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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