot on which engineering field you’re going into. For example, linear regression is handy for short-term weather data forecasting or filling in small gaps of missing data, but it doesn’t really cut it for complex weather predictions. I’m not too sure about what’s most useful in other engineering fields, though.
I agree
CS reminds me of those complex logic gates... wait that's for EE... like semi conductors...
Let's move this to discussion since it's book recommendations chat here
the book "basic mathematics" by serge lang
I tried using it, but i totally failed to understand it I need maybe something more basic
Not a book recommendation but a yt recommendation
Check out prof lenoard
he does detailed guides from pre algebra to differential equations
and then check out Paul's math notes
You also have open stax
don't buy books if they can be found as pdfs of pdf drive
Full title
Thanks ♥️
it's really written for a math major who wants to go back and review all the basic stuff
the presentation assumes mathematical maturity
it is very good
but not necessarily easy
I think that's why it's so tough for me
Exactly
Hello nerds and bibliophiles
So ,do you have another basic book for recommendation?
honestly, any school textbook for that level of material is alright
the presentation of those books tends to annoy math major types, which is why a book like Basic Mathematics is nice for them
but for, for lack of a better word, "normal" non-math major people, any basic algebra, geometry, and precalculus text is fine
you want to have lots of repetitive examples and highlighted boxes displaying the definitions and theorems and color pictures and stuff
and no books like that are particularly better than any of the others
in my experience
or just use youtube and khanacademy and other online stuff, if that works for you
you can learn all of the basic stuff from those alone
What books would y'all recommend for learning homological algebra and algebraic topology after having taken first courses in each topic?
So what do you recommend, my friend? 
the last bunch of stuff I wrote was written for you in mind
oh, thanks
in that case do you have any books of that type that you recommend or any YouTube channels?
I copied the original message ngl
This channel focuses on providing tutorial videos on organic chemistry, general chemistry, physics, algebra, trigonometry, precalculus, and calculus.
Disclaimer: Some of the links associated with the videos in my channel may generate affiliate commissions on my behalf. As an amazon associate, I earn from qualifying purchases that you may make...
art of problem solving's "prealgebra"
maybe that professor dave channel has something
Cool bro
my honest reaction:
Told u I was Albert Einstein son
202929299191+12882=2.0293×10¹¹
292928281x292928=8.581×10¹³
29828282+828282=30,656,564
292929x299282=8.767×10¹⁰
guys im albert einsteins son
also
8282882828282828828288388383x82828282882828282882=6.861×10⁴⁷
73737377373738828282828838383838x828288383838388484848488483838=6.108×10⁶¹
7373773838383838838383838738388282838288283+82838388383838838383838838383838388383838383883=8.285×10⁴⁶
Yes rgn is my brother
I checked the basic integral basically calculus playlist its 331 videos 😭, if i wanna learn, functions, itf, limits continuity, differentiability then differtiation integration is that a great source or are there any better organised lectures?
I prefer learning from books, and if there's a particular topic I'm having trouble with, then I'll check out videos about it
Just use an analysis textbook
dieudonne’s treatise on analysis if ur really mature
spivak’s calculus (not on manifolds) if this is ur first exposure
maybe papa rudin in the middle
It's my final year of h.s.
then spivak fs
I found one called calculus on manifolds is that it?
I'm sorry it's my first time hearing about these references
Any book or website recs to learn python I know basic C stuff
yes, the python tutorial
Would a first group theory course be too early for Roman's fundamentals of group theory
I'm just going through it, looks really fun
looks fine, he says he doesn't assume any group theory knowledge, just mathematical maturity
i haven't read the book but skimming it, it seems fine
i'd probably put the sylow theorems earlier but hey, he's the author
Awesome, looks like I'm going to have a lot of fun! :D
btw bungo, somehow I was able to download random springer books directly from springer link yesterday for free
Was able to download books worth around 500 EUR I'd say
nice, was there a glitch or something?
I have no idea
can't argue with free
Do you study analysis yet
Doing it this semester
And abstract alg?
This is my first abstract algebra course
What’s your thoughts on the cantors diagonalization method
Idk, It's cool I guess
Sup…?
