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.
This software is also referenced in ORMS.
Keywords for this software
References in zbMATH (referenced in 148 articles , 2 standard articles )
Showing results 1 to 20 of 148.
Sorted by year (- Kuřátko, Jan: Factorization of saddle-point matrices in dynamical systems optimization -- reusing pivots (2019)
- Picheny, Victor; Binois, Mickael; Habbal, Abderrahmane: A Bayesian optimization approach to find Nash equilibria (2019)
- 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)
- Chiron, David; Scheid, Claire: Multiple branches of travelling waves for the Gross-Pitaevskii equation (2018)
- Haque, Tasnuva; Lucet, Yves: A linear-time algorithm to compute the conjugate of convex piecewise linear-quadratic bivariate functions (2018)
- Lasne, Luc: Parametric equations of common knots (2018)
- Allaire, G.; Dapogny, C.; Estevez, R.; Faure, A.; Michailidis, G.: Structural optimization under overhang constraints imposed by additive manufacturing technologies (2017)
- Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
- Brenner, Dominic; Dellnitz, Andreas; Kulmann, Friedhelm; Rödder, Wilhelm: Compressing strongly connected subgroups in social networks: an entropy-based approach (2017)
- 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)
- Calvet, Laura; Lopeman, Madeleine; de Armas, Jésica; Franco, Guillermo; Juan, Angel A.: Statistical and machine learning approaches for the minimization of trigger errors in parametric earthquake catastrophe bonds (2017)
- Lasne, Luc: Study and simulation of regular cylindrical knots (2017)
- López-González, Gehová; Arana-Daniel, Nancy; Bayro-Corrochano, Eduardo: Parallel Clifford support vector machines using the Gaussian kernel (2017)
- Makany, Roger Armand; Kossa Kongbowali, José Salathiel; Kissita, Gabriel; Mizère, Dominique: DSTATICO method: application to the compared economic evolution of the countries of the EMCCA and the WAEMU (2017)
- M. N. Gevorkyan, A. V. Demidova, A. V. Korolkova, D. S. Kulyabov, L. A. Sevastianov: The Stochastic Processes Generation in OpenModelica (2017) arXiv
- Nagy, Ivan; Suzdaleva, Evgenia: Algorithms and programs of dynamic mixture estimation. Unified approach to different types of components (2017)
- Pichler, Florian; Witteveen, Wolfgang; Fischer, Peter: A complete strategy for efficient and accurate multibody dynamics of flexible structures with large lap joints considering contact and friction (2017)
- Stadlmayr, Daniel; Witteveen, Wolfgang; Steiner, Wolfgang: A generalized constraint reduction method for reduced order MBS models (2017)
- Chabanol, Marie-Line; Ruch, Jean-Jacques: Probability and statistics. For the exam in modeling for the agrégation in mathematics (2016)
- Clairambault, J.; Fercoq, O.: Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology (2016)