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Introduction to Linear Optimization and Extensions with MATLAB®
book

Introduction to Linear Optimization and Extensions with MATLAB®

by Roy H. Kwon
September 2013
Intermediate to advanced content levelIntermediate to advanced
362 pages
8h 44m
English
CRC Press
Content preview from Introduction to Linear Optimization and Extensions with MATLAB®
26 Introduction to Linear Optimization and Extensions with MATLAB
R
set of constraints Ax b represents inequality constraints (of the less than
or equal to type). Note that any constraint that is originally an inequality
constraint that is of the greater than or equal to type () must be converted
to a less than or equal to equivalent. The second set of constraints A
eq
x = b
eq
represents the equality constraints, and l
b
x u
b
represents the lower
and upper bounds on the decision variables. Then, A, A
eq
are matrices and
b, b
eq
, l
b
, u
b
are vectors. f is a vector that represents the cost coefficients of
the objective function. These quantities are represented in MATLAB as f, A,
b, Aeq, beq, lb, and ub and are used as arguments for the linprog function. ...
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Publisher Resources

ISBN: 9781439862636