(Part 2) Best elementary algebra books according to redditors

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We found 266 Reddit comments discussing the best elementary algebra books. We ranked the 96 resulting products by number of redditors who mentioned them. Here are the products ranked 21-40. You can also go back to the previous section.

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Top Reddit comments about Elementary Algebra:

u/VictorSensei · 12 pointsr/italy


Prima di investire dei soldi in libri che potrebbero risultare oscuri o dissuaderti dall'approfondire gli argomenti che trattano, ti consiglierei di

A) scaricarli da Library Genesis e almeno cominciare a leggerli; se ti piacciono e sono comprensibili, comprarli (concordo con il suggerimento del Rudin)

B) provare a partire da dispense scritte bene di professori universitari: per l'analisi, ti consiglierei qualsiasi cosa scritta dal Prof. Monti, UniPD o dal Prof. De Marco, UniPD, compresi i suoi libri; per algebra lineare, e i primi elementi di geometria, le dispense del Prof. Cailotto, UniPD; per algebra, il libro del Prof. Facchini, UniPD, "Algebra e matematica discreta" e il Jacobson, "Basic Algebra 2"

Queste sono le prime che mi vengono in mente, per costruire una base dignitosa. Poi in base a cosa stimola i tuoi interessi in un argomento o in un altro puoi decidere in che direzione approfondire maggiormente.

Edit: per probabilità e statistica, le dispense del [Prof. Dai Pra](
http://www.math.unipd.it/~daipra/didattica/ps09/), su consiglio ben accetto di u/emmetre

u/clarinetist001 · 12 pointsr/statistics

I have a B.S. in mathematics, statistics emphasis - and am currently in the second semester of Linear Models in a M.S. Statistics program.

Contrary to popular opinion, I don't think Linear Algebra Done Right is suitable for learning linear algebra. Statistics - as far as I've gathered - is more focused on what is called "numerical linear algebra," rather than the more algebraic (and more abstract) approach that Axler takes.

It took a lot of research on my part to find better books. I personally believe that these resources are much better for covering the linear algebra needed for linear models (I recommend these after a first-course treatment in linear algebra):

  • Linear Algebra Done Wrong, Treil (funny title, hm?). I would recommend focusing on all of Ch. 1, all of Ch. 2 (skip 2.8), Ch. 3.1 through 3.5, all of Ch. 4, Ch. 5.1 through 5.4 (5.4 is extremely important). The only disadvantage of this book is that it isn't specifically geared toward statistics.

  • Matrix Algebra by Gentle. Does not cover proofs, but it is a nice catalog of methods and ideas you should know for a stats program. Chapters 1 through 3 are essential material. Depending on the math prerequisites demanded, chapter 4 is nice to know. I would also recommend 5.8, 5.9, 6.7, 6.8, and 7.7. Chapters 8.2 - 8.5 are essential material, along with 9.1 - 9.2. This includes the linear model material as well that you will find in a M.S. program. All of the other stuff is optional or minimally covered in a stats program, as far as I know.

  • Matrix Algebra From a Statistican's Perspective by Harville. This does not cover any of the linear model material itself, but rather the matrix algebra behind it. It is the most complete book I have found so far on linear algebra for statistics. For the most part, you should know Chapters 1 through 14, 16-18, 20, and 21.

    I have also heard that Matrix Algebra Useful for Statistics by Searle is good, but I haven't read it yet.

    If you feel like your linear algebra is particularly strong (i.e., you're comfortable with vector spaces, matrix operations, eigenvalues), you could try diving right into linear models. My personal favorite is Plane Answers to Complex Questions by Christensen. I reviewed this book on Amazon:

    >It's a decent text. If you want to understand any part of this text, you need to have at least a first course in linear algebra covering matrices and vector spaces, some probability, and some "mathematical maturity."

    >READ THE APPENDICES before you read any part of this text. READ THE APPENDICES. Take good notes on them and learn the appendices well. Then proceed to Chapter 1.

    >Definitely one of the most readable books I've read, but it does take a long time to digest everything. If you don't have a teacher to take you through this material and you're completely new to it, you will find that some details are omitted, but these details aren't complicated enough that someone with an undergraduate degree in math wouldn't be able to figure them out.

