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 9315 articles , 8 standard articles )

Showing results 1 to 20 of 9315.
Sorted by year (citations)

1 2 3 ... 464 465 466 next

  1. Shafai, Bahram: System identification and adaptive control (to appear) (2024)
  2. Albrecht, Gudrun; Caliò, Franca; Miglio, Edie: Geometrically constrained surface (re)construction (2019)
  3. 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)
  4. Graham, Bryan; de Paula, Aureo: The econometric analysis of network data (to appear) (2019)
  5. Keskin, Ali Ümit: Ordinary differential equations for engineers. Problems with MATLAB solutions (2019)
  6. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering (2019)
  7. Keviczky, László; Bars, Ruth; Hetthéssy, Jenő; Bányász, Csilla: Control engineering: MATLAB exercises (2019)
  8. Kwon, Wook Hyun; Park, PooGyeon: Stabilizing and optimizing control for time-delay systems. Including model predictive controls (2019)
  9. Lambers, James V.; Sumner, Amber C.: Explorations in numerical analysis (2019)
  10. Lindfield, George; Penny, John: Numerical methods. Using MATLAB (2019)
  11. Margrave, Gary F.; Lamoureux, Michael P.: Numerical methods of exploration seismology. With algorithms in MATLAB (to appear) (2019)
  12. Markovsky, Ivan: Low-rank approximation. Algorithms, implementation, applications (2019)
  13. Meurant, Gérard; Sommariva, Alvise: On the computation of sets of points with low Lebesgue constant on the unit disk (2019)
  14. Özgün, Özlem; Kuzuoğlu, Mustafa: MATLAB-based finite element programming in electromagnetic modeling (2019)
  15. Rashid, Adnan; Hasan, Osman: Formal analysis of continuous-time systems using Fourier transform (2019)
  16. Sun, Jian-Qiao; Xiong, Fu-Rui; Schütze, Oliver; Hernández, Carlos: Cell mapping methods. Algorithmic approaches and applications (2019)
  17. Xu, Zhen; Zhang, Hui: Stabilized semi-implicit numerical schemes for the Cahn-Hilliard-like equation with variable interfacial parameter (2019)
  18. Zhang, Xiaolong; Boyd, John P.: Revisiting the Thomas-Fermi equation: accelerating rational Chebyshev series through coordinate transformations (2019)
  19. Abdallah, L.; Haddou, M.; Migot, T.: Solving absolute value equation using complementarity and smoothing functions (2018)
  20. Abd-Elhameed, W. M.; Youssri, Y. H.: Fifth-kind orthonormal Chebyshev polynomial solutions for fractional differential equations (2018)

1 2 3 ... 464 465 466 next