Scilab 5.4.0
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- Differential calculus, Integration
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- Linear Algebra
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- CACSD (Computer Aided Control Systems Design)
- Polynomials
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- Randlib
- ARnoldi PACKage (ARPACK binding)
- Statistics
- Sparse Matrix
- UMFPACK Interface (sparse)
- Optimization and Simulation
- Genetic Algorithms
- Simulated Annealing
- XML Management
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Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
Optimization and Simulation
- Neldermead
- fminsearch — Computes the unconstrained minimimum of given function with the Nelder-Mead algorithm.
- neldermead — Provides direct search optimization algorithms.
- neldermead_overview — An overview of the Nelder-Mead toolbox.
- nmplot — Provides direct search optimization algorithms.
- optimget — Queries an optimization data structure.
- optimplotfunccount — Plot the number of function evaluations of an optimization algorithm
- optimplotfval — Plot the function value of an optimization algorithm
- optimplotx — Plot the value of the parameters of an optimization algorithm
- optimset — Configures and returns an optimization data structure.
- Optimization base
- optimbase — Provides an abstract class for a general optimization component.
- Optimization simplex
- optimsimplex — Manage a simplex with arbitrary number of points.
- Semidefinite Programming
- aplat — Flattens a list.
- list2vec — Concatenates list entries in a matrix.
- lmisolver — Solve linear matrix inequations.
- lmitool — Graphical tool for solving linear matrix inequations.
- pack — Compress a list of block-diagonal symmetric matrices.
- recons — Inverse function for aplat.
- semidef — Solve semidefinite problems.
- unpack — Uncompress a list of block-diagonal symmetric matrices.
- vec2list — Inverse function of list2vec.
- NDcost — generic external for optim computing gradient using finite differences
- datafit — Parameter identification based on measured data
- derivative — approximate derivatives of a function
- fit_dat — Parameter identification based on measured data
- fsolve — find a zero of a system of n nonlinear functions
- karmarkar — Solves a linear optimization problem.
- leastsq — Solves non-linear least squares problems
- lsqrsolve — minimize the sum of the squares of nonlinear functions, levenberg-marquardt algorithm
- optim — non-linear optimization routine
- qld — linear quadratic programming solver
- qp_solve — linear quadratic programming solver builtin
- qpsolve — linear quadratic programming solver
- readmps — Reads a Linear Program from a MPS file.
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