Optimization Toolbox provides functions for finding parameters that minimize or maximize objectives while satisfying constraints. The toolbox includes solvers for linear programming, mixed-integer linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares. You can use these solvers to find optimal solutions to continuous and discrete problems, perform tradeoff analyses, and incorporate optimization methods into algorithms and applications.
CITATION STYLE
El Hami, A., & Radi, B. (2021). Optimization Toolbox. In Optimizations and Programming (pp. 245–248). Wiley. https://doi.org/10.1002/9781119818243.app3
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