    >Highly recommended. The only thing I don't like about this text is some of its notation. It uses Cov(A) to mean the variance-covariance matrix of a random vector A, and Cov(A, B) to mean E[(A-E[A])(B-E[B])^transpose ]. I prefer using Var(A) for the former case. Furthermore, it uses ' instead of T to denote the transpose of a matrix.

    No linear models text will cover all of the linear algebra used, however. If you get a linear models text, you should get your hands on one of the above linear algebra texts as well.

    If you need a first course's treatment in Linear Algebra, I prefer [
    Linear Algebra and Its Applications](http://www.amazon.com/Linear-Algebra-Its-Applications-Edition/dp/0201709708) by Lay. The 3rd edition will suffice, although I think it's in the 5th edition now. Larson's [Elementary Linear Algebra*](http://www.amazon.com/Elementary-Linear-Algebra-Ron-Larson/dp/1133110878/ref=sr_1_1?s=books&ie=UTF8&qid=1458047961&sr=1-1&keywords=larson+linear+algebra) is also a decent text; older editions are likely cheaper, but will likely give you a similar treatment as well, so you may want to look into these too. I learned from the 6th edition in my undergrad.
u/rcochrane · 12 pointsr/math

When I've got a clear aim in view for where I want to get to with a self-study project, I tend to work backwards.

Now, I don't know quantum mechanics, but here's how I might approach it if I decided I was going to learn (which, BTW, I'd love to get to one day):

First choose the book you'd like to read. For the sake of argument, say you've picked Griffiths, Introduction to Quantum Mechanics.

Now have a look at the preface / introduction and see if the author says what they assume of their readers. This often happens in university-level maths books. Griffiths says this:

> The reader must be familiar with the rudiments of linear algebra (as summarized in the Appendix), complex numbers, and calculus up to partial derivatives; some acquaintance with Fourier analysis and the Dirac delta function would help. Elementary classical mechanics is essential, of course, and a little electrodynamics would be useful in places.

So now you have a list of things you need to know. Assuming you don't know any of them, the next step would be to find out what are the standard "first course" textbooks on these subjects: examples might be Poole's Linear Algebra: A Modern Introduction and Stewart's Calculus: Early Transcendentals (though Griffiths tells us we don't need all of it, just "up to partial derivatives"). There are lots of books on classical mechanics; for self-study I would pick a modern textbook with lots of examples, pictures and exercises with solutions.

We also need something on "complex numbers", but Griffiths is a bit vague on what's required; if I didn't know what a complex number is than I'd be inclined to look at some basic material on them in the web rather than diving into a 500-page complex analysis book right away.

There's a lot to work on here, but it fits together into a "programme" that you can probably carry through in about 6 months with a bit of determination, maybe even less. Then take a run at Griffiths and see how tough it is; probably you'll get into difficulties and have to go away and read something else, but probably by this stage you'll be able to figure out what to read for yourself (or come back here and ask!).

With some projects you may have to do "another level" of background reading (e.g., you might need to read a precalculus book if the opening chapters of Stewart were incomprehensible). That's OK, just organise everything in dependency order and you should be fine.

I'll repeat my caveat: I don't know QM, and don't know whether Griffiths is a good book to use. This is just intended as an example of one way of working.

[EDIT: A trap for the unwary: authors don't always mention everything you need to know to read their book. For example, on p.2 Griffiths talks about the Schrodinger wave equation as a probability distribution. If you'd literally never seen continuous probability before, that's where you'd run aground even though he doesn't mention that in the preface.

But like I say, once you've taken care of the definite prerequisites you take a run at it, fall somewhere, pick yourself up and go away to fill in whatever caused a problem. Also, having more than one book on the subject is often valuable, because one author's explanation might be completely baffling to you whereas another puts it a different way that "clicks".]

u/StressOverStrain · 10 pointsr/Purdue

MA 265 - Linear Algebra

Do not under any circumstances buy the listed textbook for this class, Elementary Linear Algebra. Seriously, read the Amazon reviews; they're all true. I think I wrote 1000 words in my course review telling them how awful this book was and to find a new one. Of course, that didn't do anything. I read almost every textbook presented to me cover to cover, so I know a bad textbook when I see one. I really tried to read this one, but it is just so godawful confusing. It's written like a math professor forgot he was writing a book for undergrads and not just proving theorems for his fellow mathematicians. Has exactly zero appreciation for teaching, and instead just lays proofs one after another with little explanation in between.

> If you are reading through this textbook and you have no idea what is going on, it is not you, it's this book.

It's also looseleaf, which sucks to begin with. Save yourself a semester of grief and just pay attention in lecture or buy literally any other linear textbook you can find.

u/anon35202 · 7 pointsr/3Blue1Brown

I can give you a counter-example. What book NOT to buy:

https://www.amazon.com/Elementary-Linear-Algebra-Ron-Larson/dp/1133110878

The introductory quote from the first linear algebra video from 3Blue1Brown is:

"There is hardly any theory which is more elementary than linear algebra, in spite of the fact that generations of professors and textbook writers have obscured its simplicity by preposterous calculations with matrices."

  • John Dieudonne

    The textual abuse and systematic obfuscation of such simple concepts as linear algebra is perfectly captured in that textbook.


    Browsing around I found this:

    https://math.stackexchange.com/questions/160056/what-is-a-good-book-to-study-linear-algebra

    and then this:

    http://math.mit.edu/~gs/linearalgebra/

    Which looks better. The problem with Linear Algebra is that it's taught by people with their heads stuck in the clouds in their crystal fortresses where they already know the problems, know the questions, know the procedures, and they've completely forgotten what it means to not know anything about linear algebra. So teaching it is reduced to repetitive procedure, endless transforming of matrices that might as well be these intricate recipes that turn unsatisfying mysterious symbols into other unsatisfying mysterious symbols.

    It's a subject ripe for disruption, ready for a completely different approach where we go back to first principles where we go back to the reasons for why the people who created linear algebra did what they did, and then follow their footsteps. It's just math around lines. It's easy to get lost in the steps of the recipe that you don't see the point. That in this 3d realm there are imaginary things called lines, and we can perform mathematical operations on those lines in order to do things like for example figure out how to calculate distance between lens and object in view when all we know is distance between fovea and lens, and the angle and distance between edges on rods/cones.

    The point of linear algebra is to reduce the miracle of complex things like rays of light, and how our eyes achieve vision into equations that can be processed by a computer so we can teach a computer to see like humans do. Light is just lines.
u/ParisGypsie · 4 pointsr/askscience

I asked my professor what the point of linear algebra is and he said to solve linear systems. If a system has three or more variables, I'm not going to solve it by hand, I'm going to throw it in Wolfram Alpha or Mathematica or whatever math computation engine I have. Learning how to solve them with matrices seems like a proof of concept more than being practical at all. I'm sure eigenvalues have lots of properties that are very useful that I haven't learned about yet. Learning how to compute those was another proof of concept.

But the rest was just math for the sake of math. Which I'm fine with, math is cool. It's just, it felt so mechanical, like I was following a list of steps to get an answer, and if I strayed from those steps or a problem asked for something that I didn't have a list of steps for, I was lost. Calculus was great; I loved calculus. Everything fit together; elegant proofs. Everything built on stuff before. Linear just feels like stumbling in the darkness.

Maybe it's just the textbook our school uses. Those Amazon reviews are spot on. To quote one:

> It might be possible that the author is a good mathematician, but he is definitely a terrible teacher.

Maybe it's just tainted linear algebra for someone who's always loved math.

u/TimGB · 4 pointsr/math

Here's a slightly cheaper calculus book that is also very good. (It was the one my uni used for Multivariate Calculus and Vector Calculus)

u/SBCrystal · 3 pointsr/learnmath

I've also been looking for these. Unfortunately I haven't really bought any from amazon because I don't know what they're ultimately like inside.

This one looked okay:

https://www.amazon.de/dp/1453661387/?coliid=I9J1QJTS7M0C2&colid=1CVJE7YRHYFOT&psc=0&ref_=lv_ov_lig_dp_it

But for me, I'm looking for a textbook/workbook combo, so that I can be retaught how to do all this bullshit. :)

u/zifyoip · 3 pointsr/math

Challenging Problems in Algebra by Alfred S. Posamentier and Charles T. Salkind is a collection of a lot of challenge problems that require only high school algebra.

u/mobcat40 · 3 pointsr/AskScienceDiscussion

Here's mine

To understand life, I'd highly recommend this textbook that we used at university http://www.amazon.com/Campbell-Biology-Edition-Jane-Reece/dp/0321558235/ That covers cell biology and basic biology, you'll understand how the cells in your body work, how nutrition works, how medicine works, how viruses work, where biotech is today, and every page will confront you with what we "don't yet" understand too with neat little excerpts of current science every chapter. It'll give you the foundation to start seeing how life is nothing special and just machinery (maybe you should do some basic chemistry/biology stuff on KhanAcademy first though to fully appreciate what you'll read).