When u studying topology
Wha you reading
From
Without
*author
Well, I will try again, seeing as my last question was in the middle of a discussion round. I'm currently taking first courses in Algebraic Topology, and Homological Algebra. These classes are mainly covering the topics:
- Homology
- Very basic homotopy theory
- Singular & Cellular Cohomology
- The cup product
- Poincaré Duality
- Basic category theory up until derived and triangulated categories
I then wonder what do you recommend I read next, once finished with said courses. Thanks in advance!
Hello I am doing calc 2 right now, but I am interested in reading an introductory real analysis book
Any recommendations?
how about spivak
Spivak's calculus?
Is it possible to read in through a browser?(like opening a. Page of this,not purchasing the digital book)
yeah
Hmmm piracy isn't permitted
So it is likely that they won't answer this
I will give it a try
speaking generally, pdfs can be read in browsers
dieudonne treatise on analysis volune 1
or baby rudin
Hello, some book of techniques of proof that they recommend?
also perhaps simon’s course
polya’s how to solve it?
Never heard it, thanks look so good
Thank you
note: this does not cover riemann integral
but only cauchy
2nd vol covers lebesgue iirc
i only want to give it a brief read
i will do it in detail once we reach there
thanks for the help
Riemann is skipped altogether?
Eh, definitely not an approach I agree with.
Anyone know any good introductions on PLT? I'm currently working through https://plfa.github.io/
This book is on which topic?
it's in the name, it's a treatise on analysis
does anyone recommend Mathematics for Machine Learning by Marc Peter Deisenroth?
i hear good things about abbott's understanding analysis.
i hear good things about schroder's mathematical analysis
empirical risk minimization is an important topic, and the book has a section about it, so that's a good sign
I want to get good at mental maths, specifically with radicals and exponents.
Any book recommendation?
Did it come from me
I don't think there are books specific for this
I'd say it's just a matter of practicing
tbh it comes from many people in the server 
personally i prefer rudin's PMA but i wont recommend it here, but maybe if you dont mind struggling for quite a bit then try it out

Careful, you’ll summon outsider
i had this thought too 
oops, maybe i should delete before its too late 
I read it and couldn’t finish the first page lmao
Fellas, got a good book on physics?
Especially thermodynamics and electromagnetism, since i want to deepen what i learned at school
well you would have to struggle too much especially at the beginning
but i chose it especially for this reason, idk why but i deliberately chose books that i know i will struggle alot with for many subjects 
maybe i find such books much more fun than ones where i wont necessarily struggle much with 
Just choose abott fr fr
I love this

i wouldve considered it if its title was misunderstanding analysis 
is it worth reading baby rudin after abbott for new material? or would another text be better
new material?
like, you already studied real analysis?
like after going through abbott
Oh sorry, thought that was baby rudin and abbott
No
Don't do that honestly
You dont really gain much out of an undergrad text from other sources bc tbh, its pretty standardized
i havent used abbott before but from what i hear it doesnt work on metric spaces in general for example (at least not from the get go). But either way i wouldnt recommend doing that
i think it would be a waste of time
what would you recommend? is papa rudin too far up
How far are you in your ug career?
im a soph
have you studied linear algebra and or abstract algebra?
yeah dummit and foote and axler
What is missing from papa rudin that you are not understanding?
Also being a 2nd year in ug is kinda early for grad lvl. I am not saying its not possible but the point of ug is to get mathematical maturity, which you will hear a lot about in this server if not already
Chances are if you took analysis and not getting real and complex by rudin, then there might be a gap missing in the comprehension / math maturity between the two levels
lesbegue and hilbert stuff i havent really seen
maybe try complex analysis
This is an option, but imo not needed ^
I would personally say, a lot of the time in taking grad lvl classes, i am a ug and you realize they are literally no different than undergrads except those who are close to finishing their thesis/dissertation ofc (imo). But you will have to always self study concepts you dont understand
yea sure, i wasnt recommending that as a prerequisite for papa rudin or something like that. just a random recommendation 
If you are always self studying every time you learn something, then it probs isnt the right time for you to take that class, but once in a while is pretty normal
got it, any book recs then?
yeah second book after abbott
This is a playlist i skimmed through and can understand after ug algebra and analysis
It seems pretty good tbh
But this might help you much more than a textbook, but Folland isnt a bad text either
thanks!
