Algorithms in C++ 3rd Edition by Robert Sedgewick provides a comprehensive guide to understanding and implementing algorithms using the C++ programming language. This seminal work covers fundamental algorithms, data structures,...
"Classic Computer Science Problems in Python" by David Kopec provides a comprehensive overview of fundamental computer science concepts and their implementations in Python. The book covers a range of topics...
"Convex Optimization" by Stephen Boyd and Lieven Vandenberghe serves as a definitive guide to one of the most fundamental concepts in mathematics and engineering. In this groundbreaking first edition, Boyd...
"Deep Learning From Scratch" by Seth Weidman offers a comprehensive guide for understanding and implementing deep learning models from the ground up. The book is tailored for those who want...
"Functional Analysis in Modern Applied Mathematics" by Ruth F. Curtain and A. J. Pritchard provides a comprehensive exploration of the applications of functional analysis in various branches of applied mathematics,...
Matrix Analysis And Applied Linear Algebra By Carl D Meyer provides a comprehensive exploration of matrix theory and linear algebra, blending theoretical foundations with practical applications. The book is designed...
In "Numerical Methods With Python For The Sciences," author William Miles provides a comprehensive guide tailored for scientists and researchers seeking to harness the power of numerical methods using Python....
"Operations Research: An Introduction 10th Edition by Hamdy Taha (Author)" serves as an indispensable guide to the fundamental principles and applications of operations research (OR). Renowned for its clarity and...