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MATLAB Optimization Techniques
CVE 9273
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MATLAB Optimization Techniques introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals.
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Product Details
- MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Optimization Techniques introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. It begins by introducing the MATLAB environment and the structure of MATLAB programming before moving on to the mathematics of optimization. The central part of the book is dedicated to MATLAB’s Optimization Toolbox, which implements state-of-the-art algorithms for solving multiobjective problems, non-linear minimization with boundary conditions and restrictions, minimax optimization, semi-infinitely constrained minimization and linear and quadratic programming. A wide range of exercises and examples are included, illustrating the most widely used optimization methods.
| Publisher | Apress |
| Publication date | November 12, 2014 |
| Edition | 1st ed. |
| Language | English |
| File size | 7.1 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 327 pages |
| ISBN-13 | 978-1484202920 |
| Page Flip | Enabled |
| Item Weight | 1.5 lbs (680 grams) |
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MATLAB Optimization Techniques
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CVE 9273
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Features & Benefits
- Learn MATLAB language quickly with hands-on guidance.
- Achieve optimization goals effectively and efficiently.
- Explore advanced mathematical optimization techniques.
- Utilize MATLAB’s powerful Optimization Toolbox.
- Includes a variety of exercises for practical understanding.
- Enhance problem-solving skills with state-of-the-art algorithms.
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