Dont be afraid to find playlists on yt, its my goto thing to do; and ocw is also a good resource
oh yeah i saw ocw uploaded a real analysis course recently, but it was an introductory course
Look for measure theory on there
this is basically intro to measure theory at mit
you can watch it, but it should not be needed
ok thanks!
What
Is there any book with all the math you need for comp sci?
Not one book but you'd want quite a few
Feel free to suggest
I havent touched maths since high school
Something on analysis, linear algebra, probability theory and statistics, theory of computation, some on various aspects of programming, if you want to do crypto or ML you'll need some other books and for crypto it helps to know some abstract algebra alongside the linear algebra too
if you mean for a CS degree, you likely will need/do through Calc 2 maybe 3, Discrete Math, Prob/Stat, Linear Algebra
there are plenty of recommendations asked repeatedly here to search
You need to be specific. But Boolean algebra is sure some math CS has.
The more hardware of CS you’re referring to, the more math it’ll be.
hi, someone can recommend me some books about thermodynamics, please?
might be better to ask this in the physics server
intro thermal or stat mech
I was just wondering is " All of statistics" really that great of a book to read form?
out of sheer coincidence, a little over a year later, i picked up a copy of the first edition today, which is instead titled Real Analysis with Real Applications. it appears the edition you were asking about cut down a lot of the first part (at least 85 pages). supposedly this is meant to give "greater emphasis" on the latter half of the book, which seems to have plenty of nontrivial applications, but the table of contents for the second part of both editions don't seem to differ. there are other organizational adjustments (one notable adjustment is deciding to cover least upper bounds before limits, which is more in line with other books i've seen) and some new examples. i suppose in practice the authors didn't cover some of that cut material as often as they'd hoped (for example, there is some discussion of what's generally considered more advanced material like L^p norms, L^p spaces, and abstract integration in the first edition). a short review of proofs was cut as well. the cut content is available here: https://www.math.uwaterloo.ca/~krdavids/RAA/real.html. i think the first edition is better if you're looking for more content. from skimming my copy, i wouldn't quite recommend this book as a first course for the average student, but it could be a good alternative to rudin for stronger students.
Are there any go to texts if i want to learn helmholtz’s theorem/decomposition?
I didn't find where to put it, where do I can?
Intro thermal
#old-network has invite link to phys
@remote vortex
Roman's algebra book is so good
It's a book specially aimed for CS applications, such as AI.
If you want to have good foundation, read it. But usually using it as a reference is also fine.
Can I get some combinatorics books reqs?
There are quite a few options here. Where are you at in math rn?
And is there any particular angle you're hoping to take on the subject? (eg linear algebraic methods)
Generically I have been recommended "A Course in Combinatorics" by van Lint and Wilson
anyone has any book recommendations on polynomials? preferably not a very advanced one
apologies for the late response. I just got into uni and we have a course named intro to combinatorics. Our professor told us that she will teach the subject without having to get too deep into the whole theory-proof shabang. I dont rly know what that means, but you prolly do. I am not very familiar with combinatorics
I dont know any of the angles I could potentially take
I'll give this one a read
Okay my combo class was very proofsy and upper level so this book (which we didn't realize use but which the prof said is good and an "advanced reference") may not be as useful
Try "Introductory Combinatorics" by Brualdi
That's the book my uni's combo class which isn't hyperproofsy uses
okayyy thank you
hello, i got a good background in bilinear and linear algebra, do you have a book with a good chapter on convolution to understand it deeply ? i'm following a signal processing course but i'm very curious on convolution

What
What even are metric spaces btw
Topology?
