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 13488 articles , 8 standard articles )

Showing results 1 to 20 of 13488.
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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Monti, A.; Ponci, F.; Riva, M.: Electrical machine theory through finite element analysis. (to appear) (2023)
  3. Adel, Mohamed: Numerical simulations for the variable order two-dimensional reaction sub-diffusion equation: linear and nonlinear (2022)
  4. Adel, Mohamed; Elsaid, Mohamed: An efficient approach for solving fractional variable order reaction sub-diffusion based on Hermite formula (2022)
  5. Agarwal, Ritu; Badole, Chandrakumar M.: Mathematical modelling for perishable product supply chain under inflation and variable lead time (2022)
  6. Agushaka, Jeffrey O.; Ezugwu, Absalom E.; Abualigah, Laith: Dwarf mongoose optimization algorithm (2022)
  7. Ahmad, Zubair; Ali, Farhad; Alqahtani, Aisha M.; Khan, Naveed; Khan, Ilyas: Dynamics of cooperative reactions based on chemical kinetics with reaction speed: a comparative analysis with singular and nonsingular kernels (2022)
  8. Akujuobi, Cajetan M.: Wavelets and wavelet transform systems and their applications. A digital signal processing approach (2022)
  9. Al Daas, Hussam; Ballard, Grey; Benner, Peter: Parallel algorithms for tensor train arithmetic (2022)
  10. Ali, Bagh; Khan, Shahid Ali; Hussein, Ahmed Kadhim; Thumma, Thirupathi; Hussain, Sajjad: Hybrid nanofluids: significance of gravity modulation, heat source/sink, and magnetohydrodynamic on dynamics of micropolar fluid over an inclined surface via finite element simulation (2022)
  11. Ali, Bagh; Shafiq, Anum; Manan, Abdul; Wakif, Abderrahim; Hussain, Sajjad: Bioconvection: significance of mixed convection and MHD on dynamics of Casson nanofluid in the stagnation point of rotating sphere via finite element simulation (2022)
  12. Ali, Liaqat; Ali, Bagh; Ghori, Muhammad Bilal: Melting effect on Cattaneo-Christov and thermal radiation features for aligned MHD nanofluid flow comprising microorganisms to leading edge: FEM approach (2022)
  13. Alli-Oke, R. Olusegun: On the validity of numerical simulations for control-theoretic AQM schemes in computer networks (2022)
  14. Alrabaiah, Hussam: Approximate solution of Fornberg-Whitham equation by modified homotopy perturbation method under non-singular fractional derivative (2022)
  15. Alrabaiah, Hussam; Rahman, Mati Ur; Mahariq, Ibrahim; Bushnaq, Samia; Arfan, Muhammad: Fractional order analysis of HBV and HCV co-infection under ABC derivative (2022)
  16. Amendola, Giovanni; Greco, Gianluigi; Veltri, Pierfrancesco: Answers set programs for non-transferable utility games: expressiveness, complexity and applications (2022)
  17. Apiyo, D.; Mouton, J. M.; Louw, C.; Sampson, S. L.; Louw, T. M.: Dynamic mathematical model development and validation of \textitinvitro Mycobacterium smegmatis growth under nutrient- and pH-stress (2022)
  18. Arnold, Anton; Klein, Christian; Ujvari, Bernhard: WKB-method for the 1D Schrödinger equation in the semi-classical limit: enhanced phase treatment (2022)
  19. Badar, Altaf Q. H.: Evolutionary optimization algorithms (2022)
  20. Bai, Yang; Du, Xiaolong; Hamada, Yuta: Diluted axion star collisions with neutron stars (2022)

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