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

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References in zbMATH (referenced in 6660 articles , 8 standard articles )

Showing results 1 to 20 of 6660.
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  1. Abdelmalek, Salem; Bendoukha, Samir: On the global asymptotic stability of solutions to a generalised Lengyel-Epstein system (2017)
  2. Adachi, Satoru; Iwata, Satoru; Nakatsukasa, Yuji; Takeda, Akiko: Solving the trust-region subproblem by a generalized eigenvalue problem (2017)
  3. Alonso, Pedro; Ibáñez, Javier; Sastre, Jorge; Peinado, Jesús; Defez, Emilio: Efficient and accurate algorithms for computing matrix trigonometric functions (2017)
  4. Asar, Özgür; Ilk, Ozlem; Dag, Osman: Estimating Box-Cox power transformation parameter via goodness-of-fit tests (2017)
  5. Aurentz, Jared L.; Trefethen, Lloyd N.: Block operators and spectral discretizations (2017)
  6. Banks, H.T.; Bekele-Maxwell, Kidist; Bociu, Lorena; Wang, Chuyue: Sensitivity via the complex-step method for delay differential equations with non-smooth initial data (2017)
  7. Bensoussan, Alain; Skaaning, Sonny: Base stock list price policy in continuous time (2017)
  8. Benzi, Michele; Simoncini, Valeria: Approximation of functions of large matrices with Kronecker structure (2017)
  9. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  10. Brezinski, Claude; Redivo-Zaglia, Michela: The simplified topological $\varepsilon$-algorithms: software and applications (2017)
  11. Burkhard Schmidt, Ulf Lorenz: WavePacket: A Matlab package for numerical quantum dynamics. I: Closed quantum systems and discrete variable representations (2017) arXiv
  12. Cao, Fangfei; Liu, Jinkun: An adaptive iterative learning algorithm for boundary control of a coupled ODE-PDE two-link rigid-flexible manipulator (2017)
  13. Ceballos, Marcelo A.: Numerical evaluation of integrals involving the product of two Bessel functions and a rational fraction arising in some elastodynamic problems (2017)
  14. Chuong, T.D.; Jeyakumar, V.: A generalized Farkas lemma with a numerical certificate and linear semi-infinite programs with SDP duals (2017)
  15. D’Ambrosio, Claudia; Vu, Ky; Lavor, Carlile; Liberti, Leo; Maculan, Nelson: New error measures and methods for realizing protein graphs from distance data (2017)
  16. De Gooijer, Jan G.: Elements of nonlinear time series analysis and forecasting (2017)
  17. Dendievel, Sarah; Latouche, Guy: Approximations for time-dependent distributions in Markovian fluid models (2017)
  18. Deshmukh, Jyotirmoy V.; Majumdar, Rupak; Prabhu, Vinayak S.: Quantifying conformance using the Skorokhod metric (2017)
  19. Diaz-Toca, Gema M.; Belhaj, Skander: Blind image deconvolution through Bezoutians (2017)
  20. Dilloo, Mehzabeen Jumanah; Tangman, Désiré Yannick: A superconvergent partial differential equation approach to price variance swaps under regime switching models (2017)

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