‘wxMaxima for Calculus I’ and ‘wxMaxima for Calculus II’ introduce the free open-source computer algebra system wxMaxima in the context of single variable calculus. Each book can serve as a lab manual for a one-unit semester calculus lab, a source of supplemental CAS exercises or a tutorial reference for students and instructors who prefer learn computer algebra by example.
These lecture notes were translated from the Finnish lecture notes for the TUT course ‘Matemaattinen kryptologia’. The laborious bulk translation was taken care of by the students Jussi Kangas (visiting from the University of Tampere) and Paul Coughlan (visiting from the University of Dublin, Trinity College).
This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers who are interested in the heuristic solution of discrete optimization problems.
The main features of this book is the strong emphasis on algorithms. The book contains more than 700 exercises and a number of applications as well as sections on highly applicable subjects.
Think Stats is an introduction to Probability and Statistics for Python programmers. It emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health.
Algorithms, 4th Edition surveys the most important algorithms and data structures in use today. We motivate each algorithm that we address by examining its impact on applications to science, engineering, and industry.
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.
This book will be useful for those in the scientific community who gather data and seek tools for analyzing and interpreting data. It will be a valuable reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis as well as a supplemental text in courses on research methodology, pattern recognition, image processing, and re-mote sensing.
This ebook fills a useful need in explaining a new view of signal processing based on flexible time frequency analysis and its applications. It has been well received and used by researchers and engineers alike. In addition, it was also used as a textbook for graduate courses at several leading universities.