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Title: E-learning technologies: employing Matlab web server to facilitate the education of mathematical programming
Authors: Karagiannis, P.
Markelis, I.
Paparrizos, Konstantinos
Samaras, Nikolaos
Sifaleras, Angelo
Type: Article
Subjects: FRASCATI::Natural sciences::Mathematics::Applied Mathematics
FRASCATI::Natural sciences::Computer and information sciences
Keywords: Combinatorial Optimization
Assignment Problem
Exterior Point Algorithm
Initialization Methods
Computational Evaluation
Issue Date: 2006
Publisher: Taylor & Francis
Source: International Journal of Mathematical Education in Science and Technology
Volume: 37
Issue: 7
First Page: 765
Last Page: 782
Abstract: This paper presents new web-based educational software (webNetPro) for Linear Network Programming. It includes many algorithms for Network Optimization problems, such as shortest path problems, minimum spanning tree problems, maximum flow problems and other search algorithms. Therefore, webNetPro can assist the teaching process of courses such as Graph Theory or Network Optimization, Algorithms or Data Structures. Since the Matlab web server is part of the underlying infrastructure, the end user need not use Matlab directly. The approach exploits transparently the benefits of the Matlab programming environment through a straightforward web interface. Furthermore, webNetPro is platform independent. Thus, it can be viewed as a powerful supplement to traditional instruction techniques and can be used without significant difficulties in distance education. Benefits and drawbacks are thoroughly described in order to support the significance of this tool in distance learning.
ISSN: 0020-739X
Other Identifiers: 10.1080/00207390600723551
Appears in Collections:Department of Applied Informatics

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