What is Reddit's opinion of Optimization Models?

From 3.5 billion Reddit comments

Possibly interesting: https://www.amazon.com/Optimization-Models-Giuseppe-C-Calafiore/dp/1107050871/

Peter Lax's Linear Algebra and Its Applications (https://www.amazon.com/Linear-Algebra-Its-Applications-Peter/dp/0471751561/) has applications, but still it's quite theoretical (as far as linear algebra texts go, this book is very difficult).

Stephen Boyd's book on introductory linear algebra looks quite nice as well (http://vmls-book.stanford.edu/ -- it's free in here). He also has a book on Convex Optimization with tons of applications (this is a somewhat more advanced book). There is also his linear dynamical systems materials (https://www.youtube.com/playlist?list=PL06960BA52D0DB32B ; course page http://ee263.stanford.edu/archive/ [has a pdf with all lecture slides, exercises, etc]).

There are many topics you could go on. If you're talking about applied mathematics in the sense of its use in physics, then looking at an Analytical Mechanics or maybe a Dynamical Systems book wouldn't be a bad idea (be warned that these can be, and usually are [I've never seen an exception to this] very advanced. subjects). Simply studying mechanics and electromagnetism from a not so introductory level (something like next level after Halliday's) can be very interesting in showing you how mathematics can be applied. An introduction to this kind of application can be found in many introductory ODE books (my favorite is this one by George Simmons https://www.amazon.com/Differential-Equations-Applications-Historical-Mathematics/dp/1498702597/ -- but this one is also nice https://www.amazon.com/Ordinary-Differential-Equations-Dover-Mathematics/dp/0486649407/)

Another possibility is to look for Mathematical Statistics, maybe some probability theory book with applications. Those can be interesting. There are connections here with various computational methods, linear algebra, optimization and physics (thermodynamics and statistical physics is what I have in mind).

Of course, it goes without saying, numerical methods. I've never studied the subject, but I've heard good things about this book: https://www.amazon.com/Numerical-Linear-Algebra-Lloyd-Trefethen/dp/0898713617/.

Btw, many of these things can get quite advanced. I don't know about your level of knowledge. If you're just starting college and never studied any of these things before, then it's possibly better to go with the traditional introductory calculus, linear algebra, ODE, physics, and statistics materials. Good news here is that there are some interesting books in here as well, like Boyd's introductory linear algebra text, Simmon's ODE text and this mathematical statistics text (https://www.amazon.com/Mathematical-Statistics-Applications-Dennis-Wackerly/dp/0495110817/).