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.

Keywords for this software
References in zbMATH (referenced in 12074 articles , 8 standard articles )
Showing results 1 to 20 of 12074.
Sorted by year (- Shafai, Bahram: System identification and adaptive control (to appear) (2024)
- Alshabeeb, Israa Ali; Ali, Nidaa Ghalib: Optimization of fuzzy inference system based on particle swarm optimization to enhance the efficiency of system (2021)
- 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)
- Atangana, Abdon; Araz, Seda Igret: New numerical scheme with Newton polynomial. Theory, methods, and applications (to appear) (2021)
- 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)
- Barth, Dominik; Wenz, Andreas: Computation of Belyi maps with prescribed ramification and applications in Galois theory (2021)
- Bayındır, Cihan; Altintas, Azmi Ali; Ozaydin, Fatih: Self-localized solitons of a q-deformed quantum system (2021)
- Bespalov, Alex; Rocchi, Leonardo; Silvester, David: T-IFISS: a toolbox for adaptive FEM computation (2021)
- 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
- Chen, Wen-Jie; Han, Zhong-Jie: Stability in locally degenerate dual-phase-lag heat conduction (2021)
- Folino, Raffaele; Plaza, Ramón G.; Strani, Marta: Metastable patterns for a reaction-diffusion model with mean curvature-type diffusion (2021)
- Han, Chuan-Hsiang: GPU acceleration for computational finance (2021)
- Iavernaro, F.; Mazzia, F.; Mukhametzhanov, M. S.; Sergeyev, Ya. D.: Computation of higher order Lie derivatives on the infinity computer (2021)
- Khosravian-Arab, Hassan; Eslahchi, M. R.: Müntz pseudo-spectral method: theory and numerical experiments (2021)
- Kirkwood, James R.; Kirkwood, Bessie H.: Linear algebra (2021)
- 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)
- Krzysztof Ciomek, Miłosz Kadziński: Polyrun: A Java library for sampling from the bounded convex polytopes (2021) not zbMATH
- L. Capocchi, J.F. Santucci: A web-based simulation of discrete-event system of system with the mobile application DEVSimPy-mob (2021) not zbMATH
- Lee, Cheng Few; Chen, Yibing; Lee, John: Implied variance estimates for Black-Scholes and CEV OPM: review and comparison (2021)
- Li, Xiao; Qiao, Zhonghua; Wang, Cheng: Convergence analysis for a stabilized linear semi-implicit numerical scheme for the nonlocal Cahn-Hilliard equation (2021)