Aw fuck
Well I’ll learn it later
basically sets equipped with a notion of distance
yes
with d(x, y) := ||x - y||
yes, but the converse isnt true
well there are normed spaces that aren't inner product spaces
norms that come from an inner product have to satisfy the parallelogram law
Oh I see
I never learned about norms so im not well read on the definition and all the things they do
bro spams it all the time in real analysis and then forgets about it 
I split that one in two parts when I learned in analysis 2
yea, in rudin its written as d(p,q)>0 if p neq q, d(p,p)=0
Same in tao
but yea mq only wrote a part of that
it's the same for normed spaces, ||v|| = 0 <==> v = 0_V
np all good 
yea well since norms are metrics
Yeah well atleast they induce one
i dont think that i am the best to say things about these since i havent fully studied LA (probably strange), i started but then stopped
i will get back to it soon
how did you know that i am doing that 
actually i am studying AA rn 
thats why i said its probably strange here
i am near the end of group theory part of lang's book, currently at actions
yea its very nice
Oof lang
i was waiting for someone to take the bait 
its lang's undergraduate algebra
not lang's algebra
ohhh i see. I actually enjoy his style tbh
thats why i will use his CA book when i start with it
Boring and some concepts being left unmotivated
he more or less gets straight to the point, contrary to D&F for example which is too chit chatty imo
Ello
tbh i dont really get what people mean by the ideas being motivated/unmotivated
I find things like cayleys theorem very enlightening
what exactly does that mean
Motivated meaning a lot of substance to use as intuition
Philosophically it confirmed group theory as a continuation of the study of permutations that had been happening earlier
i see
hmmm i think i get what that means now
thanks for the explanation both of you
Its more that group theory is the study of permutations at all
Groups are more just those particular permutations that behave well
Before group theory there was some study about permutations being done
But then as people got more comfortable with abstracting the concept of permutations, they realized that it elegantly explains a lot of strange concepts in what was algebra then
And as we keep giving sets more structure those new objects explain some new things
So the reason why group theory is important is not just that its cool math, but its that in any situation where you have things permuting, group theory can save the day if needed
And I dont think it needs convincing that permutations come up often
miklos bona's A Walk Through Combinatorics
but that only applies to finite groups no?
You can still look at permutations on infinite sets
sure, but is there an isomorphism between any infinite group and some infinite permutation group?
so like is every group (finite or infinite) isomorphic to some permutation group (finite or infinite)? or does this fact only hold for finite groups?
okeoke i'll check this one out too, thank you
all groups are isomorphic to a subgroup of a permutation group
ohhh i see, now thats interesting
You just have to use ordinals to make that sensical
But mathematicians made ordinals so that we could do that (at least I assume thats why ordinals exist)
Any recommended books on statistics?
I’m about to do a masters in bioinformatics, my bachelors was in biochem, but I want to strengthen my maths skills beyond what the course will offer
look for texts in “mathematical statistics” specifically if you want more rigor
my stats class used wackerly
In this video I go over my background of writing books, and how I plan to turn them into videos. I also say "um" about 162 times.
jay cummings has a youtube channel now!
Thank you I’ll take a look
Do you know probability at the level of "A First Course in Probability" by S. Ross?
I haven’t read it, let me look it up and see
yea, in the spring/summer he said he was gonna start with videos for his real analysis book
but he started with proofs his book instead
Having skimmed through a bit of the book and looked at some of the questions, I’d say I’m maybe around that level. There’s definitely stuff in there I don’t know but I reckon I could work through most of the exercises
Oh hoh
I have a lot of stats book that I can recommend you
Beginner:
Schaum's Outline in Statistics
Mendelhall Statistics
Naked Statistics
Mathematical Statistics
Well.. uhm... idk any advanced and other elvels
but in genral this is valid since all the contents are the same
It covers more modern-ish topics rather than what would be covered in a classical statistics book like the one by Casella and Berger
i’m looking for a free online textbook to self study real analysis, any suggestions?
lebl, trench, zakon, or thomson & bruckner?
Approved? Lmao
Oh that's just a way of saying it's open source and good for a full blown class
I got a reprint version of the "How to Prove It" book by J. Velleman
Best $12 purchase
does anyone have books on history of the math tripos, especially about the old ones before reform, the history of reform. id also appreciate detailed biographies of hardy and littlewood, or books on the general cambridge mathematics in the era of 1890+
is titu's complex numbers from a to z recommended for first read? i mean i know the basics, i have done some analytic geometry and mecmath's trig, but wouldnt say i know a lot of polynomials stuff or have had a formal introduction to complex numbers.
What's your opinion about the book?
Really nice! It reassures you that you don't have to worry if you don't know where "this and that" came from since they go through it
thoroughly
for real analysis
Thoughts on the book "Fundamentals of Data Structures in C"?
