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 107 articles , 2 standard articles )

Showing results 1 to 20 of 107.
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  1. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  2. Cuvelier, François; Japhet, Caroline; Scarella, Gilles: An efficient way to assemble finite element matrices in vector languages (2016)
  3. Lasunon, Patareeya: Scilab software package for the fuzzy analytical method (FAM) (2016)
  4. Riahi, Mohamed Kamel: A new approach to improve ill-conditioned parabolic optimal control problem via time domain decomposition (2016)
  5. Giesl, Peter; Hafstein, Sigurdur: Computation and verification of Lyapunov functions (2015)
  6. Kadrani, Abdeslam; Dussault, Jean Pierre; Benchakroun, Abdelhamid: A globally convergent algorithm for MPCC (2015)
  7. Kohn, Wolfgang; Öztürk, Riza: Mathematics for economists. Economic applications of linear algebra and analysis with Scilab (2015)
  8. Li, Gang; Chang, Liping; Li, Sheng: Signals and systems. Fundamentals (2015)
  9. Löwe, Harald: Book review of: F. Thuselt and F. P. Gennrich, Praktische Mathematik mit MATLAB, Scilab und Octave (2015)
  10. Scott, T.C.; Zhang, Wenxing: Efficient hybrid-symbolic methods for quantum mechanical calculations (2015)
  11. 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)
  12. Åström, Karl J.; Kumar, P.R.: Control: a perspective (2014)
  13. Ferreau, Hans Joachim; Kirches, Christian; Potschka, Andreas; Bock, Hans Georg; Diehl, Moritz: qpOASES: a parametric active-set algorithm for quadratic programming (2014)
  14. Forsell, Nicklas; Eriksson, Ljusk Ola: Influence of temporal aggregation on strategic forest management under risk of wind damage (2014)
  15. Gardiner, Bryan; Jakee, Khan; Lucet, Yves: Computing the partial conjugate of convex piecewise linear-quadratic bivariate functions (2014)
  16. Hinow, Peter: A nonsmooth program for jamming hard spheres (2014)
  17. Makishita, Hideyo: Practice with computer algebra systems in mathematics education and teacher training courses (2014)
  18. Pestman, Wiebe R.; Groenwold, Rolf H.H.; Teerenstra, Steven: Comparison of strategies when building linear prediction models. (2014)
  19. Sarra, Scott A.: Regularized symmetric positive definite matrix factorizations for linear systems arising from RBF interpolation and differentiation (2014)
  20. Vande Wouwer, Alain; Saucez, Philippe; Vilas, Carlos: Simulation of ODE/PDE models with MATLAB, OCTAVE and SCILAB. Scientific and engineering applications (2014)

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