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 12821 articles , 8 standard articles )

Showing results 1 to 20 of 12821.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Agarwal, Ritu; Badole, Chandrakumar M.: Mathematical modelling for perishable product supply chain under inflation and variable lead time (2022)
  3. Corke, Peter: Robotics and control. Fundamental algorithms in Matlab (to appear) (2022)
  4. Li, Yibao; Liu, Rui; Xia, Qing; He, Chenxi; Li, Zhong: First- and second-order unconditionally stable direct discretization methods for multi-component Cahn-Hilliard system on surfaces (2022)
  5. Sussman, Myron M.: Practical numerical mathematics with MATLAB. Solutions (2022)
  6. Sussman, Myron M.: Practical numerical mathematics with MATLAB. A workbook (2022)
  7. Abbasbandy, Saeid; Shivanian, Elyas; AL-Jizani, Khalid Hammood; Atluri, Satya N.: Pseudospectral meshless radial point interpolation for generalized biharmonic equation subject to simply supported and clamped boundary conditions (2021)
  8. Abbring, Jaap H.; Salimans, Tim: The likelihood of mixed hitting times (2021)
  9. Abdi, Ali; Hojjati, Gholamreza: Second derivative backward differentiation formulae for ODEs based on barycentric rational interpolants (2021)
  10. Abrahamsen, Dylan; Fornberg, Bengt: On the infinite order limit of Hermite-based finite difference schemes (2021)
  11. Ackley, Matthew; Stechlinski, Peter: Determining key parameters in riots using lexicographic directional differentiation (2021)
  12. Adelgren, Nathan: Advancing parametric optimization. On multiparametric linear complementarity problems with parameters in general locations (2021)
  13. Agostini, Daniele; Çelik, Türkü Özlüm; Struwe, Julia; Sturmfels, Bernd: Theta surfaces (2021)
  14. Agress, Daniel J.; Guidotti, Patrick Q.: The smooth extension embedding method (2021)
  15. AL-Azzawi, Saad Fawzi; Al-Obeidi, Ahmed S.: Chaos synchronization in a new 6D hyperchaotic system with self-excited attractors and seventeen terms (2021)
  16. Alberto Gomez: MIPROT: A Medical Image Processing Toolbox for MATLAB (2021) arXiv
  17. Alexandrov, V. A.: Pole placement optimization for SISO control system (2021)
  18. Ali, Bagh; Nie, Yufeng; Hussain, Sajjad; Habib, Danial; Abdal, Sohaib: Insight into the dynamics of fluid conveying tiny particles over a rotating surface subject to Cattaneo-Christov heat transfer, Coriolis force, and Arrhenius activation energy (2021)
  19. Alimo, Ryan; Cavaglieri, Daniele; Beyhaghi, Pooriya; Bewley, Thomas R.: Design of IMEXRK time integration schemes via Delaunay-based derivative-free optimization with nonconvex constraints and grid-based acceleration (2021)
  20. Almaksour, Khaled; Krim, Youssef; Kouassi, N’guessan; Navarro, Nicolas; François, Bruno; Letrouvé, Tony; Saudemont, Christophe; Taunay, Lionel; Robyns, Benoit: Comparison of dynamic models for a DC railway electrical network including an AC/DC bi-directional power station (2021)

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