Main
~~*~~ [[Attach:parallel_computing_with_apm_python.zip|Attach:parallel_computing_with_apm_python.png]]

~~*~~ [[Attach:parallel_computing_with_apm.zip|Attach:parallel_computing_with_apm.png]]
~~* [[Attach~~:~~parallel_computing_with_apm.zip|Parallel Computing Example Files (~~.~~zip~~)~~]]~~

## Parallel Computing in Optimization

## Main.ParallelComputing History

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APM is configured to run on heterogeneous networks and platforms. In this example application, we solve a series of optimization problems using Linux and Windows servers. The optimization problems are transferred to the servers in parallel, computed in parallel, and returned asynchronously to the MATLAB ~~interface~~. The tutorial begins with a simple Nonlinear Programming problem. The tutorial examples are available for download below:

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APM is configured to run on heterogeneous networks and platforms. In this example application, we solve a series of optimization problems using Linux and Windows servers. The optimization problems are transferred to the servers in parallel, computed in parallel, and returned asynchronously to the MATLAB or Python script. The tutorial begins with a simple Nonlinear Programming problem. The tutorial examples are available for download below:

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APM is configured to run on heterogeneous networks and platforms. In this example application, we solve a series of optimization problems using Linux and Windows servers. The optimization problems are transferred to the servers in parallel, computed in parallel, and returned asynchronously to the MATLAB interface. The tutorial begins with a simple Nonlinear Programming problem ~~that is formulated in two different ways. The tutorial example and other files are available for download below~~:

* [[Attach:parallel_computing_with_apm.zip|~~Parallel Computing Example Files (~~.~~zip)~~]]

[[Attach:parallel_computing_with_apm.zip|~~Attach:parallel_computing_with_apm~~.~~png~~]]

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APM is configured to run on heterogeneous networks and platforms. In this example application, we solve a series of optimization problems using Linux and Windows servers. The optimization problems are transferred to the servers in parallel, computed in parallel, and returned asynchronously to the MATLAB interface. The tutorial begins with a simple Nonlinear Programming problem. The tutorial examples are available for download below:

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* [[Attach:parallel_computing_with_apm_python.zip|Parallel Computing Example Files for APM Python (.zip)]]

* [[Attach:parallel_computing_with_apm.zip|Attach:parallel_computing_with_apm_python.png]]

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* [[Attach:parallel_computing_with_apm.zip|Parallel Computing Example Files for APM MATLAB (.zip)]]

* [[Attach:parallel_computing_with_apm.zip|Attach:parallel_computing_with_apm.png]]

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* [[Attach:parallel_computing_with_apm_python.zip|Parallel Computing Example Files for APM Python (.zip)]]

* [[Attach:parallel_computing_with_apm.zip|Attach:parallel_computing_with_apm_python.png]]

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* [[Attach:parallel_computing_with_apm.zip|Parallel Computing Example Files for APM MATLAB (.zip)]]

* [[Attach:parallel_computing_with_apm.zip|Attach:parallel_computing_with_apm.png]]

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(:html:)

<iframe width="560" height="315" src="http://www.youtube.com/embed/GB0NYz-k8ZM?rel=0" frameborder="0" allowfullscreen></iframe>

(:htmlend:)

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(:title Parallel Computing in Optimization:)

(:keywords parallel computing, mathematical modeling, nonlinear, optimization, engineering optimization, interior point, active set, differential, algebraic, modeling language, university course:)

(:description Tutorial on using MATLAB to solve parallel computing optimization applications.:)

!!!! Parallel Computing

APM is configured to run on heterogeneous networks and platforms. In this example application, we solve a series of optimization problems using Linux and Windows servers. The optimization problems are transferred to the servers in parallel, computed in parallel, and returned asynchronously to the MATLAB interface. The tutorial begins with a simple Nonlinear Programming problem that is formulated in two different ways. The tutorial example and other files are available for download below:

[[Attach:parallel_computing_with_apm.zip|Attach:parallel_computing_with_apm.png]]

* [[Attach:parallel_computing_with_apm.zip|Parallel Computing Example Files (.zip)]]

----

(:html:)

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<script type="text/javascript">

/* * * CONFIGURATION VARIABLES: EDIT BEFORE PASTING INTO YOUR WEBPAGE * * */

var disqus_shortname = 'apmonitor'; // required: replace example with your forum shortname

/* * * DON'T EDIT BELOW THIS LINE * * */

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(:htmlend:)

(:keywords parallel computing, mathematical modeling, nonlinear, optimization, engineering optimization, interior point, active set, differential, algebraic, modeling language, university course:)

(:description Tutorial on using MATLAB to solve parallel computing optimization applications.:)

!!!! Parallel Computing

APM is configured to run on heterogeneous networks and platforms. In this example application, we solve a series of optimization problems using Linux and Windows servers. The optimization problems are transferred to the servers in parallel, computed in parallel, and returned asynchronously to the MATLAB interface. The tutorial begins with a simple Nonlinear Programming problem that is formulated in two different ways. The tutorial example and other files are available for download below:

[[Attach:parallel_computing_with_apm.zip|Attach:parallel_computing_with_apm.png]]

* [[Attach:parallel_computing_with_apm.zip|Parallel Computing Example Files (.zip)]]

----

(:html:)

<div id="disqus_thread"></div>

<script type="text/javascript">

/* * * CONFIGURATION VARIABLES: EDIT BEFORE PASTING INTO YOUR WEBPAGE * * */

var disqus_shortname = 'apmonitor'; // required: replace example with your forum shortname

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