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Related papers: MathPartner Computer Algebra

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The article provides a brief description of the MathPartner service. This freely available cloud-based Mathematics is a universal system for symbolic-numeric calculations. Its Mathpar language is a subset of the LaTeX language, but allows…

History and Overview · Mathematics 2025-05-08 Gennadi Malaschonok , Roman Sakh

In a broad sense, artificial intelligence is a service to find a solution to complex intellectual problems. In this sense, the MathPartner service provides artificial intelligence that allows us to formulate questions and receive answers to…

Symbolic Computation · Computer Science 2025-01-10 Gennadi Malaschonok , Alexandr Seliverstov

Over the last few decades, many distinct lines of research aimed at automating mathematics have been developed, including computer algebra systems (CASs) for mathematical modelling, automated theorem provers for first-order logic, SAT/SMT…

Logic in Computer Science · Computer Science 2019-09-18 Curtis Bright , Ilias Kotsireas , Vijay Ganesh

Symbolic integration is an important module of a typical Computer Algebra System. As for now, Mathematica, Matlab, Maple and Sage are all mainstream CAS. They share the same framework for symbolic integration at some points. In this book…

Symbolic Computation · Computer Science 2013-09-27 Weiguang Mao

Information technologies for studying physical-mathematical disciplines on base of mathematical modeling in the computer algebra system Maple are described.

Physics Education · Physics 2014-10-17 Yurii Ignat'ev , Alsu Samigullina

This article introduces and explains a computer algebra system (CAS) wxMaxima for Calculus teaching and learning at the tertiary level. The didactic reasoning behind this approach is the need to implement an element of technology into…

History and Overview · Mathematics 2021-09-29 N. Karjanto , H. S. Husain

As dynamic and control systems become more complex, relying purely on numerical computations for systems analysis and design might become extremely expensive or totally infeasible. Computer algebra can act as an enabler for analysis and…

Systems and Control · Computer Science 2018-01-01 Masoud Abbaszadeh

The capability of R to do symbolic mathematics is enhanced by the caracas package. This package uses the Python computer algebra library SymPy as a back-end but caracas is tightly integrated in the R environment, thereby enabling the R user…

Applications · Statistics 2021-04-20 Mikkel Meyer Andersen , Søren Højsgaard

Quantum computations operate in the quantum world. For their results to be useful in any way, there is an intrinsic necessity of cooperation and communication controlled by the classical world. As a consequence, full formal descriptions of…

Quantum Physics · Physics 2007-05-23 Philippe Jorrand , Marie Lalire

Document preparation systems like LaTeX offer the ability to render mathematical expressions as one would write these on paper. Using LaTeX, LaTeXML, and tools generated for use in the National Institute of Standards (NIST) Digital Library…

The report is devoted to the current state of the MathPartner computer algebra web project. We discuss the main directions of development of the project and give several examples of using it to solve selected problems.

Symbolic Computation · Computer Science 2022-06-16 Gennadi Malaschonok , Ivan Borisov

In CAGD/CAD research and education, users are involved with development of mathematical algorithms and followed by the analysis of the resultant algorithm. This process involves geometric display which can only be carried out with high end…

Computers and Society · Computer Science 2013-03-15 R. U. Gobithaasan , M. A Jamaludin

I describe a method for computer algebra that helps with laborious calculations typically encountered in theoretical microhydrodynamics. The program mimics how humans calculate by matching patterns and making replacements according to the…

Fluid Dynamics · Physics 2017-08-22 Jonas Einarsson

MATLAB has emerged as one of the languages most commonly used by scientists and engineers for technical computing, with ~1,000,000 users worldwide. The compute intensive nature of technical computing means that many MATLAB users have codes…

Astrophysics · Physics 2015-05-26 Nadya Bliss , Jeremy Kepner

In this paper, the author present a reliable symbolic computational algorithm for inverting a general comrade matrix by using parallel computing along with recursion. The computational cost of our algorithm is O(n^2). The algorithm is…

Symbolic Computation · Computer Science 2012-10-18 A. A. Karawia

We implement a user-extensible ad hoc connection between the Lean proof assistant and the computer algebra system Mathematica. By reflecting the syntax of each system in the other and providing a flexible interface for extending…

Logic in Computer Science · Computer Science 2021-01-20 Robert Y. Lewis , Minchao Wu

Geometric algebra (GA) is a mathematical tool for geometric computing, providing a framework that allows a unified and compact approach to geometric relations which in other mathematical systems are typically described using different more…

Mathematical Software · Computer Science 2025-05-09 Manel Velasco , Isiah Zaplana , Arnau Dória-Cerezo , Pau Martí

In the present paper, we describe some experiences in using programming, commands and graphical interfaces based on computer algebra systems, as tools for learning Physics and Mathematics.

Physics Education · Physics 2014-01-08 Danilo T. Alves , Silvio C. F. Pereira Filho

The capability of R to do symbolic mathematics is enhanced by the caracas package. This package uses the Python computer algebra library SymPy as a back-end but caracas is tightly integrated in the R environment. This enables the R user…

Applications · Statistics 2023-08-22 Mikkel Meyer Andersen , Søren Højsgaard

Linear algebra algorithms often require some sort of iteration or recursion as is illustrated by standard algorithms for Gaussian elimination, matrix inversion, and transitive closure. A key characteristic shared by these algorithms is that…

Computational Complexity · Computer Science 2020-10-27 Floris Geerts , Thomas Muñoz , Cristian Riveros , Domagoj Vrgoč
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