Jamshid Ghaboussi Knihy

Exploring the intersection of natural problem-solving strategies with technology, this book delves into how neural networks and genetic algorithms can effectively tackle complex inverse problems. It highlights their application in fields like computational mechanics, earthquake engineering, structural control, and engineering design, showcasing their ability to reduce disorder in innovative ways that contrast with traditional mathematical approaches.

This book explores the numerical algorithms underpinning modern finite element based computational mechanics software. It covers all the major numerical methods that are used in computational mechanics. It reviews the basic concepts in linear algebra and advanced matrix theory, before covering solution of systems of equations, symmetric eigenvalue solution methods, and direct integration of discrete dynamic equations of motion, illustrated with numerical examples. This book suits a graduate course in mechanics based disciplines, and will help software developers in computational mechanics. Increased understanding of the underlying numerical methods will also help practicing engineers to use the computational mechanics software more effectively.