For math I'd recommend doing KhanAcademy aswell https://www.khanacademy.org/ and maybe a good Algebra workbook like http://www.amazon.com/The-Humongous-Book-Algebra-Problems/dp/1592577229/ and after you're comfortable with Algebra/Trig then go for calc, I like this book http://www.amazon.com/Calculus-Ron-Larson/dp/0547167024/ Don't forget the 2 workbooks so you can dig yourself out when you get stuck http://www.amazon.com/Student-Solutions-Chapters-Edwards-Calculus/dp/0547213093/ http://www.amazon.com/Student-Solutions-Chapters-Edwards-Calculus/dp/0547213107/ That covers calc1 calc2 and calc3.

Once you're getting into calc Physics is a must of course, Math can describe an infinite amount of universes but when you use it to describe our universe now you have Physics, http://www.amazon.com/University-Physics-Modern-12th/dp/0321501217/ has workbooks too that you'll definitely need since you're learning on your own.

At this point you'll have your answers and a foundation to go into advanced topics in all technical fields, this is why every university student who does a technical degree must take courses in all those 3 disciplines.

If anything at least read that biology textbook, you really won't ever have a true appreciation for the living world and you can't believe how often you'll start noticing people around you spouting terrible science. If you could actually get through all the work I mentioned above, college would be a breeze for you.

u/david_wxy · 2 pointsr/math

What text are you using?

Edit: Most calc II or multivariable textbooks that I've encountered (e.g.: this one, this one, this one, or this one) are full of examples, problems, and sections dealing with physical applications, if that's what you mean by outside the classroom.

From what I recollect, Calc II was mostly about developing facility with integration techniques, with some extensions of the concept of integration to boot. Although some of the material may seem to be of little relevance, think of it as an important stepping stone. It is preparing you for some super interesting subjects (like line integrals on vector fields!) that are used to model physical systems.

u/Prime_Idealist · 2 pointsr/math

I'm not sure if you are looking for recommendations regarding more pop-math reading or actual textbooks, so I will try and recommend both.

  • Love and Math by E. Frenkel is a great high-level view of mathematics with a very interesting autobiography woven in.

  • If you don't have a background in proof-writing, I recommend acquainting yourself with proof writing techniques. A Transition To Advanced Mathematics is the book my university uses for Intro to Proofs. Another book that pops up often is How to Solve It, though I can't personally comment since I haven't used it.

  • If you are interested in computer science, start learning about basic algorithms or graph theory. The YT lectures on graph theory are fantastic and easy to follow (or so I think); I used to use them as a supplement to my graph theory course.

    That's probably a really wide variety of resources, so my recommendation is to pick one and see how you like the material! I'm sure if you are really ambitious, you can try working through a topic with guidance from one of your teachers and maybe even work on some sort of project with them.

    It's also worth joining - or starting - a math club at your school. And if you are still looking for other activities, look into local math competitions that you can participate in.
u/kryptovox · 2 pointsr/AskPhysics

I saw this in the /r/physics thread and it appears that /u/Techercizer already gave you some sage advice. I'd like to add a point about your math, however...

>Algebraically, we could bring the speed of light to the opposite end of the equation... Square root of 186,282 miles per second is equal to something?

Where are you getting √c from? Drawing the m term away from c^2 and taking the square root of the other side leaves you with √(E/m) = c. By all means take more roots to your heart's content, but remember the first rule of solving equations: Whatever you do to one side of the equation you must do to the other. Come back when you understand the physical implications of taking √(√(E/m).

If I only possess vague, abstract conceptions of engineering concepts, can I really aid in the design of a suspension bridge? Can I do it without understanding calculus? I agree with Techercizer that your enthusiasm and curiosity are commendable, but when I hear you say things such as

>I don't feel that they are ignorant ramblings, rather concise logical statements

... from the other thread, you come off as not only ignorant, but arrogant as well.

Also, some reading! Check out this, this, and this. Enthusiasm and curiosity such as yours is rare, and deserves to be cultivated.

u/PsychoRecycled · 2 pointsr/mathbooks

Whatever book you purchase, make sure that you also purchase a book of problems for you to solve to go along with it. For the book you have asked about, this book is the companion.

http://www.amazon.ca/Basic-Math-Pre-Algebra-Workbook-Dummies/dp/1118828046/ref=pd_bxgy_b_text_y

The best way to become good at math is to solve a lot of problems.

