Design Optimization Using Matlab and Solidworks

Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB (R) 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.

Table des matières

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.

A propos de l'auteur

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).

Résumé

Uniquely integrates numerics, mathematics and applications of optimization, with MATLAB® 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.

Détails du produit

• Auteurs: Krishnan Suresh, Krishnan (University of Wisconsin Suresh
• Edition: Cambridge University Press ELT
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 31.05.2021
• EAN: 9781108491600
• ISBN: 978-1-108-49160-0
• Pages: 394
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Machines, ingénierie; Optimization, MATHEMATICS / Optimization, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / Object Oriented, COMPUTERS / Programming / General, Mathematics, Computer programming / software engineering, Computer Programming / Software Development, Object-oriented programming (OOP)