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 12640 articles , 8 standard articles )

Showing results 1 to 20 of 12640.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Abbasbandy, Saeid; Shivanian, Elyas; AL-Jizani, Khalid Hammood; Atluri, Satya N.: Pseudospectral meshless radial point interpolation for generalized biharmonic equation subject to simply supported and clamped boundary conditions (2021)
  3. Adelgren, Nathan: Advancing parametric optimization. On multiparametric linear complementarity problems with parameters in general locations (2021)
  4. Agress, Daniel J.; Guidotti, Patrick Q.: The smooth extension embedding method (2021)
  5. Alberto Gomez: MIPROT: A Medical Image Processing Toolbox for MATLAB (2021) arXiv
  6. Ali, Bagh; Nie, Yufeng; Hussain, Sajjad; Habib, Danial; Abdal, Sohaib: Insight into the dynamics of fluid conveying tiny particles over a rotating surface subject to Cattaneo-Christov heat transfer, Coriolis force, and Arrhenius activation energy (2021)
  7. Alimo, Ryan; Cavaglieri, Daniele; Beyhaghi, Pooriya; Bewley, Thomas R.: Design of IMEXRK time integration schemes via Delaunay-based derivative-free optimization with nonconvex constraints and grid-based acceleration (2021)
  8. 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)
  9. Alshabeeb, Israa Ali; Ali, Nidaa Ghalib: Optimization of fuzzy inference system based on particle swarm optimization to enhance the efficiency of system (2021)
  10. Álvarez, Diego; González-Rodríguez, Pedro; Kindelan, Manuel: A local radial basis function method for the Laplace-Beltrami operator (2021)
  11. Amigó, José M.; Dale, Roberto; Tempesta, Piergiulio: A generalized permutation entropy for noisy dynamics and random processes (2021)
  12. 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)
  13. Anderson, A.; González, A. H.; Ferramosca, A.; Hernandez-Vargas, E. A.: Discrete-time MPC for switched systems with applications to biomedical problems (2021)
  14. Antil, Harbir; Berry, Tyrus; Harlim, John: Fractional diffusion maps (2021)
  15. Aouadi, Moncef; Mahfoudhi, Imed; Moulahi, Taoufik: Decay and numerical results in nonsimple viscoelasticity (2021)
  16. Apostolakis, Georgios: Mixed variational one-dimensional dynamic thermo-viscoplasticity for wave propagation (2021)
  17. Arancibia-Ibarra, Claudio; Bode, Michael; Flores, José; Pettet, Graeme; van Heijster, Peter: Turing patterns in a diffusive Holling-Tanner predator-prey model with an alternative food source for the predator (2021)
  18. Araujo, Leonardo C.; Sansão, João P. H.; Vale-Cardoso, Adriano S.: Fast computation of binomial coefficients (2021)
  19. Atangana, Abdon; İğret Araz, Seda: New numerical scheme with Newton polynomial. Theory, methods, and applications (2021)
  20. 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)

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