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 11496 articles , 8 standard articles )

Showing results 1 to 20 of 11496.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Monti, A.; Ponci, F.; Riva, M.: Electrical machine theory through finite element analysis. (to appear) (2021)
  3. Abdi, Ali; Hojjati, Gholamreza: Projection of second derivative methods for ordinary differential equations with invariants (2020)
  4. 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)
  5. Abrarov, Sanjar M.; Quine, Brendan M.: A rational approximation of the sinc function based on sampling and the Fourier transforms (2020)
  6. Agrawal, P. N.; Acu, A. M.; Ruchi, R.: (q)-generalized Bernstein-Durrmeyer polynomials (2020)
  7. Amiraslani, Amirhossein; Corless, Robert M.; Gunasingam, Madhusoodan: Differentiation matrices for univariate polynomials (2020)
  8. Anfinsen, Henrik; Aamo, Ole Morten: Stabilization and tracking control of a time-variant linear hyperbolic PIDE using backstepping (2020)
  9. Arora, Geeta; Bhatia, Gurpreet Singh: A meshfree numerical technique based on radial basis function pseudospectral method for Fisher’s equation (2020)
  10. Artioli, E.; Marfia, S.; Sacco, E.: VEM-based tracking algorithm for cohesive/frictional 2D fracture (2020)
  11. Asaithambi, Asai: Solution of third grade thin film flow using algorithmic differentiation (2020)
  12. 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)
  13. Averseng, Martin: Fast discrete convolution in (\mathbbR^2) with radial kernels using non-uniform fast Fourier transform with nonequispaced frequencies (2020)
  14. Awawdeh, Fadi; Smail, Linda: Convergence analysis of a highly accurate Nyström scheme for Fredholm integral equations (2020)
  15. Balk, Bert M.; Barbero, Javier; Zofío, José L.: A toolbox for calculating and decomposing total factor productivity indices (2020)
  16. Balm, Floris; Krikun, Alexander; Romero-Bermúdez, Aurelio; Schalm, Koenraad; Zaanen, Jan: Isolated zeros destroy Fermi surface in holographic models with a lattice (2020)
  17. Barati, Ali; Atabaigi, Ali: Numerical simulations of two components ecological models with sinc collocation method (2020)
  18. Barros, E. G. D.; Van Den Hof, P. M. J.; Jansen, J. D.: Informed production optimization in hydrocarbon reservoirs (2020)
  19. Barroso, Guillem; Gil, Antonio J.; Ledger, Paul D.; Mallett, Mike; Huerta, Antonio: A regularised-adaptive proper generalised decomposition implementation for coupled magneto-mechanical problems with application to MRI scanners (2020)
  20. Barth, Dominik; König, Joachim; Wenz, Andreas: An approach for computing families of multi-branch-point covers and applications for symplectic Galois groups (2020)

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