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Enhancing Understanding and Constructing Knowledge in Graph Theory and Combinatorial Optimization within the "Graphs" multimedia application

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F09%3A00002486" target="_blank" >RIV/62690094:18450/09:00002486 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhancing Understanding and Constructing Knowledge in Graph Theory and Combinatorial Optimization within the "Graphs" multimedia application

  • Original language description

    The Theory of Graphs together with Combinatorial Optimization is a wonderful, practical discipline. On the one hand, there are many methods which can be used to solve the same problem, while on the other hand, using effective modifications of one algorithm, we can devise methods for solving various other tasks. To educate students in this area it is important to familiarize them with certain algorithms in context, in order to get deeper into each problem and understand it entirely. In this paper we present just a few ideas that have proved successful in teaching and learning this part of mathematics using the program "Graphs", whose main purpose is to visually represent basic graph-concepts and graph-algorithms using a coloring process on graphs created within the program.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    The electronic journal of mathematics and technology

  • ISSN

    1933-2823

  • e-ISSN

  • Volume of the periodical

    3

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database