Matlab

MATLAB® is a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java™. You can use MATLAB for a range of applications, including signal processing and communications, image and video processing, control systems, test and measurement, computational finance, and computational biology. More than a million engineers and scientists in industry and academia use MATLAB, the language of technical computing.

This software is also referenced in ORMS.


References in zbMATH (referenced in 12309 articles , 8 standard articles )

Showing results 1 to 20 of 12309.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Almaksour, Khaled; Krim, Youssef; Kouassi, N’guessan; Navarro, Nicolas; François, Bruno; Letrouvé, Tony; Saudemont, Christophe; Taunay, Lionel; Robyns, Benoit: Comparison of dynamic models for a DC railway electrical network including an AC/DC bi-directional power station (2021)
  3. Alshabeeb, Israa Ali; Ali, Nidaa Ghalib: Optimization of fuzzy inference system based on particle swarm optimization to enhance the efficiency of system (2021)
  4. Amin, Rohul; Shah, Kamal; Asif, Muhammad; Khan, Imran; Ullah, Faheem: An efficient algorithm for numerical solution of fractional integro-differential equations via Haar wavelet (2021)
  5. Anderson, A.; González, A. H.; Ferramosca, A.; Hernandez-Vargas, E. A.: Discrete-time MPC for switched systems with applications to biomedical problems (2021)
  6. Apostolakis, Georgios: Mixed variational one-dimensional dynamic thermo-viscoplasticity for wave propagation (2021)
  7. Araujo, Leonardo C.; Sansão, João P. H.; Vale-Cardoso, Adriano S.: Fast computation of binomial coefficients (2021)
  8. Atangana, Abdon; Araz, Seda Igret: New numerical scheme with Newton polynomial. Theory, methods, and applications (to appear) (2021)
  9. Ávila, Andrés I.; González, Galo Javier; Kopecz, Stefan; Meister, Andreas: Extension of modified Patankar-Runge-Kutta schemes to nonautonomous production-destruction systems based on Oliver’s approach (2021)
  10. Axelsson, Owe; Liang, Zhao-Zheng; Kruzik, Jakub; Horak, David: Inner product free iterative solution and elimination methods for linear systems of a three-by-three block matrix form (2021)
  11. Bardi, Martino; Cardaliaguet, Pierre: Convergence of some mean field games systems to aggregation and flocking models (2021)
  12. Barth, Dominik; Wenz, Andreas: Computation of Belyi maps with prescribed ramification and applications in Galois theory (2021)
  13. Battista, Nicholas A.: Fluid-structure interaction for the classroom: interpolation, hearts, and swimming! (2021)
  14. Bayındır, Cihan; Altintas, Azmi Ali; Ozaydin, Fatih: Self-localized solitons of a (q)-deformed quantum system (2021)
  15. Bespalov, Alex; Rocchi, Leonardo; Silvester, David: T-IFISS: a toolbox for adaptive FEM computation (2021)
  16. Breda, Dimitri; Florian, Francesco; Ripoll, Jordi; Vermiglio, Rossana: Efficient numerical computation of the basic reproduction number for structured populations (2021)
  17. Bremer, James; Pang, Qiyuan; Yang, Haizhao: Fast algorithms for the multi-dimensional Jacobi polynomial transform (2021)
  18. Carlos A. Garcia-Cadena, Abraham de J. Aguilar-Uribe, Luis F. Rojas-Ochoa: PhotonSTR-18: A LabVIEW toolbox for photon correlation spectroscopy (2021) not zbMATH
  19. Chen, Wen-Jie; Han, Zhong-Jie: Stability in locally degenerate dual-phase-lag heat conduction (2021)
  20. Cristian Jiménez, Ivan Amaya, Rodrigo Correa: SCSV_IPS: A software for the estimation of the shear coefficient of spin viscosity during the movement of a ferrofluid under the effect of an external rotating magnetic field (2021) not zbMATH

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