I would recommend Khan Academy. They have videos for all levels of math, and a lot of problems to go with them.

More information on what you want to learn, and about you, would be good. What level of education do you have? Are you a student right now? What is your first/best language? What kind of science do you want to do? A strong understanding of mathematics is very important for some parts of science, like physics, but less important for others, like biology.

u/Smarge18 · 2 pointsr/Clemson

I've done a bit of reading and others have suggested that the required textbook and Mylab (which by now you know you have to have for homework) isn't a very thorough text and you may do well to buy access to another textbook by Larson. I've encouraged my son to rent this book on Amazon. for $17 - they say it has more/better sample problems. (BTW< my son is taking Math 2060 which I understand is also called Calc 3, but they have the same required/recommended books.) https://www.amazon.com/Calculus-Transcendental-Functions-Ron-Larson/dp/1285774779/ref=sr_1_6?keywords=calculus+larson&qid=1566500989&s=books&sr=1-6

u/Ozymandius383 · 2 pointsr/mathematics

I've got a few recommendations:
A First Course in Abstract Algebra. The importance of this subject in mathematics cannot be overstated, even if it seems very counterintuitive. Most number theory problems are solved through advanced algebra. This book examines most aspects of groups, rings, and fields, and many major applications of them. Anyone can read the first chapter, but you're going to have a very bad time if you don't get each chapter DOWN before the next one. This subject matter took me two of the hardest classes ever to get through, so don't be discouraged.

Like I said elsewhere, Rudin's Principles of Mathematical Analysis. Starting from basic set theory, it provides a thorough construction of the concept of real numbers, followed by sequences, series, single-variable calculus, multi-variable calculus, touches on standard and partial differential eqs, and VERY basic functional analysis. Again, a short but extremely dense book, anyone can do it, but not easily. Don't take shortcuts, and it will massively expand your mathematical literacy.

Neither of these requires much set theory, but if you're having problems there is this book. It is what it looks like, but the first few chapters are logic so you can probably skip them. It's an easy read and it seems to me that set theory is very similar in operation to logic.

u/lurking_quietly · 2 pointsr/mathbooks

There's no single book that's right for everyone: a suitable book will depend upon (1) your current background, (2) the material you want to study, (3) the level at which you want to study it (e.g., undergraduate- versus graduate-level), and (4) the "flavor" of book you prefer, so to speak. (E.g., do you want lots of worked-out examples? Plenty of exercises? Something which will be useful as a reference book later on?)

That said, here's a preliminary list of titles, many of which inevitably get recommended for requests like yours:

  1. Undergraduate Algebra by Serge Lang

  2. Topics in Algebra, 2nd edition, by I. N. Herstein

  3. Algebra, 2nd edition, by Michael Artin

  4. Algebra: Chapter 0 by Paolo Aluffi

  5. Abstract Algebra, 3rd edition, by David S. Dummit and Richard M. Foote

  6. Basic Algebra I and its sequel Basic Algebra II, both by Nathan Jacobson

  7. Algebra by Thomas Hungerford

  8. Algebra by Serge Lang

    Good luck finding something useful!
u/mista_fresh · 2 pointsr/Physics

You can start by taking some calculus classes or you can go ahead and teach yourself, this is the book i used in college, grasp single variable then move onto mutli-variable, a solid grip of math will definitely help you teach physics. Good luck!!

u/binfguy2 · 1 pointr/bioinformatics

This book
"Foundations for higher mathematics, Peter Fletcher"
http://www.amazon.com/Foundations-Higher-Mathematics-Peter-Fletcher/dp/053495166X

It is short and very much a crash course with higher level mathematics. Each chapter took me quite a while to work through and understand, but if you complete the book you will indeed have a very good mathematical basis.

EDIT- I just remembered my major qualm with the book, its about 100 pages and 300$.

u/zed_zed_top · 1 pointr/dcs_uoft

CSC148 - no textbooks, readings provided.

CSC165 - same as 148

MAT137 - Calculus, one variable. this one, I think.

MAT223 - Elementary LA with Applications

the rest were electives for me.

u/The_Bigg_D · 1 pointr/assholedesign

I found a hardcover version on amazon for $178.

