Uniquely integrates numerics, mathematics and applications of optimization, with MATLABÂ code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers.
Uniquely integrates numerics, mathematics and applications of optimization, with MATLABÂ code illustrating every concept. Requiring only basic undergraduate-level mathematics and no prior background in optimization, it is an accessible, hands-on text for senior undergraduates, junior graduate students and practicing engineers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Kirshnan Suresh is the Philip and Jean Myers Professor of Mechanical Engineering at University of Wisconsin, Madison, where he is also Director of the Engineering Representations and Simulation Lab. In 2018 he was honored as the recipient of the James G. Woodburn Award for Excellence in Undergraduate Teaching, and in 2017 he was elected as a Fellow of the American Society of Mechanical Engineers (ASME).
Inhaltsangabe
Preface Table of Contents 1. Introduction 2. Modeling 3. Introduction to MATLAB 4. Unconstrained Optimization: Theory 5. Unconstrained Optimization: Algorithms 6. MATLAB Optimization Toolbox 7. Constrained Optimization 8. Special Classes of Problems 9. Truss Analysis 10. Size Optimization of Trusses 11. Gradient Computation 12. Finite Element Analysis in 2D 13. Shape Optimization in 2D 14. Finite Element Analysis in 3D 15. SOLIDLAB: A SOLIDWORKS-MATLAB Interface 16. Shape Optimization using SOLIDLAB 17. Appendix 18. References.