Never heard of it
Abott 
Yo could I just start humphreys's book on coxeter groups right away or should I read that one intro to geometric group theory book first
Intention is to work with a professor that does coxeter group stuff
Neither are really a prerequisite to the other in any way
I’d read the Humphreys’ book first bc that seems much more relevant
what is the point of responding wit this 😭
What are the best books for these field:
Complex analysis
Real analysis
Proof writing
I want to get better
- Ahlfors
- Rudin
- Hammack
you can choose what you like from these 2 lists for CA and RA respectively
as for proofs i dont think you really need a book dedicated for that tbh
personally i will go for lang's complex analysis when i start CA soon, and i do agree with brandon about rudin for RA
(although many people wont agree on rudin
)
so if you click on the link it doesnt teleport you to the message?
I can't find any list
scroll until you reach "what you should use in analysis"
go to that message, this list is for real analysis books
and then scroll down a bit more until you see "Ahlfors", this will be the list of complex analysis books
do they appear to you?
Okay I've seen them thank you
I'm just trying to get into pure math, in school we are not really taught properly so I've to start self studying
That’s good
ohhhh nice, yea in school you wont learn proof based math
keep it up, and whenever you have any question you can ask in the suitable channels like #real-complex-analysis for RA and CA
also you should keep something in mind, dont give up if you find things hard because things are hard at the beginning
especially since its a totally new transition to proof based math which is different from the math you've seen so far
but eventually things will better with lots of practice
good luck on your journey!
I've been doing some proof by the way I'm not entirely new to pure maths, took Abstract Algebra 1 and Real analysis 1 and 2 last session
Groups , convergence of a sequence , Riemann integral (but not the proof aspect )
But I will put this in mind
ohhhh i see, yea then you are probably more than prepared
Rudin
Rudin
Unnecessary
according to some friends
In my number theory class we basically started at axioms and then proved some of the fundamental theorems from the ground up, are there any books like this for optimization?
as an alternative to rudin check out abbott's understanding analysis.
Can you recomend me some beginner friendly combinatorics books?I am kind of aware and can solve some very simple problems realted to NCR and FPM/FPA
Thanks a lot
read this messgae and forgot to reply to it. thanks for the in depth review, and actually this is very useful to know.
yeah after reading the ToC this seems really cool
wonder why its not talked abt as much
well, there are dozens of competitors out there. sometimes books just fall by the wayside cuz not many people use or talk about them. it could also be because the core material is covered pretty rapidly, while many professors may not be interested in teaching applications or would rather teach different applications.
hmm ok
any recommendation for learning combinatorics
books for undergraduate level math logic
bona's A Walk Through Combinatorics
thanks
This user-friendly textbook introduces complex analysis at the beginning graduate or advanced undergraduate level. Unlike other textbooks, it follows Weierstrass' approach, stressing the importance of power series expansions instead of starting with the Cauchy integral formula, an approach that i...
you might like this; it's rather concise
Can someone recommended some good pre algebra books?
What’s a good book(s) to bridge the gap between lee’s topological manifolds & lucks surgery theory (bordism rings, transversality whiteheads theorem etc. are required)
I will check it out tysm
Can anyone suggest me a book for high school
What have you already studied
Everything that is in High school except quadratic equations
Introductory books on measure theory other than Sheldon Axler's book
do you mind me asking where youre from? cause how is it possible youve done evrything else and not quadratic equations
India as u know
don't
it was a joke
For quadratic equations, don't really need a book
Try "Real Analysis for Graduate Students" by Bass
Or "Real Analysis" by Folland
I'm looking for a PDF of this book, it's currently unavailable on the site.
Unless I'm being an idiot and don't know how to use it.
That person was ASKING for books, not recommending you one
if you really want one, try https://www.stitz-zeager.com/Precalculus4.pdf
Bass, Folland, Royden, Cohn, Schilling
cohn
angus taylor's general theory of functions and integration is really nice as well
Billingsley is common to my understanding
YouTube
Then practice and practice practice practice practice practice practice practice practice practice
This book is good: https://sites.math.duke.edu/~rtd/PTE/pte.html
I second this curiosity
Quadratics are like alg 1
Aren’t they
at least factoring
and other stuff stems from those ideas
“everything except quadratics” casts serious doubt on your claim of having learned everything else in HS math 
I hadn't remembered that I had this book. It also explains differential forms and exterior algebra very well, although it doesn't mention them in those terms.
