<p>A comprehensive and easy to understand introduction to a wide range of tools to help designers to optimize their projects. The authors are engineers and therefore many of the examples are on engineering applications, but the techniques presented are common to various areas of knowledge and pervad
Project Optimization: Using MATLAB and SOLVER
โ Scribed by Reyolando M.L.R.F. Brasil; Marcelo Araujo da Silva
- Publisher
- De Gruyter
- Year
- 2021
- Tongue
- English
- Leaves
- 148
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
A comprehensive and easy to understand introduction to a wide range of tools to help designers to optimize their projects. The authors are engineers and therefore many of the examples are on engineering applications, but the techniques presented are common to various areas of knowledge and pervade disciplinary divisions. The book describes the fundamental ideas, mathematical and graphic methods and shows how to use Matlab and EXCEL for optimization.
- comprehensive
- easy to understand
- norm consistent
- following a single notation
โฆ Table of Contents
Preface
Contents
About notation
Chapter 1. Fundamental ideas
Chapter 2. Essential mathematical optimization tools
Chapter 3. Graphic method
Chapter 4. Linear programming
Chapter 5. Using MATLAB optimization toolbox
Chapter 6. Numerical methods for nonlinear non-constrained optimization
Chapter 7. Nature-inspired optimization methods
Chapter 8. Topology optimization and reliability
Chapter 9. Using Excel Solver in optimization problems
Appendix
References
Index
๐ SIMILAR VOLUMES
A comprehensive and easy to understand introduction to a wide range of tools to help designers to optimize their projects. The authors are engineers and therefore many of the examples are on engineering applications, but the techniques presented are common to various areas of knowledge and pervade d
In this book we gave a tutorial to work MATLAB in optic's science.
How to Optimally Sample and Resample Images: Theory and Methods Using MATLAB provides updated formulations of image sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, and also introduces interpolation error-free methods of image resamplin
How to Optimally Sample and Resample Images: Theory and Methods Using MATLAB provides updated formulations of image sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, and also introduces interpolation error-free methods of image resamplin
<p>The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results using MATLAB imple