Scilab 5.4.0
- Aide Scilab
- Scilab
- Calcul différentiel, Intégration
- Fonctions Elémentaires
- Algèbre Lineaire
- Interpolation
- CACSD (Computer Aided Control Systems Design)
- Polynômes
- Traitement du Signal
- FFTW
- Fonctions spéciales
- Randlib
- ARnoldi PACKage (binding de ARPACK)
- Statistiques
- Matrices creuses
- Interface avec UMFPACK (sparse)
- Optimisation et Simulation
- Algorithmes génétiques
- Simulated Annealing
- Gestion des fichiers XML
- Entrées/Sorties [fichiers]
- Entrées/Sorties
- Graphiques
- Graphiques: export et impression
- Interface graphique
- Structures
- Parameters
- Booléens
- Entiers
- Chaînes de caractères
- Manipulation de fichiers sons
- Heure et date
- Sorties
- Xcos
- Tableur
- Console
- Gestion de l'historique
- Lecture/Ecriture de fichiers binaires Matlab
- Aide à la conversion Matlab vers Scilab
- Fonctions de compatibilité
- Fonctions avancées
- Outils de développement
- Outils pour les démonstrations
- Link dynamique/incremental
- ATOMS
- Interface avec Tcl/Tk
- Editeur de texte (Scinotes)
- UI Data
- Gestion de l'aide en ligne
- Parallel
- Gestionnaire de modules externe
- Localisation
- JVM
- API Scilab
- API call_scilab (moteur Scilab)
- Interface avec Java
- Intersci
- Outils Windows
Please note that the recommended version of Scilab is 2025.1.0. This page might be outdated.
However, this page did not exist in the previous stable version.
Optimisation et 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.
- fsolve — résout un système d'équations non-linéaires
- 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
- 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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