Do your best to be smarter next time OP.


source: https://www.amazon.com/gp/aw/d/1337275344/ref=dp_ob_neva_mobile

OP is either too dumb to look for any other option, or lied about this post.

u/mayor_of_awesometown · 1 pointr/AdviceAnimals

> Because acquiring advanced degrees and topic understanding and using it to write textbooks is a get-rich-quick scheme. Or maybe, just possibly, a few professors etc. do it because they like teaching? Because they like to see their work brought to the next level by the next generation?

I absolutely agree that that is why the vast, vast majority of professors do it. I didn't mean to imply that it's a get-rich-quick scheme. My point is that they should be treated just like any other author who endeavors to write a scholarly book, whether used in a college curriculum or not.

> As you might say, it sounds like these students ought to find a new place of higher education.

The "buy the latest edition of the book or else, because there's some new pictures and new homework problems in it, but no new content" system works the same at any college or university in America. If you can find one where it doesn't, I'd be glad to hear about it.

As I said in another post, I have no objection to a professor or anybody else endeavoring to author a scholarly textbook and be adequately compensated for it. That's a very good thing. My gripe is with repackaging the same content as "new" every 2-3 years to make extra cash and burden students with more debt.

For instance, there's things like this: Understanding Nutrition: 12th Edition. Retails for $178 at Barnes & Noble, or $150+ at Amazon. Now take a look at the 8th, 9th, 10th, and 11th editions. They can be had for as low as $0.01, and, according to the Amazon comments, editions 8-11 are identical except for some more modern-looking graphs and the order of some sections slightly rearranged. Version 12 has one revamped chapter, the first substantial change in four editions. Yet, if you go to any university in America, they will require you buy the latest and greatest edition.

Perhaps a better example: here's the calculus book I used as an undergrad in 1999. Fourth edition, can be had for $2.13. Twelve years later, they've since released three more editions, and now the latest one cannot be purchased for less than $164. Has basic calculus methodology really changed so much in the past 12-13 years to necessitate three new versions just to keep up with all those immense changes, costing the incoming student an extra $162 for this one single book? Maybe. But probably, they know students take calculus year after year, so why not change the homework problems every edition, add a new intro, and voila! Extra cash!

I'm not condoning ripping off someone's hard work. My point is, the business model that the textbook industry has set up is unethical.

To take your Dark Knight analogy, if I want to study The Dark Knight, I believe I should be able to buy a used copy of the single-disc widescreen DVD version for $1.04 and pass my Dark Knight class. But my university is making me buy the special edition 5-disc Blu-ray set for $150 because there's some extra on there that has nothing to do with my comprehension of the movie, yet there will be test questions on it, so I have to shell out. It makes no sense.

u/krypton86 · 1 pointr/IWantToLearn

This is the book I used at university. I thought it was pretty good. Velleman's book is also popular. I've heard good things about this book, but I've not read it.

u/nm420 · 1 pointr/learnmath

A course I took before getting into any math beyond calculus used the book A Transition to Higher Mathematics. I found the book, and the course, to be quite a good preparation for the higher level courses.

u/mindbleach · 1 pointr/reddit.com

How hard would it be to keep up a wiki for all the questions from every textbook in terms of beating takedown notices?

The books are usually interchangable between versions - especially when the fucking bastard publishers update annually - and if your professor's good you might not need the main body of the text at all. I've blown at least $500 over the course of four years just to be able to do my homework, and if outright piracy is what it takes to kick some sense into publisher's heads, so be it.

u/quantumchicklets · 1 pointr/learnmath

then i have my value for A (which I understand to be my transformed basis) as

A={(-sqrt(2)/2, sqrt(2)/2), (-sqrt(2)/2,-sqrt(2)/2)}

= -sqrt(2)/2 -sqrt(2)/2
sqrt(2)/2 -sqrt(2)/2

Did I reason through this correctly? I love this book but sections 6.1, 6.2, and 6.3 (the section related to this question) just do not connect the dots for me. Other than that it's been very easy to follow.

u/jamsm · 1 pointr/chemistry

I don't know of any specific book for chemistry/physics students since we all had to take the same math classes. I used Larson for my intro to linear algebra course and found it quite useful. An older edition can run you under $10, check out places like Half.com.

Hopefully someone else will know of a book that fits your exact criteria.

u/MyOverflow · 1 pointr/math

You could try "Precalculus" by Stitz & Zeager. Chapters 10 and onwards is their Trigonometry book. This should be a very smooth book to work through.

