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...
This book is a practical guide to understanding and implementing data structures and algorithms for students, programmers, and self-learners. Written in a concise and approachable manner, it breaks down complex...
Comprehensive and accessible, "Schaum's Outline of Combinatorics and Graph Theory" offers a thorough overview of essential concepts in combinatorics and graph theory. Authored by V. K. Balakrishnan, this 1st Edition...
1. Introduction to Graph Theory: Graph theory is a branch of mathematics concerned with the study of graphs, which are mathematical structures used to model pairwise relations between objects. 2....
Steven S. Skiena's "The Algorithm Design Manual" (3rd Edition) is a comprehensive resource for anyone studying, teaching, or working with algorithms. This book blends theory with practice, offering in-depth explanations...
The Ultimate Guide for NUST NET Computing by Dogar Brothers is a complete resource for students preparing for the NUST Entry Test (NET) in the Computer Science domain. This guide...
"Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy" by Cathy O'Neil explores the pervasive impact of algorithms and big data analytics on society, shedding light on...