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  2. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    Variables are defined using the assignment operator, =. MATLAB is a weakly typed programming language because types are implicitly converted. [39] 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, [40] and that their type can change.

  3. Symbolic regression - Wikipedia

    en.wikipedia.org/wiki/Symbolic_regression

    Symbolic regression (SR) is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given dataset, both in terms of accuracy and simplicity.

  4. SymPy - Wikipedia

    en.wikipedia.org/wiki/SymPy

    SymPy is an open-source Python library for symbolic computation. It provides computer algebra capabilities either as a standalone application, as a library to other applications, or live on the web as SymPy Live [2] or SymPy Gamma. [3] SymPy is simple to install and to inspect because it is written entirely in Python with few dependencies.

  5. QLattice - Wikipedia

    en.wikipedia.org/wiki/QLattice

    The QLattice is a software library which provides a framework for symbolic regression in Python.It works on Linux, Windows, and macOS.The QLattice algorithm is developed by the Danish/Spanish AI research company Abzu. [1]

  6. TomSym - Wikipedia

    en.wikipedia.org/wiki/TomSym

    TomSym is complete modeling environment in Matlab with support for most built-in mathematical operators in Matlab. It is a combined modeling, compilation and interface to the TOMLAB solvers. The matrix derivative of a matrix function is a fourth rank tensor - that is, a matrix each of whose entries is a matrix. Rather than using four ...

  7. Maple (software) - Wikipedia

    en.wikipedia.org/wiki/Maple_(software)

    Maple is a symbolic and numeric computing environment as well as a multi-paradigm programming language. It covers several areas of technical computing, such as symbolic mathematics, numerical analysis, data processing, visualization, and others. A toolbox, MapleSim, adds functionality for multidomain physical modeling and code generation.

  8. Symbolic execution - Wikipedia

    en.wikipedia.org/wiki/Symbolic_execution

    In computer science, symbolic execution (also symbolic evaluation or symbex) is a means of analyzing a program to determine what inputs cause each part of a program to execute. An interpreter follows the program, assuming symbolic values for inputs rather than obtaining actual inputs as normal execution of the program would.

  9. Symbolic integration - Wikipedia

    en.wikipedia.org/wiki/Symbolic_integration

    In calculus, symbolic integration is the problem of finding a formula for the antiderivative, or indefinite integral, of a given function f(x), i.e. to find a formula for a differentiable function F(x) such that