Bøker av Jamshid Ghaboussi

Neural networks and genetic algorithms draw on the problem-solving strategies of the natural world which differ fundamentally from the mathematically-based computing methods normally used in engineering, and can solve difficult inverse problems based on reduction in disorder -- such as in computational mechanics, earthquake engineering, structur

This book presents the fundamentals of nonlinear mechanics within a modern computational approach, building on both linear elasticity and the finite element method. It serves as a text book for a second year graduate course and as a reference for practitioners using nonlinear analysis in engineering and design.

Neural networks and genetic algorithms draw on the problem-solving strategies of the natural world which differ fundamentally from the mathematically-based computing methods normally used in engineering, and can solve difficult inverse problems based on reduction in disorder -- such as in computational mechanics, earthquake engineering, structural control and engineering design.

This book presents the fundamentals of nonlinear mechanics within a modern computational approach, building on both linear elasticity and the finite element method. It serves as a text book for a second year graduate course and as a reference for practitioners using nonlinear analysis in engineering and design.