Advances in Continuous and Discrete Models

The growing influence of digital computing in systems modelling and simulation is leading to an increase in the use of discrete mathematical structures for describing models. While it is generally recognized that discrete methods and classical continuous methods both provide valuable tools for modelling, strong biases exist which depend on the modelling techniques that are traditional within specific disciplines. This book presents a comprehensive, and up-to-date treatment of linear, nonlinear, and discrete/combinatorial network optimization problems, their applications, and their analytical and algorithmic methodology. 

Print ISBN: 9781682519158 | $165 | 2023 | Hardcover

Subject: Mathematics and Statistics

Editor: Rob Krueger

About the Editor: Rob Krueger is a senior researcher in the Department of Mathematics & Sciences. He has published many scientific papers in peer-reviewed journals and presented his research papers at national and international conferences, seminars, and workshops. His research interests include mathematical programming and network clustering applications in biological and social sciences. He is also fond of science, philosophy, and metaphysics.