By Youssef Raffoul
October 26, 2023
After many years of teaching graduate courses, he saw a need among his students for a book reviewing topics from undergraduate courses. To help them recall what they had learned, students have long urged the author to publish a brief and approachable book on the topic of applied mathematics. The ...
By Hugo D Junghenn
August 21, 2023
This book, for a first undergraduate course in Discrete Mathematics, systematically exploits the relationship between discrete mathematics and computer programming. Unlike most discrete mathematics texts focusing on one of the other, the book explores the rich and important connection between these...
By Manfred Stoll
July 03, 2023
This classic textbook has been used successfully by instructors and students for nearly three decades. This timely new edition offers minimal yet notable changes while retaining all the elements, presentation, and accessible exposition of previous editions. A list of updates is found in the Preface...
By Crista Arangala
May 09, 2023
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is meant to be used for a second course in applications of Linear ...
By Robert E. White
April 21, 2023
Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have ...
By Mark Hunacek
March 24, 2023
Introduction to Number Theory covers the essential content of an introductory number theory course including divisibility and prime factorization, congruences, and quadratic reciprocity. The instructor may also choose from a collection of additional topics. Aligning with the trend toward smaller, ...
By Vladislav Bukshtynov
February 17, 2023
This textbook offers a guided tutorial that reviews the theoretical fundamentals while going through the practical examples used for constructing the computational frame, applied to various real-life models. Computational Optimization: Success in Practice will lead the readers through the entire ...
By Daniel W. Cunningham
January 09, 2023
Typically, undergraduates see real analysis as one of the most difficult courses that a mathematics major is required to take. The main reason for this perception is twofold: Students must comprehend new abstract concepts and learn to deal with these concepts on a level of rigor and proof not ...
By William P. Fox, Rodney X. Sturdivant
December 29, 2022
Probability and statistics courses are more popular than ever. Regardless of your major or your profession, you will most likely use concepts from probability and statistics often in your career. The primary goal behind this book is offering the flexibility for instructors to build most ...
By Giuseppe Campolieti, Roman N. Makarov
December 21, 2022
The book has been tested and refined through years of classroom teaching experience. With an abundance of examples, problems, and fully worked out solutions, the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. This textbook ...
By Hongwei Chen
December 16, 2022
A conceptually clear induction to fundamental analysis theorems, a tutorial for creative approaches for solving problems, a collection of modern challenging problems, a pathway to undergraduate research—all these desires gave life to the pages here. This book exposes students to stimulating and ...
By Vladimir Lepetic
December 16, 2022
Every physicist, engineer, and certainly a mathematician, would undoubtedly agree that vector algebra is a part of basic mathematical instruments packed in their toolbox. Classical Vector Algebra should be viewed as a prerequisite, an introduction, for other mathematical courses dealing with ...