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Given a system transforming a set of inputs to output values, described by a mathematical function f, optimization refers to the generation and selection of the best solution from some set of available alternatives, [1] by systematically choosing input values from within an allowed set, computing the value of the function, and recording the best value found during the process.
Mathematica [6] General purpose computation software. Wolfram Research: 14.1.0 (July 31, 2024; 5 months ago (7] Regularly: Proprietary: Linux, Mac OS X, Windows, Raspbian, Online service. MATLAB Partial Differential Equation Toolbox: MATLAB Toolbox for solving structural, thermal, electromagnetics, and other general PDEs: MathWorks: 3.3 (R2019b)
Wolfram Language which is used within many Wolfram technologies such as Mathematica and the Wolfram Cloud; World Programming System (WPS), supports mixing Python, R and SAS languages in a single-user program for statistical analysis and data manipulation; Yorick is an interpreted programming language designed for numerics, graph plotting and ...
The Wolfram Language was part of the initial version of Mathematica in 1988. [11] Symbolic aspects of the engine make it a computer algebra system. The language can perform integration, differentiation, matrix manipulations, and solve differential equations using a set of rules.
Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...
Figure 2. Xcas can solve equations, calculate derivatives, antiderivatives and more. Figure 3. Xcas can solve differential equations. Xcas is a user interface to Giac, which is an open source [2] computer algebra system (CAS) for Windows, macOS and Linux among many other platforms. Xcas is written in C++. [3]
The primary difference between a computer algebra system and a traditional calculator is the ability to deal with equations symbolically rather than numerically. The precise uses and capabilities of these systems differ greatly from one system to another, yet their purpose remains the same: manipulation of symbolic equations.
Spectral methods can be used to solve differential equations (PDEs, ODEs, eigenvalue, etc) and optimization problems. When applying spectral methods to time-dependent PDEs, the solution is typically written as a sum of basis functions with time-dependent coefficients; substituting this in the PDE yields a system of ODEs in the coefficients ...