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 11885 articles , 8 standard articles )

Showing results 1 to 20 of 11885.
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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. 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)
  5. Folino, Raffaele; Plaza, Ramón G.; Strani, Marta: Metastable patterns for a reaction-diffusion model with mean curvature-type diffusion (2021)
  6. Iavernaro, F.; Mazzia, F.; Mukhametzhanov, M. S.; Sergeyev, Ya. D.: Computation of higher order Lie derivatives on the infinity computer (2021)
  7. Monti, A.; Ponci, F.; Riva, M.: Electrical machine theory through finite element analysis. (to appear) (2021)
  8. Oberbroeckling, Lisa A.: Programming mathematics using MATLAB (2021)
  9. Abdi, Ali; Conte, Dajana: Implementation of second derivative general linear methods (2020)
  10. Abdi, Ali; Hojjati, Gholamreza: Projection of second derivative methods for ordinary differential equations with invariants (2020)
  11. Abdi, Ali; Hosseini, Seyyed Ahmad; Podhaisky, Helmut: Numerical methods based on the Floater-Hormann interpolants for stiff VIEs (2020)
  12. Abdoh, D. A.; Kodur, V. K. R.; Liew, K. M.: Smoothed particle hydrodynamics modeling of the thermal behavior of double skin facades in fires considering the effects of venetian blinds (2020)
  13. Abrarov, Sanjar M.; Quine, Brendan M.: A rational approximation of the sinc function based on sampling and the Fourier transforms (2020)
  14. Agrawal, P. N.; Acu, A. M.; Ruchi, R.: (q)-generalized Bernstein-Durrmeyer polynomials (2020)
  15. Alammari, K.; Sasi, A.; Ahmadi, M.; Ahmadi, A.; Saif, M.: Hybrid memristor-CMOS based FIR filter design (2020)
  16. Aline Duarte, Noslen Hernández: SeqROCTM: A Matlab toolbox for the analysis of Sequence of Random Objects driven by Context Tree Models (2020) arXiv
  17. Alnafisah, Yousef: The implementation of approximate coupling in two-dimensional SDEs with invertible diffusion terms (2020)
  18. Álvarez, Inmaculada C.; Barbero, Javier and Zofío, José L: A Data Envelopment Analysis Toolbox for MATLAB (2020) not zbMATH
  19. Amiraslani, Amirhossein; Corless, Robert M.; Gunasingam, Madhusoodan: Differentiation matrices for univariate polynomials (2020)
  20. Andò, Alessia; Breda, Dimitri: Collocation techniques for structured populations modeled by delay equations (2020)

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