The Basics of Practical Optimization
The Basics of Practical Optimization By Adam B. Levy
Publisher: Society for Industrial and Applied Mathematics 2009-06-10 | 167 Pages | ISBN: 0898716799 | PDF | 2 MB
This textbook provides undergraduate students with an introduction to optimization and its uses for relevant and realistic problems. The only prerequisite for readers is a basic understanding of multivariable calculus because additional material, such as explanations of matrix tools, are provided in a series of Asides both throughout the text at relevant points and in a handy appendix.
The Basics of Practical Optimization presents step-by-step solutions for five prototypical examples that fit the general optimization model, along with instruction on using numerical methods to solve models and making informed use of the results. It also includes information on how to optimize while adjusting the method to accommodate various practical concerns; three fundamentally different approaches to optimizing functions under constraints; and ways to handle the special case when the variables are integers.
The author provides four levels of learn-by-doing activities through the book: Exercises meant to be attempted as they are encountered and that are short enough for in-class use; Problems for lengthier in-class work or homework; Computational Problems for homework or a computer lab session; and Implementations usable as collaborative activities in the computer lab over extended periods of time
The accompanying Web site offers the Mathematica notebooks that support the Implementations.
Audience: This textbook is appropriate for undergraduate students who have taken a multivariable calculus course.
Contents:
List of Figures
List of Tables
Preface
Chapter 1: Modeling
Chapter 2: Impractical Optimization
Chapter 3: Basic Practical Optimization
Chapter 4: Some Practical Modifications
Chapter 5: How Methods Are Ranked
Chapter 6: Constraints
Chapter 7: More Practical Modifications
Chapter 8: Integer Variables
Chapter 9: Other Methods
Appendix of Asides
Bibliography
Index
-------------------------------------------------------------------------
Links
DoWnLoAd FiLe
or
mirror
or
mirror
The Basics of Practical Optimization By Adam B. Levy
Publisher: Society for Industrial and Applied Mathematics 2009-06-10 | 167 Pages | ISBN: 0898716799 | PDF | 2 MB
This textbook provides undergraduate students with an introduction to optimization and its uses for relevant and realistic problems. The only prerequisite for readers is a basic understanding of multivariable calculus because additional material, such as explanations of matrix tools, are provided in a series of Asides both throughout the text at relevant points and in a handy appendix.
The Basics of Practical Optimization presents step-by-step solutions for five prototypical examples that fit the general optimization model, along with instruction on using numerical methods to solve models and making informed use of the results. It also includes information on how to optimize while adjusting the method to accommodate various practical concerns; three fundamentally different approaches to optimizing functions under constraints; and ways to handle the special case when the variables are integers.
The author provides four levels of learn-by-doing activities through the book: Exercises meant to be attempted as they are encountered and that are short enough for in-class use; Problems for lengthier in-class work or homework; Computational Problems for homework or a computer lab session; and Implementations usable as collaborative activities in the computer lab over extended periods of time
The accompanying Web site offers the Mathematica notebooks that support the Implementations.
Audience: This textbook is appropriate for undergraduate students who have taken a multivariable calculus course.
Contents:
List of Figures
List of Tables
Preface
Chapter 1: Modeling
Chapter 2: Impractical Optimization
Chapter 3: Basic Practical Optimization
Chapter 4: Some Practical Modifications
Chapter 5: How Methods Are Ranked
Chapter 6: Constraints
Chapter 7: More Practical Modifications
Chapter 8: Integer Variables
Chapter 9: Other Methods
Appendix of Asides
Bibliography
Index
-------------------------------------------------------------------------
Links
DoWnLoAd FiLe
or
mirror
or
mirror