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.
This software is also referenced in ORMS.
Keywords for this software
References in zbMATH (referenced in 13488 articles , 8 standard articles )
Showing results 1 to 20 of 13488.
Sorted by year (citations)
- Shafai, Bahram: System identification and adaptive control (to appear) (2024)
- Monti, A.; Ponci, F.; Riva, M.: Electrical machine theory through finite element analysis. (to appear) (2023)
- Adel, Mohamed: Numerical simulations for the variable order two-dimensional reaction sub-diffusion equation: linear and nonlinear (2022)
- Adel, Mohamed; Elsaid, Mohamed: An efficient approach for solving fractional variable order reaction sub-diffusion based on Hermite formula (2022)
- Agarwal, Ritu; Badole, Chandrakumar M.: Mathematical modelling for perishable product supply chain under inflation and variable lead time (2022)
- Agushaka, Jeffrey O.; Ezugwu, Absalom E.; Abualigah, Laith: Dwarf mongoose optimization algorithm (2022)
- 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)
- Akujuobi, Cajetan M.: Wavelets and wavelet transform systems and their applications. A digital signal processing approach (2022)
- Al Daas, Hussam; Ballard, Grey; Benner, Peter: Parallel algorithms for tensor train arithmetic (2022)
- 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)
- 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)
- 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)
- Alli-Oke, R. Olusegun: On the validity of numerical simulations for control-theoretic AQM schemes in computer networks (2022)
- Alrabaiah, Hussam: Approximate solution of Fornberg-Whitham equation by modified homotopy perturbation method under non-singular fractional derivative (2022)
- Alrabaiah, Hussam; Rahman, Mati Ur; Mahariq, Ibrahim; Bushnaq, Samia; Arfan, Muhammad: Fractional order analysis of HBV and HCV co-infection under ABC derivative (2022)
- Amendola, Giovanni; Greco, Gianluigi; Veltri, Pierfrancesco: Answers set programs for non-transferable utility games: expressiveness, complexity and applications (2022)
- 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)
- Arnold, Anton; Klein, Christian; Ujvari, Bernhard: WKB-method for the 1D Schrödinger equation in the semi-classical limit: enhanced phase treatment (2022)
- Badar, Altaf Q. H.: Evolutionary optimization algorithms (2022)
- Bai, Yang; Du, Xiaolong; Hamada, Yuta: Diluted axion star collisions with neutron stars (2022)