Design Optimization using MATLAB and SOLIDWORKS
Cambridge University Press (Verlag)
978-1-108-49160-0 (ISBN)
A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB®'s optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS® for design optimization. A wide variety of optimization problems are covered including constrained non-linear, linear-programming, least-squares, multi-objective, and global optimization problems.
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).
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.
| Erscheinungsdatum | 04.05.2021 |
|---|---|
| Zusatzinfo | Worked examples or Exercises |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 182 x 259 mm |
| Gewicht | 930 g |
| Themenwelt | Informatik ► Software Entwicklung ► Objektorientierung |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Naturwissenschaften | |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-108-49160-X / 110849160X |
| ISBN-13 | 978-1-108-49160-0 / 9781108491600 |
| Zustand | Neuware |
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