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MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
GNU Octave is a scientific programming language for scientific computing and numerical computation.Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.
ExtendSim - simulation software for discrete event, continuous, discrete rate and agent-based simulation. FEATool Multiphysics - finite element physics and PDE simulation toolbox for MATLAB. Flexsim - discrete event simulation software. Flood Modeller - hydraulic simulation software, used to model potential flooding risk for engineering purposes.
FreeMat is a free open-source numerical computing environment and programming language, [1] similar to MATLAB and GNU Octave. [2] In addition to supporting many MATLAB functions and some IDL functionality, it features a codeless interface to external C, C++, and Fortran code, further parallel distributed algorithm development (via MPI), and has plotting and 3D visualization capabilities. [3]
Simulink is a MATLAB-based graphical programming environment for modeling, simulating and analyzing multidomain dynamical systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries. It offers tight integration with the rest of the MATLAB environment and can either drive MATLAB or be scripted ...
Little and Steve Bangert rewrote the code for MATLAB in C while they were colleagues at an engineering firm. [3] [5] They founded MathWorks along with Moler in 1984, [5] with Little running it out of his house in Portola Valley, California. [6] Little would mail diskettes in baggies (food storage bags) to the first customers. [7]
The Robotics Toolbox for Python is a reimplementation of the Robotics Toolbox for MATLAB for Python 3. [7] [8] Its functionality is a superset of the Robotics Toolbox for MATLAB, the programming model is similar, and it supports additional methods to define a serial link manipulator including URDF and elementary transform sequences.
DIDO is primarily available as a stand-alone MATLAB optimal control toolbox. [29] That is, it does not require any third-party software like SNOPT or IPOPT or other nonlinear programming solvers. [1] In fact, it does not even require the MATLAB Optimization Toolbox. The MATLAB/DIDO toolbox does not require a "guess" to run the algorithm.