Materials - Math, CS, Websites, and more

Recommended Materials

These are some resources that I think would serve as good learning materials.

Books

C++ Templates: The Complete Guide

by David Vandevoorde and Nicolai M. Josuttis

C++ is huge, and Templates is one of the crucial parts of it. Subjects covered: function and class templates, variadic templates, and much more.

You can buy this on: Amazon

C++ Concurrency in Action

by Anthony Williams

There isn't much text-book resources out there relating to C++ multithreading. I'm currently reading this one, and I think it's pretty solid.

You can buy this on: Amazon, Manning

A Complete Guide to Programming in C++

by Ulla Kirch-Prinz and Peter Prinz

A good book for students to learn C++. This cover the language from the ground up, from basics to advanced.

You can buy this on: Amazon

Digital Image Processing

by Rafael Gonzalez and Richard Woods

A good introduction to theoretical computer vision. I like the detail description of point, line, edge detection and the SIFT algorithm of this book.

You can buy this on: Amazon

Data Structures and Algorithms in C++

by Michael T. Goodrich, Roberto Tamassia, and David M. Mount

A classic for C++ DSA. The book cover standard stuff like arrays, vectors, linked lists, queues, stacks, priority queue, some trees, and graphs. There's also a paid Zybook version you can get for 60 bucks.

You can buy this on: Amazon, Wiley

Introduction to Applied Partial Differential Equations

by John M. Davis

The first book I used to learn PDEs. Very good treatment of eigenvalue and boundary-value problems.

You can buy this on: Amazon, Abebooks

Applied Partial Differential Equations with Fourier Series and Boundary Value Problems

by Richard Haberman

A more detailed treatment of PDEs for the undergraduate level, covering higher-dimensional PDE's, nonhomogeneous problems, green functions, and method of finite difference.

You can buy this on: Amazon

Introduction to Electrodynamics

by David J. Griffiths

If you truly want to learn Electrodynamics, this book is the one, written by none other than David J. Griffiths himself. Problems are very hard, but interesting.

You can buy this on: Amazon, Ebay, Abebooks

What Every Programmer Should Know About Memory: link

Ray Tracing in One Weekend: link

Sunil Golwala's lecture note on classical mechanics - Caltech: link

Riccardo Cristoferi's calculus of variations: link

Gabriel Nagy's Ordinary Differential Equations - University of Michigan: link

Websites

beltoforion: beltoforion.de. One of my inspirations. Developed by Ingo Berg, the website focuses on a wide range of topics, ranging from programming, earth and space science, mathematics, and physics.

Ten Minute Physics: link. Cool, complex physics simulation using only HTML and Javascript. This is a website created to accompany the youtube channel Ten Minute Physics.

scipython: scipython.com. Created by the author of Learning Scientific Programming with Python, Christian Hill. Resources for learning Python simulation and scientific programming.

Romanian Mathematical Magazine: ssmrmh.ro. Very cool math problems.

learncpp: learncpp.com. A good website for learning C++ from start to end.