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

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 11686 articles , 8 standard articles )

Showing results 1 to 20 of 11686.
Sorted by year (citations)

1 2 3 ... 583 584 585 next

  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. 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)
  3. Monti, A.; Ponci, F.; Riva, M.: Electrical machine theory through finite element analysis. (to appear) (2021)
  4. Oberbroeckling, Lisa A.: Programming mathematics using MATLAB (2021)
  5. Abdi, Ali; Hojjati, Gholamreza: Projection of second derivative methods for ordinary differential equations with invariants (2020)
  6. 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)
  7. Abrarov, Sanjar M.; Quine, Brendan M.: A rational approximation of the sinc function based on sampling and the Fourier transforms (2020)
  8. Agrawal, P. N.; Acu, A. M.; Ruchi, R.: (q)-generalized Bernstein-Durrmeyer polynomials (2020)
  9. Alammari, K.; Sasi, A.; Ahmadi, M.; Ahmadi, A.; Saif, M.: Hybrid memristor-CMOS based FIR filter design (2020)
  10. Alnafisah, Yousef: The implementation of approximate coupling in two-dimensional SDEs with invertible diffusion terms (2020)
  11. Amiraslani, Amirhossein; Corless, Robert M.; Gunasingam, Madhusoodan: Differentiation matrices for univariate polynomials (2020)
  12. Andò, Alessia; Breda, Dimitri: Collocation techniques for structured populations modeled by delay equations (2020)
  13. Anfinsen, Henrik; Aamo, Ole Morten: Stabilization and tracking control of a time-variant linear hyperbolic PIDE using backstepping (2020)
  14. Angermann, Anne; Beuschel, Michael; Rau, Martin; Wohlfarth, Ulrich: MATLAB -- Simulink -- Stateflow. Foundations, toolboxes, examples (to appear) (2020)
  15. Arora, Geeta; Bhatia, Gurpreet Singh: A meshfree numerical technique based on radial basis function pseudospectral method for Fisher’s equation (2020)
  16. Artioli, E.; Marfia, S.; Sacco, E.: VEM-based tracking algorithm for cohesive/frictional 2D fracture (2020)
  17. Asaithambi, Asai: Solution of third grade thin film flow using algorithmic differentiation (2020)
  18. Asghar, Z.; Ali, N.; Waqas, M.; Javed, M. A.: An implicit finite difference analysis of magnetic swimmers propelling through non-Newtonian liquid in a complex wavy channel (2020)
  19. Averseng, Martin: Fast discrete convolution in (\mathbbR^2) with radial kernels using non-uniform fast Fourier transform with nonequispaced frequencies (2020)
  20. Awawdeh, Fadi; Smail, Linda: Convergence analysis of a highly accurate Nyström scheme for Fredholm integral equations (2020)

1 2 3 ... 583 584 585 next