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4 points

·
19th Jul 2020

I'm a big fan of Sheldon Axler's Linear Algebra Done Right though it tends to be a might more towards the theory side than applications really. As a physics (assuming undergrad) I think you'll be doing more applied stuff.

If you can lookup the website/syllabus from a previous semester of the course to see what textbook they used or even the main topics the course focuses on, you can get a bit of a jump start on something more focused.

With all the uncertainty about opening and how classes are being run, an announcement of the text through official challenges might be delayed. Back in my day, you had to rely on what info had been sent to the Uni bookstore if you wanted to know the textbook before getting the syllabus on the first day of class. You might try emailing the professor. She might be able to tell you the textbook sooner and/or suggest some additional resources that might be helpful.

2 points

·
23rd Jun 2021

If anything NTU CS/CE courses would be, they are not math heavy. They are simply a regurgitation of math mechanics passed down by PYPs from years to years. That being said, try these resources out:

Math Videos:

-3blue1brown (Essence of Linear Algebra is solid series, u may check out his complex number video as well)

-Numberphile and maybe Computerphile(some nerd stuffs)

- Khan Academy (of course)

Some books:

- Linear Algebra Done Right (link)

- The matrix cookbook

Last but not least, even if you don't like math, don't screw up your year 1 math mods, as they are the foundation for almost every buzz modules u gotta learn in the future (if you plan to research too).

-CE Grad-

1 point

·
21st Mar 2018

Like 50 on amazon but could also try Abebooks and see if there's a cheaper used or international copy.

1 point

·
16th Aug 2022

I don't know about this book, it depends on the mathematical background you have.

Maybe Axler's linear algebra done right (https://www.amazon.com/Linear-Algebra-Right-Undergraduate-Mathematics/dp/3319110799/)

Maybe hoffman and kunze's linear algebra (https://www.amazon.com/Linear-Algebra-2nd-Kenneth-Hoffman/dp/0135367972/).

Maybe Spense and Isnel linear algebra (https://www.amazon.com/Linear-Algebra-4th-Stephen-Friedberg/dp/0130084514)

I believe these books would be considered advanced for someone in high school. I took a course on abstract linear algebra following them (mostly following Hoffman & Kunze though) without much formal math background, but I was finishing a CS degree back then.

I believe a hs student can go through hoffman and kunze, or through most of it. It'll be difficult because of how unusual the math may be presented (as compared to how it's usually done in hs). I really liked hoffman & kunze, but it's considered pretty dry.

To be fair, I don't know if these are good recommendations.

1 point

·
6th Jan 2017

Sorry, I went on vacation and totally blanked about posting these for you!

Anyway, here are some books

Linear Algebra Done Right (Undergraduate Texts in Mathematics) https://www.amazon.com/dp/3319110799/ref=cm_sw_r_cp_api_1L8Byb5M5W9D3

This one is actually for analysis but depending on your appetite, it might help greatly with the proof side of your class. You can buy it here: Counterexamples in Analysis (Dover Books on Mathematics) https://www.amazon.com/dp/0486428753/ref=cm_sw_r_cp_api_GS8BybQWYBFXX

But there's also a PDF hosted here: http://www.kryakin.org/am2/_Olmsted.pdf

1 point

·
9th May 2016

Working through Griffiths is a good idea, but I strongly suggest working through an abstract linear algebra book before you do anything else. It will make your life much better. Doing some of Griffiths in advance might make your homework a bit easier, but you'll be repeating material when you could be learning new things. And learning real linear algebra will benefit you in pretty much every class.

I recommend this book as your primary text and this one for extra problems and and a second opinion.

1 point

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25th Jan 2016

I like this book a lot: http://www.amazon.com/Linear-Algebra-Right-Undergraduate-Mathematics/dp/3319110799/

The professor who assigned it preferred Linear Algebra Done Wrong but he's a robot.

1 point

·
25th Jan 2016

I keep seeing this book recommended in a lot of places. How is it different from the one by Axler and one by Roman?

1 point

·
16th Dec 2015

I don't know much about AI, though I do know that (there's a theme, here) linear algebra gets a starring role. So, if you're currently enjoying linear algebra, continue with that. Axler is frequently recommended, if you want a textbook to go through.

After that it's really up to you what you want to go for next, since you have many paths available. Sipser is a great intro to theoretical CS, but, again, don't spend $200 on it. Try to find it in a library, or use something like this to find a much cheaper international edition.

Edit: Forgot to mention, CLRS is the standard for algorithms, but I'm not sure how useful it is as a primary source for learning. Maybe try to borrow a copy to see if you like it.

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