Examples of using Symbolic computation in English and their translations into Serbian
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Journal of Symbolic Computation.
Symbolic computation packages.
Support for complex numbers,arbitrary precision and symbolic computation.
Symbolic computation packages.
Algorithmic languages Algorithmic languages are designed to express mathematical or symbolic computations.
Some authors use symbolic computation for the computer science aspect of the subject and"computer algebra" for the mathematical aspect.
Support for complex number, arbitrary precision arithmetic,interval arithmetic, and symbolic computation.
But computers can manipulate andsolve formulas describing real numbers using symbolic computation, thus avoiding the need to approximate real numbers by using an infinite number of digits.
Symbolic computation has also been referred to, in the past, as symbolic manipulation, algebraic manipulation, symbolic processing, symbolic mathematics, or symbolic algebra, but these terms, which also refer to non-computational manipulation, are no longer used in reference to computer algebra.
There is support for numeric computations, to arbitrary precision,as well as symbolic computation and visualization.
Some authors distinguish computer algebra from symbolic computation using the latter name to refer to kinds of symbolic computation other than the computation with mathematical formulas.
There are several journals specializing in computer algebra,the top one being Journal of Symbolic Computation founded in 1985 by Bruno Buchberger.
Computer algebra, also called symbolic computation or algebraic computation is a scientific area that refers to the study and development of algorithms and software for manipulating mathematical expressions and other mathematical objects.
Eventually, the company evolved to have an R&D department where most of Maple's development is done today with the rest done at university research labs worldwide including: the Symbolic Computation Laboratory at the University of Waterloo and the Ontario Research Centre for Computer Algebra at the University of Western Ontario.
Algebraic biology(also known as symbolic systems biology)applies the algebraic methods of symbolic computation to the study of biological problems, especially in genomics, proteomics, analysis of molecular structures and study of genes.
OE4PSA- Practicum in Software Tools for Electronics Course specificationPracticum in Software Tools for Electronics AcronymTo teach students to use software in their everyday electronics practice. The outcomeStudents will be trained to use GNU/Linux, to process their texts, to draw circuit diagrams, to plot functions,to use numerical analysis and symbolic computation packages, and to program in Python. ContentsContents of lecturesSoftware, licensing, proprietary and free software.
Although, properly speaking, computer algebra should be a subfield of scientific computing, they are generally considered as distinct fields because scientific computing is usually based on numerical computation with approximate floating point numbers, while symbolic computation emphasizes exact computation with expressions containing variables that have not any given value andare thus manipulated as symbols(therefore the name of symbolic computation).
E042PSA- Practicum in Software Tools for Electronics Course specificationPracticum in Software Tools for Electronics AcronymTo teach students to use software in their everyday electronics practice. The outcomeStudents will be trained to use GNU/Linux, to process their texts, to draw circuit diagrams, to plot functions,to use numerical analysis and symbolic computation packages, and to program in Python. ContentsContents of lecturesSoftware, licensing, proprietary and free software.
Free and open-source software portal Comparison of computer algebra systems Pinkus, Ayal Z.; Winitzki, Serge(2002),"Yacas: A Do-It-Yourself Symbolic Algebra Environment", Artificial Intelligence,Automated Reasoning, and Symbolic Computation, Lecture Notes in Computer Science, 2385, Springer, pp. 332- 336 Filip, Xenia; Filip, Claudiu(2010).
Although, properly speaking, computer algebra should be a subfield of scientific computing,they are generally considered as distinct fields because scientific computing is usually based on numerical computation with approximate floating point numbers, while symbolic computation emphasizes exact computation with expressions containing variables that have no given value and are manipulated as symbols.