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Symbolic circuit analysis is a formal technique of circuit analysis to calculate the behaviour or characteristic of an electric/electronic circuit with the independent variables (time or frequency), the dependent variables (voltages and currents), and (some or all of) the circuit elements represented by symbols.
SymbolicC++ is described in a series of books on computer algebra. The first book [5] described the first version of SymbolicC++. In this version the main data type for symbolic computation was the Sum class. The list of available classes included Verylong : An unbounded integer implementation; Rational : A template class for rational numbers
At the time, the methods employed to design logic circuits (for example, contemporary Konrad Zuse's Z1) were ad hoc in nature and lacked the theoretical discipline that Shannon's paper supplied to later projects. Shannon's work also differered significantly in its approach and theoretical framework compared to the work of Akira Nakashima.
Variables are defined using the assignment operator, =. 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.
Symbolic Math Toolbox MathWorks: 1989 2008 2024b: 2024: $3,150 (Commercial), $99 (Student Suite), $700 (Academic), $194 (Home) including price of MATLAB. Proprietary: Provides tools for solving and manipulating symbolic math expressions and performing variable-precision arithmetic. SymPy: Ondřej Čertík 2006 2007 1.13.2: 11 August 2024: Free
Symbolic differentiation faces the difficulty of converting a computer program into a single mathematical expression and can lead to inefficient code. Numerical differentiation (the method of finite differences) can introduce round-off errors in the discretization process and cancellation.
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.
Symbolic data analysis (SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called symbolic since they are more complex than standard ones, as they not only contain values or categories, but also include internal variation and structure.