Main.DemosOnOptimizationInterface History
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Continue reading by exploring [[Demos on Formulation of Control Problems]].
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(:source lang=MATLAB -getcode:) [@
mpt_demo_opt1
@]
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At the time of formulating the optimization problem, user is supposed to provide the problem data
Attach:opt_qpformat.png
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When formulating the optimization problem, user is supposed to provide the problem data to the @@Opt@@ class that accepts the following format
Attach:opt_qpformat.png
or
Attach:opt_lcpformat.png
Based on the problem data, the @@Opt@@ class determines the type of the problem and attaches an appropriate solver from the list of installed solvers. The solvers are sorted according to a priority list that can be changed.
For more details on formulating and solving optimization problems, inspect
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[[Attach:opt_qpformat.png]]
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[[Attach:opt_qpformat.png]]
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[[Attach:opt_qpformat.png]]
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At the time of formulating the optimization problem, user is supposed to provide the problem data
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At the time of formulating the optimization problem, user is supposed to provide the problem data
[[Attach:opt_qpformat.png]]
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# Call a method @@solve@@ to get a solution.
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# Call a method @@solve@@ to get a solution.
At the time of formulating the optimization problem, user is supposed to provide the problem data
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!! Demos on Optimization Interface
The Multi-Parametric Toolbox supports various solvers for solving optimization problems such as linear programs (LP), quadratic programs (QP), mixed-integer linear problems (MILP), mixed-integer quadratic problems (MIQP), linear-complementarity problems (LCP), and their parametric extensions. The unified gateway for formulating optimization problems represents the class @@Opt@@.
The concept of solving optimization problems in MPT follows two steps:
# Formulate an optimization problem using @@Opt@@ class.
# Call a method @@solve@@ to get a solution.