Scilab includes hundreds of mathematical functions. It has a high level programming language allowing access to advanced data structures, 2-D and 3-D graphical functions. A large number of functionalities is included in Scilab: Maths & Simulation: For usual engineering and science applications including mathematical operations and data analysis. 2-D & 3-D Visualization: Graphics functions to visualize, annotate and export data and many ways to create and customize various types of plots and charts. Optimization: Algorithms to solve constrained and unconstrained continuous and discrete optimization problems. Statistics: Tools to perform data analysis and modeling Control System Design & Analysis: Standard algorithms and tools for control system study Signal Processing: Visualize, analyze and filter signals in time and frequency domains. Application Development: Increase Scilab native functionalities and manage data exchanges with external tools. Xcos - Hybrid dynamic systems modeler and simulator: Modeling mechanical systems, hydraulic circuits, control systems...

This software is also referenced in ORMS.

References in zbMATH (referenced in 112 articles , 2 standard articles )

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  1. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  2. Brillard, A.; Brilhac, J.F.; Valente, M.: Modelization of the grape marc pyrolysis and combustion based on an extended independent parallel reaction and determination of the optimal kinetic constants (2017)
  3. M. N. Gevorkyan, A. V. Demidova, A. V. Korolkova, D. S. Kulyabov, L. A. Sevastianov: The Stochastic Processes Generation in OpenModelica (2017) arXiv
  4. Cuvelier, François; Japhet, Caroline; Scarella, Gilles: An efficient way to assemble finite element matrices in vector languages (2016)
  5. Kassiénou, Lamien; Longin, Some; Mamadou, Ouedraogo: Using the adaptive mesh finite volume method to solve three test problems (2016)
  6. Lasunon, Patareeya: Scilab software package for the fuzzy analytical method (FAM) (2016)
  7. Riahi, Mohamed Kamel: A new approach to improve ill-conditioned parabolic optimal control problem via time domain decomposition (2016)
  8. Giesl, Peter; Hafstein, Sigurdur: Computation and verification of Lyapunov functions (2015)
  9. Kadrani, Abdeslam; Dussault, Jean Pierre; Benchakroun, Abdelhamid: A globally convergent algorithm for MPCC (2015)
  10. Kohn, Wolfgang; Öztürk, Riza: Mathematics for economists. Economic applications of linear algebra and analysis with Scilab (2015)
  11. Li, Gang; Chang, Liping; Li, Sheng: Signals and systems. Fundamentals (2015)
  12. Löwe, Harald: Book review of: F. Thuselt and F. P. Gennrich, Praktische Mathematik mit MATLAB, Scilab und Octave (2015)
  13. Scott, T.C.; Zhang, Wenxing: Efficient hybrid-symbolic methods for quantum mechanical calculations (2015)
  14. Sharaya, Irene A.: Boundary intervals method for visualization of polyhedral solution sets (2015)
  15. Volovich, G.I.; Solomin, E.V.; Topolskaya, I.G.; Topolsky, D.V.; Topolsky, N.D.: Modelling and calculation of adaptive devices of automation, control and protection for intellectual electric grid in Scilab freeware computer mathematic package (2015)
  16. Åström, Karl J.; Kumar, P.R.: Control: a perspective (2014)
  17. Ferreau, Hans Joachim; Kirches, Christian; Potschka, Andreas; Bock, Hans Georg; Diehl, Moritz: qpOASES: a parametric active-set algorithm for quadratic programming (2014)
  18. Forsell, Nicklas; Eriksson, Ljusk Ola: Influence of temporal aggregation on strategic forest management under risk of wind damage (2014)
  19. Gardiner, Bryan; Jakee, Khan; Lucet, Yves: Computing the partial conjugate of convex piecewise linear-quadratic bivariate functions (2014)
  20. Hinow, Peter: A nonsmooth program for jamming hard spheres (2014)

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