Scilab 5.4.0
- Scilab help
- Scilab
- Differential calculus, 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
- XML Management
- 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
- Console
- History manager
- Matlab binary files I/O
- Matlab to Scilab Conversion Tips
- Compatibility Functions
- Functions
- Development tools
- Demo Tools
- Dynamic/incremental Link
- ATOMS
- Tcl/Tk Interface
- Text editor (Scinotes)
- UI Data
- Online help management
- Parallel
- Modules manager
- Localization
- JVM
- API Scilab
- call_scilab API (Scilab engine)
- Java Interface
- Intersci
- Windows tools
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 This page might be outdated.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 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.
| Report an issue | ||
| << UMFPACK Interface (sparse) | Scilab help | Genetic Algorithms >> |