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 11146 articles , 8 standard articles )

Showing results 1 to 20 of 11146.
Sorted by year (citations)

1 2 3 ... 556 557 558 next

  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Abdi, Ali; Hojjati, Gholamreza: Projection of second derivative methods for ordinary differential equations with invariants (2020)
  3. Amiraslani, Amirhossein; Corless, Robert M.; Gunasingam, Madhusoodan: Differentiation matrices for univariate polynomials (2020)
  4. Arora, Geeta; Bhatia, Gurpreet Singh: A meshfree numerical technique based on radial basis function pseudospectral method for Fisher’s equation (2020)
  5. Awawdeh, Fadi; Smail, Linda: Convergence analysis of a highly accurate Nyström scheme for Fredholm integral equations (2020)
  6. Balk, Bert M.; Barbero, Javier; Zofío, José L.: A toolbox for calculating and decomposing total factor productivity indices (2020)
  7. Barati, Ali; Atabaigi, Ali: Numerical simulations of two components ecological models with sinc collocation method (2020)
  8. Bashier, Eihab B. M.: Practical numerical and scientific computing with MATLAB and Python (to appear) (2020)
  9. Bauman, B.; Sommariva, A.; Vianello, M.: Compressed algebraic cubature over polygons with applications to optical design (2020)
  10. Bayin, Selcuk S.: Essentials of mathematical methods in science and engineering (2020)
  11. Berrut, Jean-Paul; Elefante, Giacomo: A periodic map for linear barycentric rational trigonometric interpolation (2020)
  12. Bhaumik, Shovan; Date, Paresh: Nonlinear estimation. Methods and applications with deterministic sample points (2020)
  13. Biermé, Hermine; Lacaux, Céline: Fast and exact synthesis of some operator scaling Gaussian random fields (2020)
  14. Botchev, M. A.; Knizhnerman, L. A.: ART: adaptive residual-time restarting for Krylov subspace matrix exponential evaluations (2020)
  15. Böttcher, Philipp C.; Otto, Andreas; Kettemann, Stefan; Agert, Carsten: Time delay effects in the control of synchronous electricity grids (2020)
  16. Bünger, Florian: A Taylor model toolbox for solving ODEs implemented in Matlab/INTLAB (2020)
  17. Buvoli, Tommaso: A class of exponential integrators based on spectral deferred correction (2020)
  18. Campagna, R.; Cuomo, S.; De Marchi, S.; Perracchione, E.; Severino, G.: A stable meshfree PDE solver for source-type flows in porous media (2020)
  19. Campos, Lucas Silveira; Loeffler, Carlos Friedrich; Netto, Fabrício Oliveira; dos Santos, Áquila de Jesus: Testing the accomplishment of the radial integration method with the direct interpolation boundary element technique for solving Helmholtz problems (2020)
  20. Cavoretto, R.; De Rossi, A.; Dell’Accio, F.; Di Tommaso, F.: An efficient trivariate algorithm for tetrahedral Shepard interpolation (2020)

1 2 3 ... 556 557 558 next