Optimization in Practice with MATLAB®
eBook - PDF

Optimization in Practice with MATLAB®

For Engineering Students and Professionals

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Optimization in Practice with MATLAB®

For Engineering Students and Professionals

About this book

Optimization in Practice with MATLAB® provides a unique approach to optimization education. It is accessible to both 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). Written with both the reader and the instructor in mind, Optimization in Practice with MATLAB® provides practical applications of real-world problems using MATLAB®, with a suite of practical examples and exercises that help the students link the theoretical, the analytical, and the computational in each chapter. Additionally, supporting MATLAB® m-files are available for download via www.cambridge.org.messac. Lastly, adopting instructors will receive a comprehensive solution manual with solution codes along with lectures in PowerPoint with animations for each chapter, and the text's unique flexibility enables instructors to structure one- or two-semester courses.

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Yes, you can access Optimization in Practice with MATLAB® by Achille Messac in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. List of figures
  7. List of tables
  8. Preface
  9. Acknowledgements
  10. Part 1 Helpful Preliminaries
  11. Part 2 Using Optimization---the Road Map
  12. Part 3 Using Optimization---Practical Essentials
  13. Part 4 Going Deeper: Inside the Codes and Theoretical Aspects
  14. Part 5 More Advanced Topics in Optimization
  15. Author Index
  16. Subject Index