Principles of Optimization
Author: Zhiming Ou
Publisher: 3265 Public Way
ISBN: 978-1-0677470-0-8
Summary
By examining all the means for finding the optimal values of a quantity, starting from the fundamental inequalities, the geometric intuition, linear programs, to Lagrange multiplier, and the method of variation, I revised Newton’s Laws of, and revealed the distribution of energy in space, and understand that, in the microworld, the nature only leaves us with probability distribution.
Through reading this book, one can understand the nature of the world: thrifty or greedy? That’s the major problem. Every entity in the universe has a kind of wisdom: it knows when and how to make a change. We need to use math to describe things quantitatively, only in this way, we could know how does the universe run.
Content
Chapter 1 Inequality 3
- 1 Axioms
Proving inequalities 4
- 2 Named Inequalities 6
- 3 Ranges of Functions 13
Chapter 2 Geometric Optimal Values 17
- 1 Shortest route 18
The triangle Inequality
- 2 Some Economical shapes 22
- 3 Orthogonal vectors 24
Chapter 3 Linear Programming 26
- 1 Linear Programming for Two Variables 27
- 2 Three or more variables 32
Chapter 4 Optimizing Single Variable 35
- 1 Fermat’s Theorem 35
- 2 Proving Inequalities 39
Chapter 5 Optimizing Multiple Variables
- 1 Local and Global Extreme Values 42
- 2 Conditionally Optimal Values 50
Chapter 6 Extreme Values of Integrals 54
- 1 The method of Variation 54
- 2 Geodesic 59
- 3 Minimal and Maximal Surface 62
Chapter 7 Thrifty or Greedy 63
- 1 Energy distribution in a region 63
- 2 Principle of Uncertainty 70