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 7562 articles , 8 standard articles )

Showing results 1 to 20 of 7562.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Abdallah, L.; Haddou, M.; Migot, T.: Solving absolute value equation using complementarity and smoothing functions (2018)
  3. Apte, Shaila Dinkar: Random signal processing (2018)
  4. Bylina, Beata: The block WZ factorization (2018)
  5. Casas, G.; Ferrer, A.; Oñate, E.: Approximating the Basset force by optimizing the method of van Hinsberg et al. (2018)
  6. Constantinescu, Emil M.: Generalizing global error estimation for ordinary differential equations by using coupled time-stepping methods (2018)
  7. Diaz Cortes, G.B.; Vuik, C.; Jansen, J.D.: On POD-based deflation vectors for DPCG applied to porous media problems (2018)
  8. Dobrushkin, Vladimir A.: Applied differential equations with boundary value problems (2018)
  9. Garau, Eduardo M.; Vázquez, Rafael: Algorithms for the implementation of adaptive isogeometric methods using hierarchical B-splines (2018)
  10. Grcar, Joseph F.: Monotonic linear recurrences (2018)
  11. Helm, Werner E.; Justkowiak, Jan-Erik: Extension of Mittelmann’s benchmarks: comparing the solvers of SAS and Gurobi (2018)
  12. Ibrahim, Bashar: Mathematical analysis and modeling of DNA segregation mechanisms (2018)
  13. Kazemi, Seyed-Mohammad-Mahdi; Dehghan, Mehdi; Foroush Bastani, Ali: On a new family of radial basis functions: mathematical analysis and applications to option pricing (2018)
  14. Kopecz, S.; Meister, A.: On order conditions for modified Patankar-Runge-Kutta schemes (2018)
  15. Mirzaee, Farshid; Samadyar, Nasrin; Hoseini, Seyede Fatemeh: Euler polynomial solutions of nonlinear stochastic It^o-Volterra integral equations (2018)
  16. Mishra, Shashi Kant; Ram, Bhagwat: Introduction to linear programming with MATLAB (2018)
  17. Morra, Gabriele: Pythonic geodynamics. Implementations for fast computing (2018)
  18. Nkeki, Charles I.: Optimal pension fund management in a jump-diffusion environment: theoretical and empirical studies (2018)
  19. Abdelmalek, Salem; Bendoukha, Samir: On the global asymptotic stability of solutions to a generalised Lengyel-Epstein system (2017)
  20. Adachi, Satoru; Iwata, Satoru; Nakatsukasa, Yuji; Takeda, Akiko: Solving the trust-region subproblem by a generalized eigenvalue problem (2017)

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