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 ...
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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 types 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. The Basics of Practical Optimization presents:* Step-by-step solutions for five prototypical examples that fit the general optimization model.* Instruction on using numerical methods to solve models and making informed use of the results.* Information on how to optimize while adjusting the method to accommodate various practical concerns.* Three fundamentally different approaches to optimizing functions under constraints.* Ways to handle the special case when the variables are integers. The author provides four types 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.* 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.
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Add this copy of The Basics of Practical Optimization to cart. $77.51, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2009 by Society for Industrial and Appli.
Edition:
2009, Society for Industrial and Applied Mathematics (SIAM)
Publisher:
Society for Industrial and Applied Mathematics (SIAM)
Published:
2009
Language:
English
Alibris ID:
18076943301
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Add this copy of The Basics of Practical Optimization to cart. $95.19, new condition, Sold by discount_scientific_books rated 4.0 out of 5 stars, ships from Sterling Heights, MI, UNITED STATES, published 2009 by Society for Industrial and Applied Mathematics (SIAM).
Edition:
2009, Society for Industrial and Applied Mathematics (SIAM)
Add this copy of The Basics of Practical Optimization to cart. $98.05, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2009 by Society for Industrial and App.
Edition:
2009, Society for Industrial and Applied Mathematics (SIAM)
Add this copy of The Basics of Practical Optimization to cart. $176.69, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2009 by Society for Industrial and App.
Edition:
2009, Society for Industrial and Applied Mathematics (SIAM)
