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 9424 articles , 8 standard articles )

Showing results 1 to 20 of 9424.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Abdi, A.; Jackiewicz, Z.: Towards a code for nonstiff differential systems based on general linear methods with inherent Runge-Kutta stability (2019)
  3. Albrecht, Gudrun; Caliò, Franca; Miglio, Edie: Geometrically constrained surface (re)construction (2019)
  4. Averbuch, Amir Z.; Neittaanmäki, Pekka; Zheludev, Valery A.: Spline and spline wavelet methods with applications to signal and image processing. Volume III. Selected topics (2019)
  5. Barbara De Palma, Marco Erba, Luca Mantovani, Nicola Mosco: A Python program for the implementation of the GAMMA-method for Monte Carlo simulations (2019)
  6. Deb, Anish; Roychoudhury, Srimanti: Control system analysis and identification with MATLAB. Block pulse and related orthogonal functions (2019)
  7. Erfani, S.; Babolian, E.; Javadi, S.; Shamsi, M.: Stable evaluations of fractional derivative of the Müntz-Legendre polynomials and application to fractional differential equations (2019)
  8. Graham, Bryan; de Paula, Aureo: The econometric analysis of network data (to appear) (2019)
  9. Justel, Claudia; Rocha, Carlos; Chaves, Emanuelle; Chaves, Anderson; Avelino, Geraldo: Augmenting the algebraic connectivity for certain families of graphs (2019)
  10. Keskin, Ali Ümit: Ordinary differential equations for engineers. Problems with MATLAB solutions (2019)
  11. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering: MATLAB exercises (2019)
  12. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering (2019)
  13. Kharab, Abdelwahab; Guenther, Ronald B.: An introduction to numerical methods. A MATLAB approach (2019)
  14. Kwon, Wook Hyun; Park, PooGyeon: Stabilizing and optimizing control for time-delay systems. Including model predictive controls (2019)
  15. Lambers, James V.; Sumner, Amber C.: Explorations in numerical analysis (2019)
  16. Lindfield, George; Penny, John: Numerical methods. Using MATLAB (2019)
  17. Margrave, Gary F.; Lamoureux, Michael P.: Numerical methods of exploration seismology. With algorithms in MATLAB (to appear) (2019)
  18. Markovsky, Ivan: Low-rank approximation. Algorithms, implementation, applications (2019)
  19. Meurant, Gérard; Sommariva, Alvise: On the computation of sets of points with low Lebesgue constant on the unit disk (2019)
  20. Naik, Parvaiz Ahmad; Pardasani, Kamal Raj: Three-dimensional finite element model to study effect of RyR calcium channel, ER leak and SERCA pump on calcium distribution in oocyte cell (2019)

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