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.

About the Author

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).

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