The revised Third Edition of An Introduction to Computer Simulation Methodsuses Java to teach physical concepts using computer simulations. The text incorporates object-oriented programming techniques
A reference text presenting a comprehensive introduction to the field of expert/knowledge based systems considers both the system shell and programming environment approaches to expert system developm
Introduction to Geographic Information Systems, 7th edition is designed to provide students in a first or second GIS course with a solid foundation in both GIS concepts and the use of GIS. Introductio
Textbook for students and nuclear engineers, offering a comprehenisve and fully update overview of all aspects of nuclear science and technology. Reports important trends in nuclear science and featur
Richard Day was one of the first economists to recognize the importance of complex dynamics, or chaos theory, in economics and to systematically explore whether a mathematical existence of such behavi
This textbook is the first to focus on teaching readers how to formulate and solve forward and inverse problems related to coupled media, and provides examples of how to solve concrete problems in env
One of the first books dedicated as a concise introduction to the interdisciplinary topic for non-electrical students and engineersThe fundamentals of electrical systems are presented to the reader in
In order to fully understand the evolution and future growth of economic systems, we must draw on the lessons of economic history. The 2008 Financial Crisis, for example, mirrored past economic meltdo
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible i
This book is intended primarily as a textbook for students studying structural engineering. It covers three main areas in the analysis and design of structural systems subjected to seismic loading: ba
The goal of machine learning is to program computers to use example data or pastexperience to solve a given problem. Many successful applications of machine learning exist already,including systems th
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems
