This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject, and advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python.

Operations Research: A Practical Introduction offers a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management. It provides readers with an introduction to standard mathematical models and algorithms.  

The 2nd Edition of this textbook is a major revision written within the context of communication theory and the theory of signals and noise. The book bridges the gap between communication theory, signals and noise and radar system analysis. It also includes new exercises and comprehensive mathematical derivations.

Quadratic programming is a mathematical technique that allows for the optimization of a quadratic function in several variables. QP is a subset of Operations Research and is the next higher lever of sophistication than Linear Programming. It is a key mathematical tool in Portfolio Optimization and structural plasticity. This is useful in Civil E

This book develops an understanding of sophisticated tools by using them. Complex variable theory is developed. The first three chapters and selected topics make a nice course. This course should appeal to faculty who want an integrated treatment of linear algebra and complex analysis, including applications and also reviewing vector analysis. S

Delay Ordinary and Partial Differential Equations is intended for a broad audience of scientists, university professors, and graduate and postgraduate students specializing in applied and computational mathematics, mathematical physics, mechanics, control theory, biology, medicine, chemical technology, ecology, and economics.