I'm so used to several different math authors making innocuous sounding titles for grad level texts. So imagine my surprise when I see this book and open it to find it is actually basic math.
yea imagine lang having a book on basic math 
I hate cauchy
he keeps popping up
with all his random stuff
how can I for once get rid of this annoyance
where can I learn what the heck does it mean when someone mentions 'cauchy this, cauchy that'
what the hell did he even do
real asf
Well he has a bunch of results in analysis
I can't tell if this is ragebait or someone genuinely wondering what cauchy did, because if it's the second; look into real and complex analysis please
😭 def not rage bait
cauchy sequences, cauchy kernel, cauchy-goursat lemma, cauchy's integral formula
just tryna sum up the reqs for rudins
yep, those are a lot of cauchys
He was a very prolific mathematician, I'd assume biographies of him can be found, and a lot of his work is in analysis, so if you learn some analysis you should more-readily see his impact
how do you even get into analysis
also what sort of analysis sorry
Pick up rudin/abbott/amann and escher/whatever and start reading
Analysis is a lot to chew and it takes time
the neighbors part is impossible though
I suppose I need some topology or something
what neighbours part
Well rudin should cover the topology you need within the text itself
neighborhoods im guessing
is that papa or baby rudin
functional analysis, I think It's baby rudin
........

is it not
baby rudin is "principles"
You want "Principles of Mathematical Analysis"
ew
then you read "Real and Complex Analysis"
then you read "Functional Analysis"
but I need functional analysis
for what
hilbert spaces supposedly
Yes because FA is built on measure theory which is built on basic analysis
What is your eventual goal
applying hilberts to latent spaces in ml
bro jumped to grandpa directly 
damn, that’s crazy 
real
i mean you dont specifically need to do the 3 books of the same guy 
That's the thing, you don't
but yea you should do intro real analysis before functional analysis
There's several well known texts on functional analysis
but all of them assume you at-least have done the content of baby rudin or equivalent, most also assume some measure theory, though AFAIK Kreyszig doesn't
so you actually dont really need the second book
One of my friends did a course out of Kreyszig last semester and only had the equivalent of baby rudin
but maybe you should know some measure theory, i dont really know since i havent done FA yet
AFAIK you lose some generality though
what BCs is he doing?
or at what point in academia do you do that
Was a CS major, switched to maths
Mid-late UG or early grad school
mid late? 😭
yep kreyszig only assumes intro analysis
this preqs seem great
what is that book called?
this is from follands "real analysis"
you dont need measure theory for this, he covers it at the beginning
... metric spaces
where do metric spaces come from
baby rudin
They're topological spaces with a metric, aka a notion of distance
And if you read baby rudin you'd learn them
you will have to go through something like that anyway
so I should just read baby rudins intro
Both books mentioned, Kreyszig and Folland both assume you know baby rudin equivalent analysis
then I'm good to go
exactly
no, the whole book up to chapter 7
dont read beyond chapter 7 from baby rudin
I've heard chapter 8 and onwards are bad
hm?
oh
people say its too messy and bad after that
There's better sources for multivar
i think you can do chapter 8 if you want
its not multivar
its about special functions like gamma function, power series etc
no offense, It's not that I don't like math but I think of it more as means to an end 😭
Chapter 8 is fine/good, 9 is kinda mediocre, 10 is mind virus, 11 is just a bit out of place
....disappointing /lh
mind virus???? wtf does that mean
If I can get to my goal without doing much theoretical jargon that would be great
sloth can give you a more accurate review
like this for example
You'll realize that most of it isn't actually "jargon" and that we have specialized terminology for a reason
mind virus 😂
"10 is mind virus" 
😂 is used so much we have a deep fried version
just for it
yeah this is where engineering diverges from math
we don't find proofs, we just probe it until something sticks
dami, what do you recommend for multivar analysis. Pugh?
Pugh I've barely read, it seems a bit awkward in the topology side
can you skip topology all along, or do you have to read one book on it at some point?
Does it define forms via multilinear algebra or using that nonsense about "Oh it's a symbol looking like blah that sends a parametrized surface to this integral"?
depends on what you want to do with topology
Which is the most stupid fuckin thing ever
if its for things like analysis then you can find what you need in a textbook on analysis
great
this is sick indeed
also, how do you get those roles you have
I've been told I should aspire to learn 'spectral theory' and 'representation theory'
i dont really know, i am actually asking to know what to use for multivar 
Who told you?
what the FUCK???? I've only ever seen the multilinear/tensor way of doing it
the ml dudes in some other place
apparently It's helpful to know it
Frankly, they just dumped a ton of random fields on you
I do not know where the hell rep theory shows up in ML
damn lol
i mean if you are doing engineering then i dont think you would need representation theory for your studies lol. If you want to study math for fun then sure you can study whatever you like
I think I do?
