Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server

Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server

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Bibliographic Details
Main Author: Mohamad Hamzah, Amizah
Format: Thesis
Published: 2009
Subjects:
QA Mathematics
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id my-utm-ep.18601
record_format uketd_dc
spelling my-utm-ep.186012011-11-18T04:35:38Z Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server 2009-00 Mohamad Hamzah, Amizah QA Mathematics 2009-00 Thesis http://eprints.utm.my/id/eprint/18601/ masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA Mathematics
spellingShingle QA Mathematics
Mohamad Hamzah, Amizah
Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server
description
format Thesis
qualification_level Master's degree
author Mohamad Hamzah, Amizah
author_facet Mohamad Hamzah, Amizah
author_sort Mohamad Hamzah, Amizah
title Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server
title_short Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server
title_full Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server
title_fullStr Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server
title_full_unstemmed Two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server
title_sort two-dimensional elliptic equation for breast cancer detection using high performance matlab distributed computing server
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2009
_version_ 1747815315039846400

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