
Optimizations and Programming
Linear, Non-linear, Dynamic, Stochastic and Applications with Matlab
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Optimizations and Programming
Linear, Non-linear, Dynamic, Stochastic and Applications with Matlab
About this book
This book is a general presentation of complex systems, examined from the point of view of management. There is no standard formula to govern such systems, nor to effectively understand and respond to them.
The interdisciplinary theory of self-organization is teeming with examples of living systems that can reorganize at a higher level of complexity when confronted with an external challenge of a certain magnitude. Modern businesses, considered as complex systems, ideally know how to flexibly and resiliently adapt to their environment, and also how to prepare for change via self-organization. Understanding sources of potential crisis is essential for leaders, though not all crises are necessarily bad news, as creative firms know how to respond to challenges through innovation: new products and markets, organizational learning for collective intelligence, and more.
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Information
PART 1
Programmation
1
Linear Programming
1.1. Introduction
- – model the problem with linear equations or inequalities that allow us to properly identify and structure the constraints satisfied by the variables of the model. The contribution of each variable to the company’s overarching objective must also be defined as a function that will be optimized;
- – find the mathematical optimum using specific linear programming techniques. We will study three methods for solving the various types of linear programming problems. The first is based on graphical solving and is therefore limited to two or three variables. The second method is more algebraic; it motivates the third method presented in this chapter, which is known as the simplex method (or algorithm).
1.2. Definitions




Terminol...
Table of contents
- Cover
- Table of Contents
- Title Page
- Copyright
- Preface
- PART 1: Programmation
- PART 2: Optimization
- Appendices
- References
- Index
- End User License Agreement