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 12074 articles , 8 standard articles )

Showing results 1 to 20 of 12074.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Alshabeeb, Israa Ali; Ali, Nidaa Ghalib: Optimization of fuzzy inference system based on particle swarm optimization to enhance the efficiency of system (2021)
  3. 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)
  4. Atangana, Abdon; Araz, Seda Igret: New numerical scheme with Newton polynomial. Theory, methods, and applications (to appear) (2021)
  5. 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)
  6. Barth, Dominik; Wenz, Andreas: Computation of Belyi maps with prescribed ramification and applications in Galois theory (2021)
  7. Bayındır, Cihan; Altintas, Azmi Ali; Ozaydin, Fatih: Self-localized solitons of a q-deformed quantum system (2021)
  8. Bespalov, Alex; Rocchi, Leonardo; Silvester, David: T-IFISS: a toolbox for adaptive FEM computation (2021)
  9. 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
  10. Chen, Wen-Jie; Han, Zhong-Jie: Stability in locally degenerate dual-phase-lag heat conduction (2021)
  11. Folino, Raffaele; Plaza, Ramón G.; Strani, Marta: Metastable patterns for a reaction-diffusion model with mean curvature-type diffusion (2021)
  12. Han, Chuan-Hsiang: GPU acceleration for computational finance (2021)
  13. Iavernaro, F.; Mazzia, F.; Mukhametzhanov, M. S.; Sergeyev, Ya. D.: Computation of higher order Lie derivatives on the infinity computer (2021)
  14. Khosravian-Arab, Hassan; Eslahchi, M. R.: Müntz pseudo-spectral method: theory and numerical experiments (2021)
  15. Kirkwood, James R.; Kirkwood, Bessie H.: Linear algebra (2021)
  16. Koch, Timo; Gläser, Dennis; Weishaupt, Kilian; Ackermann, Sina; Beck, Martin; Becker, Beatrix; Burbulla, Samuel; Class, Holger; Coltman, Edward; Emmert, Simon; Fetzer, Thomas; Grüninger, Christoph; Heck, Katharina; Hommel, Johannes; Kurz, Theresa; Lipp, Melanie; Mohammadi, Farid; Scherrer, Samuel; Schneider, Martin; Seitz, Gabriele; Stadler, Leopold; Utz, Martin; Weinhardt, Felix; Flemisch, Bernd: DuMu(^\textx 3) -- an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling (2021)
  17. Krzysztof Ciomek, Miłosz Kadziński: Polyrun: A Java library for sampling from the bounded convex polytopes (2021) not zbMATH
  18. L. Capocchi, J.F. Santucci: A web-based simulation of discrete-event system of system with the mobile application DEVSimPy-mob (2021) not zbMATH
  19. Lee, Cheng Few; Chen, Yibing; Lee, John: Implied variance estimates for Black-Scholes and CEV OPM: review and comparison (2021)
  20. Li, Xiao; Qiao, Zhonghua; Wang, Cheng: Convergence analysis for a stabilized linear semi-implicit numerical scheme for the nonlocal Cahn-Hilliard equation (2021)

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