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This category is not shown on its member pages unless the appropriate user preference (appearance → show hidden categories) is set. Pages in category "Articles with example MATLAB/Octave code" The following 40 pages are in this category, out of 40 total.
Basically, object code for the language's interpreter needs to be linked into the executable. Source code fragments for the embedded language can then be passed to an evaluation function as strings. Application control languages can be implemented this way, if the source code is input by the user. Languages with small interpreters are preferred.
This category is for articles which include reference implementations of algorithms, or compilable examples of programming constructs, either in real-world programming languages or in pseudocode. Note to editors: Please do not add any more subcategories to this page without carefully considering whether the articles in the new category might ...
MATLAB is a weakly typed programming language because types are implicitly converted. [35] It is an inferred typed language because variables can be assigned without declaring their type, except if they are to be treated as symbolic objects, [ 36 ] and that their type can change.
VisSim - system simulation and optional C-code generation of electrical, process, control, bio-medical, mechanical and UML State chart systems. Vortex (software) - a complete simulation platform featuring a realtime physics engine for rigid body dynamics, an image generator, desktop tools (Editor and Player) and more. Also available as Vortex ...
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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 ...
In applied mathematics, test functions, known as artificial landscapes, are useful to evaluate characteristics of optimization algorithms, such as convergence rate, precision, robustness and general performance.