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choose solver, define objective function and constraints, compute in parallel

to represent your optimization problem for solution, you generally follow these steps:

• choose an optimization solver.

• create an objective function, typically the function you want to minimize.

• create constraints, if any.

• set options, or use the default options.

• call the appropriate solver.

for details, see optimization workflow.

you can use a visual approach for optimizing; see the optimize live editor task.

categories


  • choose the most appropriate solver and algorithm

  • define the function to minimize or maximize, representing your problem

  • provide bounds, linear constraints, and nonlinear constraints
  • set options
    set optimization options
  • parallel computing
    built-in parallel search for solutions of optimization problems
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