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 7090 articles , 8 standard articles )

Showing results 1 to 20 of 7090.
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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. Alain, Mathieu; Desharnais, Jules: Relations as images (2017)
  4. Alombah, N.Henry; Fotsin, Hilaire; Romanic, Kengne: Coexistence of multiple attractors, metastable chaos and bursting oscillations in a multiscroll memristive chaotic circuit (2017)
  5. Alonso, Pedro; Ibáñez, Javier; Sastre, Jorge; Peinado, Jesús; Defez, Emilio: Efficient and accurate algorithms for computing matrix trigonometric functions (2017)
  6. Arya, Rubi; Singh, Pitam: Fuzzy parametric iterative method for multi-objective linear fractional optimization problems (2017)
  7. Asar, Özgür; Ilk, Ozlem; Dag, Osman: Estimating Box-Cox power transformation parameter via goodness-of-fit tests (2017)
  8. Aurentz, Jared L.; Trefethen, Lloyd N.: Block operators and spectral discretizations (2017)
  9. Bajeux, Nicolas; Grognard, Frédéric; Mailleret, Ludovic: Augmentative biocontrol when natural enemies are subject to Allee effects (2017)
  10. 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)
  11. Bensoussan, Alain; Skaaning, Sonny: Base stock list price policy in continuous time (2017)
  12. Benzi, Michele; Simoncini, Valeria: Approximation of functions of large matrices with Kronecker structure (2017)
  13. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  14. Birajdar, Gunvant A.; Rashidi, M.M.: Finite difference schemes for variable order time-fractional first initial boundary value problems (2017)
  15. Bober, William: MATLAB essentials. A first course for engineers and scientists (to appear) (2017)
  16. Börgers, Christoph: An introduction to modeling neuronal dynamics (2017)
  17. Borrelli, Francesco; Bemporad, Alberto; Morari, Manfred: Predictive control for linear and hybrid systems (2017)
  18. Brezinski, Claude; Redivo-Zaglia, Michela: The simplified topological $\varepsilon$-algorithms: software and applications (2017)
  19. Burkhard Schmidt, Carsten Hartmann: WavePacket: A Matlab package for numerical quantum dynamics. II: Open quantum systems, optimal control, and model reduction (2017) arXiv
  20. Burkhard Schmidt, Ulf Lorenz: WavePacket: A Matlab package for numerical quantum dynamics. I: Closed quantum systems and discrete variable representations (2017) arXiv

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