Scilab

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 165 articles , 2 standard articles )

Showing results 1 to 20 of 165.
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  1. Bingi, Kishore; Ibrahim, Rosdiazli; Karsiti, Mohd Noh; Hassan, Sabo Miya; Harindran, Vivekananda Rajah: Fractional-order systems and PID controllers. Using Scilab and curve fitting based approximation techniques (2020)
  2. Che, Haochi; Huang, Jun; Zhao, Xudong; Ma, Xiang; Xu, Ning: Functional interval observer for discrete-time systems with disturbances (2020)
  3. Kuřátko, Jan; Ratschan, Stefan: Solving reachability problems by a scalable constrained optimization method (2020)
  4. Chbani, Zaki; Mazgouri, Zakaria; Riahi, Hassan: From convergence of dynamical equilibrium systems to bilevel hierarchical Ky Fan minimax inequalities and applications (2019)
  5. Dapogny, Charles; Estevez, Rafael; Faure, Alexis; Michailidis, Georgios: Shape and topology optimization considering anisotropic features induced by additive manufacturing processes (2019)
  6. De Donno, Remo; Ghidoni, Antonio; Noventa, Gianmaria; Rebay, Stefano: Shape optimization of the ERCOFTAC centrifugal pump impeller using open-source software (2019)
  7. Kuřátko, Jan: Factorization of saddle-point matrices in dynamical systems optimization -- reusing pivots (2019)
  8. Picheny, Victor; Binois, Mickael; Habbal, Abderrahmane: A Bayesian optimization approach to find Nash equilibria (2019)
  9. Shamsutdinova, Tat’yana Mikhaĭlovna: Modelling of electric fields in axisymmetric systems for cathode protection of underground structures (2019)
  10. Ballester-Bolinches, Adolfo; Esteban-Romero, Ramón; Pérez-Calabuig, Vicente: A note on the rational canonical form of an endomorphism of a vector space of finite dimension (2018)
  11. Chiron, David; Scheid, Claire: Multiple branches of travelling waves for the Gross-Pitaevskii equation (2018)
  12. Haque, Tasnuva; Lucet, Yves: A linear-time algorithm to compute the conjugate of convex piecewise linear-quadratic bivariate functions (2018)
  13. Lasne, Luc: Parametric equations of common knots (2018)
  14. Nepomuceno, Erivelton G.; Martins, Samir A. M.; Silva, Bruno C.; Amaral, Gleison F. V.; Perc, Matjaž: Detecting unreliable computer simulations of recursive functions with interval extensions (2018)
  15. Poczekajło, P.; Wirski, R. T.: Synthesis and realization of 3-D orthogonal FIR filters using pipeline structures (2018)
  16. Weisz-Patrault, Daniel; Koedinger, Thomas: Residual stress on the run out table accounting for multiphase transitions and transformation induced plasticity (2018)
  17. Allaire, G.; Dapogny, C.; Estevez, R.; Faure, A.; Michailidis, G.: Structural optimization under overhang constraints imposed by additive manufacturing technologies (2017)
  18. Bajaj, Anuj; Hare, Warren; Lucet, Yves: Visualization of the (\varepsilon)-subdifferential of piecewise linear-quadratic functions (2017)
  19. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  20. Brenner, Dominic; Dellnitz, Andreas; Kulmann, Friedhelm; Rödder, Wilhelm: Compressing strongly connected subgroups in social networks: an entropy-based approach (2017)

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