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 9221 articles , 8 standard articles )

Showing results 1 to 20 of 9221.
Sorted by year (citations)

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  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. 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)
  3. Keskin, Ali Ümit: Ordinary differential equations for engineers. Problems with MATLAB solutions (2019)
  4. Kwon, Wook Hyun; Park, PooGyeon: Stabilizing and optimizing control for time-delay systems. Including model predictive controls (2019)
  5. Lambers, James V.; Sumner, Amber C.: Explorations in numerical analysis (2019)
  6. Margrave, Gary F.; Lamoureux, Michael P.: Numerical methods of exploration seismology. With algorithms in MATLAB (to appear) (2019)
  7. Markovsky, Ivan: Low-rank approximation. Algorithms, implementation, applications (2019)
  8. Meurant, Gérard; Sommariva, Alvise: On the computation of sets of points with low Lebesgue constant on the unit disk (2019)
  9. Özgün, Özlem; Kuzuoğlu, Mustafa: MATLAB-based finite element programming in electromagnetic modeling (2019)
  10. Rashid, Adnan; Hasan, Osman: Formal analysis of continuous-time systems using Fourier transform (2019)
  11. Sun, Jian-Qiao; Xiong, Fu-Rui; Schütze, Oliver; Hernández, Carlos: Cell mapping methods. Algorithmic approaches and applications (2019)
  12. Abdallah, L.; Haddou, M.; Migot, T.: Solving absolute value equation using complementarity and smoothing functions (2018)
  13. Abdelmalek, Salem; Bendoukha, Samir: Global asymptotic stability for a SEI reaction-diffusion model of infectious diseases with immigration (2018)
  14. Abdi, Ali; Hosseini, Seyyed Ahmad: The barycentric rational difference-quadrature scheme for systems of Volterra integro-differential equations (2018)
  15. Abdolkader, Tarek M.; Shaker, Ahmed; Alahmadi, A. N. M.: Numerical simulation of tunneling through arbitrary potential barriers applied on MIM and MIIM rectenna diodes (2018)
  16. Abrarov, Sanjar M.; Quine, Brendan M.; Jagpal, Rajinder K.: A sampling-based approximation of the complex error function and its implementation without poles (2018)
  17. Adrian R.G. Harwood, Joseph O’Connor, Jonathan Sanchez Muñoz, Marta Camps Santasmasas, Alistair J. Revell: LUMA: A many-core, Fluid–Structure Interaction solver based on the Lattice-Boltzmann Method (2018)
  18. Afonso, S. M.; Furtado, A. L.: Remarks on the existence and uniqueness of periodic solution for nth-order functional differential equations with infinite delay (2018)
  19. Ahmed, Diar; Okba, Zehrour: The new fractional order hyperchaotic system derived from a Kind of Hyper-Chaotic systems (2018)
  20. Aizinger, Vadym; Bungert, Leon; Fried, Michael: Comparison of two local discontinuous Galerkin formulations for the subjective surfaces problem (2018)

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