Scilab 5.3.3
- Scilab help
- Scilab
- Differential Equations, Integration
- Elementary Functions
- Linear Algebra
- Interpolation
- CACSD
- Polynomials
- Signal Processing
- FFTW
- Special Functions
- Randlib
- ARnoldi PACKage
- Statistics
- Sparse Matrix
- UMFPACK Interface (sparse)
- Optimization and Simulation
- Genetic Algorithms
- Simulated Annealing
- Symbolic
- Files : Input/Output functions
- Input/Output functions
- Graphics
- Graphics : exporting and printing
- GUI
- Data Structures
- Parameters
- Boolean
- Integers
- Strings
- Sound file handling
- Time and Date
- Output functions
- Xcos
- Spreadsheet
- Shell
- Console
- Completion
- History manager
- Matlab binary files I/O
- Matlab to Scilab Conversion Tips
- Compatibility Functions
- Maple Interface
- Overloading
- Functions
- Development tools
- Demo Tools
- Dynamic/incremental Link
- ATOMS
- Tcl/Tk Interface
- Text editor (Scinotes)
- UI Data
- Online help management
- Parallel
- PVM parallel Toolbox
- Modules manager
- Localization
- JVM
- API Scilab
- call_scilab API (Scilab engine)
- Java Interface
- Intersci
Please note that the recommended version of Scilab is 2026.1.0. This page might be outdated.
However, this page did not exist in the previous stable version.
Optimization and Simulation
- Neldermead
- fminsearch — Computes the unconstrained minimimum of given function with the Nelder-Mead algorithm.
- neldermead — Provides several direct search optimization algorithms based on the simplex method.
- neldermead_overview — An overview of the Nelder-Mead toolbox.
- nmplot — Provides several direct search optimization algorithms based on the simplex method.
- 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.
- NDcost — generic external for optim computing gradient using finite differences
- aplat — Flattens a list.
- 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
- list2vec — Catenates list entries in a matrix.
- lmisolver — linear matrix inequation solver
- lmitool — tool for solving linear matrix inequations
- lsqrsolve — minimize the sum of the squares of nonlinear functions, levenberg-marquardt algorithm
- numdiff — numerical gradient estimation
- optim — non-linear optimization routine
- qld — linear quadratic programming solver
- qp_solve — linear quadratic programming solver builtin
- qpsolve — linear quadratic programming solver
- quapro — linear quadratic programming solver (obsolete)
- readmps — reads a file in MPS format
- recons — reciprocal function for aplat.
- semidef — semidefinite programming
- vec2list — list2vec reciprocal function
| << UMFPACK Interface (sparse) | Scilab help | Genetic Algorithms >> |