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Optimization

For standard and large-scale optimization issues, Scilab provides algorithms to solve constrained and unconstrained continuous and discrete problems.

Key Features
  • Nonlinear optimization
  • Quadratic optimization
  • Nonlinear least-square optimization
  • Semidefinite programming
  • Genetic algorithms
    Online Help chapter
  • Simulated annealing
    Online Help chapter
  • Linear matrix inequalities
See also

Datasheet - Optimization in Scilab

Tutorial - Optimization in Scilab (updated 09/2011)

Scilab Functions

Available external modules