If you just want an intro to ML, just knowing basic calculus, finite dim linear alg, and (calc based) probability seems enough?
Machine learning foundations mostly just need linear algebra, multivariable calculus, probability, statistics
You can kinda build whatever else you need over it
pretty sure you can do rep theory on the latent spaces of the data which are learned via an embedding model
but you dont seem like you want to study things that wont really be directly of use to you 
For research topics you can lean quite a lot on math
"Equivariant deep learning" is probably a thing
well I already know some ml, I wanna get much better at it though 😂
well. I don't wanna do unnecessary jargon 😭
topology yells useless for me
yet again, jargon isn't jargon for no reason, and I lean quite heavily personally on "learn the general theory then specialize it to examples"
but I know that doesn't work for everyone
Yeah...it's very much not useless if you're working on hilbert spaces, doing anything related to physics, etc....
that's interesting, cuz I kinda hate physics and general engineering outside of comp sci related
well
Wait so when they said you needed spectral theory
anyway I need dinner, bye all
anyways, what should I do after 8 chapters of baby rudin
Does that mean functional analysis spectral theory?
Or just spectral theorem and SVD and all?
also dami, separate qn, are you still a mod? or did you retire?
Hiatus
ahh okay
I suppose this
Okay in that case you don't need functional analysis
You learn this stuff in a first course in finite dimensional linear algebra
And corollary you don't need Rudin
is that normal linalg?
I'm almost there in FIS ahhh but lin alg feels so dry to me lol
Man I love LA
Spectral theorem is about normal operators
IDK why but I've found it so nice
I need to learn analysis, I say after not touching analysis AGAIN
binary operator theory and all that?
Personally, I've enjoyed analysis much more than lin alg.
ie, vector spaces
wrong operator
Linear algebra courses need to juggle points of view more that's the way to make it fun
or am I tripping
An operator (T) on a (finite dimensional) vector space (V) is an element (T \in \mathrm{End}(V)), which means that it's a (bijective) map (T \colon V \to V) and when we pick a basis, is represented by a square (n \times n) matrix of full rank/nonzero determinant where (n \coloneq \mathrm{dim}(V))
A normal operator is a linear operator T: V -> V (linear in the sense that T(au+v)=aT(u)+T(v)) iff T*T = TT*. Easier to understand would to be just consider T to be matrix. Then the matrix T* is just the transpose of T with all entries conjugated
Ryan + skye (TCC)
not this again.. 😭 the weirdness from that book I tried to pick up once coming back to me
Wdym weirdness
Did you jump right to the chapter on operators without reading everything else?
this is linalg ?
yes this is
Normally in linear algebra you learn a lot about matrices, but many times it's not too nice to pick a basis
Linear algebra is all about the study of linear spaces (i.e. vector spaces)
so we generalize our statements to operators and pick a basis when needed
not really, I tried doing some book on the maths for ML, and this came in the preqs for linalg
Read a plain old linear alg book first
don't just read a maths for ML type book without already knowing the maths
true
those books assume you know the basics and will jump ahead
haven't pushed forward in linalg tbh
I have the book, just haven't finished reading it
I mean, deisenroth does the core of linear alg in 40 pages, that might be a bit too fast
I love quick stuff 😭
see this book is literally intended to be A SUPPLEMENT for students in an ML course at uni who've already taken linear alg and calculus and just need a refresher
Try "Linear Algebra Done Wrong" if you want to understand things properly
unc on unc violence 💔
which website is this?
Mandatory warning: Do you actively read? I.e. critically think about why the ideas and theorems make sense, and do a generous number of exercises?
it's a book
I spend hours reflecting on a single page
Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press.
Is it good?, better or worse then Ray Kunze
Do you take notes and attempt exercises? With some books spending a day on a page may be normal, yes, but at this level it seems excessive
How do you find satisfactory intution for lin alg? Sometimes when a theorem/definition, say, of normal operators pops up, I don't immediately understand it. Naturally, I wait and see. But sometimes that intuition never seems to come.
Kunze is a good but relatively difficult book
