A Framework for Symbolic Programming in Mathematical Problem Solving

Symbolic programming languages, their applications, advantages, and disadvantages were defined. The main stages of working with these languages: tokenization, parsing, and evaluation were considered. The process of developing new symbolic programming languages, detailing the essential components and design principles involved was explored. The usage of these newly created languages in solving basic mathematical problems was demonstrated.

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Published
2024-10-16
DOI
https://doi.org/10.1109/csit65290.2024.10982681
Primary Topic
Evolutionary Algorithms and Applications
Type
article
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article

A Framework for Symbolic Programming in Mathematical Problem Solving

Elvira Dzhumelia, Artem Marushchak
Evolutionary Algorithms and Applications
article

A Framework for Symbolic Programming in Mathematical Problem Solving

Elvira Dzhumelia, Artem Marushchak
article en

Abstract

Symbolic programming languages, their applications, advantages, and disadvantages were defined. The main stages of working with these languages: tokenization, parsing, and evaluation were considered. The process of developing new symbolic programming languages, detailing the essential components and design principles involved was explored. The usage of these newly created languages in solving basic mathematical problems was demonstrated.

Lviv Polytechnic National University (UA)
Openalex Percentile: Top 73%
Evolutionary Algorithms and Applications
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A Framework for Symbolic Programming in Mathematical Problem Solving — Elvira Dzhumelia, Artem Marushchak · (2024) | TGRS Research Map | TGRS