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.
General
Imprint: |
Society For Industrial & Applied Mathematics,U.S.
|
Country of origin: |
United States |
Release date: |
June 2009 |
First published: |
June 2009 |
Authors: |
Adam B. Levy
|
Dimensions: |
229 x 152 x 10mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
166 |
Edition: |
New |
ISBN-13: |
978-0-89871-679-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Optimization >
General
|
LSN: |
0-89871-679-9 |
Barcode: |
9780898716795 |
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