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OPTIMIZATION IN PRACTICE WITH MATLAB®
FOR ENGINEERING STUDENTS AND PROFESSIONALS
Optimization in Practice with MATLAB® provides a unique approach to optimization education. It is accessible to junior and senior undergraduate, and graduate students, as well as industry practitioners. It provides a strongly practical perspective that allows the student to be ready to use optimization in the workplace. It covers traditional materials, as well as important topics
previously unavailable in optimization books (e.g., Numerical Essentials – for successful optimization).
Outstanding features include:
• Provides practical applications of real-world problems using MATLAB.
• Each chapter includes a suite of practical examples and exercises that help students link the theoretical, the analytical and the computational. These include a robust set of real-world exercises.
• Provides supporting MATLAB codes that offer the opportunity to apply optimization at all levels, from students’ term projects to industry applications.
• Offers instructors a comprehensive solution manual with solution codes along with lectures in PowerPoint with animations for each chapter. The MATLAB mfiles are available for download from the book’s website.
• Instructors have the unique flexibility to structure one- or two-semester courses that may range from gentle introductions to highly challenging, for undergraduate or graduate students.
Dr. Achille Messac received his BS, MS and PhD from MIT in Aerospace Engineering. Dr. Messac is a Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and the American Society of Mechanical Engineers. He has authored or co-authored more than 70 journal and 130 conference articles, chaired several international conferences, delivered several keynote addresses, and received the prestigious AIAA Multidisciplinary Design Optimization Award. He has taught or advised undergraduate and graduate students in the areas of design and optimization for more than three decades at Rensselaer Polytechnic Institute, MIT, Syracuse University, Mississippi State and Northeastern University.
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