*Industrial Optimization*
Local Optimization for Linear,
Nonlinear, and Queuing Problems*
*
*Industrial Optimization*
is a *Mathematica* application package designed to solve a wide range of
optimization problems. It provides established algorithms for linear and
nonlinear optimization as well as modern techniques such as genetic programming.
Because the package runs in conjunction with *Mathematica*, users also have
access to the *Mathematica* programming language and over 1,500 operations
that can be used to read, prepare, and analyze data in a single application.
*Industrial Optimization* comes with
built-in palettes, detailed explanations, and examples in both electronic and
bound formats to help users begin formulating and solving problems immediately.
Default behaviors have been chosen carefully to handle most situations, and all
functions have an extensive assortment of options that allow advanced users to
specify the algorithm's behavior and output.
Regardless of the computational tool used,
there are instances in which conventional algorithms like Newton's method can't
find an optimum or in which convergence is very slow. In these cases, *Industrial
Optimization* provides users with other modern and efficient techniques, such
as evolutionary algorithms, to find a solution. * Industrial Optimization*
is developed and supported by Visual Analysis
GmbH.
Functions include the following.
Linear optimization routines for solving
the following:
- Linear constrained and unconstrained
optimization problems
- Transportation problems
- Binary and mixed-integer problems
- Problems with multiple solutions
Simplex diagnostics
- Nonlinear optimization routines for the
following methods:
- Goldstein algorithm
- Modified Newton method
- Trust region method
- Method of reduction
- Genetic optimization
- Wolfe-Powell-Fletcher algorithm
- Quasi-Newton method
- Method of conjugate gradients
- Method of active sets
- Sequential quadratic programming
graphics of algorithm convergence and calculate the distribution functions and
parameters of M/M/s, M/M/1, M/G/1, and Jackson network queuing systems.
More information
on *Industrial Optimization.*
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