Have you already picked out a Calculus textbook? Also, what are her plans as an MIT student? If she's going into engineering and the like, I would say Larson's "Calculus" (solutions manuals vol 1, 2) would be good enough.

If she plans on being a math student, though, I would say give her a a few months with Velleman's "How To Prove It". Afterwards, I can't recommend Spivak's Calculus (Answer Book) and Jim Hefferon's Linear Algebra (solutions manual on same page) enough. This is a good time to introduce mathematical rigor as a normal thing in mathematics because, really, this is what math is about.

u/SentinelDistrict · 1 pointr/calculus

I vouch for Patrick JMT on youtube as well, although its more or less just a review of a small portion of what will be required calculus is all about practicing problems first hand, the textbook I currently use is full of them.
http://www.amazon.com/Calculus-Transcendentals-Soo-T-Tan/dp/0534465544

u/urmomsballs · 1 pointr/calculus

If you can find a copy somewhere cheap.

http://www.amazon.com/Calculus-Transcendentals-Available-Titles-CourseMate/dp/0534465544

Also, check out your library to see what other calculus books they might have.

u/devcodex · 1 pointr/calculus

Check around for a used copy, I picked up a used copy of Stewart 7th edition at the beginning of this semester off amazon for ~30 bucks.

Edit: try the used version here

http://www.amazon.com/Single-Variable-Calculus-Early-Transcendentals/dp/0538498676/ref=sr_1_2

u/drmyuu · 1 pointr/learnmath

is this the single variable one you're referring to?

u/lewisje · 1 pointr/learnmath

The other part is called "Multivariable Calculus", although most of that material won't be covered until Calculus III: https://www.amazon.com/Multivariable-Calculus-7th-James-Stewart/dp/0538497874

u/chooseausername23456 · 1 pointr/learnprogramming

If you're willing to devote the time to a textbook, I think that's a great start.

Also, Coursera has a class beginning April 3rd: https://www.coursera.org/learn/logic-introduction
I believe these are free.

After that, I would try: https://www.coursera.org/learn/algorithms-part1

Here is a textbook that is actually for Foundations of Mathematics, but it really helped me to learn about logic: https://www.amazon.com/gp/product/053495166X/ref=oh_aui_search_detailpage?ie=UTF8&psc=1
As I'm sure you know, computer science and math are closely intertwined.

When I first started college, I had never taken a programming course or anything even remotely close. So my first programming class was over C. Admittedly, I didn't learn much in that class. But the second class was Object-Oriented Paradigm, essentially Java. This was the book we used: https://www.amazon.com/Java-Software-Solutions-Foundations-Program/dp/0132149184/ref=mt_paperback?_encoding=UTF8&me=

I learned a lot from that book, and it was relatively easy. So I would recommend starting with that.

u/Rsubs33 · 0 pointsr/phillies

> The Phillies don’t pay nearly that even if you gave Machado and Harper 10 year 350 million dollar contracts

Actually it is what you said, you are implying the Phillies don't pay near the 150 mil even adding 70 mil to their pay roll, (FYI it isn't 60, its 70 350 mil for 10 years is 35 mil a year times 2 is 70, again take a basic math course) now if you add that 70 to the 125 mil you are already paying your 40 man roster (not including minor league players) this = 195 mil. Seriously you don't know basic fucking math, so i don't know how much longer I can continue the conversation. Order this and give it a read and we can try to resume this conversation in like 10 days or say its prime, so I figure that gives you a week to read it over or at least get through the addition, substations, multiplication and division sections.

u/VarkosTavostka · 0 pointsr/learnmath

Got it. I asked that because "algebra" is misleading. Ex: See the one star review on this: https://www.amazon.com/dp/048647187X/ref=cm_sw_r_cp_awdb_t1_3e6-AbDR8KW1P

u/[deleted] · 0 pointsr/offmychest

Basic algebra is pretty easy to learn when you sit down to do it. Just because you aren't good at it now doesn't mean you can't get good at it. I would check amazon for a basic high school algebra text book and go from there. This one is for middle grades and is less than $10 (US). This one has a lot of worked out examples. This one is free for an android device.

Good luck to you. Hit me up if you have a question! I'm not a math professor, but I am a chemistry professor and I minored in math, so I may be able to help.