Conic optimization with applications on classification and analog fault diagnosis / Ahmad Atef Ibrahim Ibrahim ; Supervised Abdelkarim S. O. Hassan , Mohamed A. Elgamal

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Ahmad Atef Ibrahim Ibrahim

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TextLanguage: English Publication details: Cairo : Ahmad Atef Ibrahim Ibrahim , 2011Description: 115 P. : charts ; 30cmOther title:

الأمثلية المخروطية مع تطبيقاتها في التصنيف و تشخيص الأعمال في الدوائر الكهربية [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics Summary: Conic optimization is a branch of mathematical programming dealing with optimization problems involving linear objective function over the intersection of an affine subspace with a proper cone. The importance of conic programming arises from two main reasons: on one hand, it is used to model or to relax optimization problems that appear in a wide variety of applications, such as control theory, pattern recognition, classification and fault diagnosis

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.10.M.Sc.2011.Ah.C (Browse shelf(Opens below))		Not for loan		01010110057067000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.10.M.Sc.2011.Ah.C (Browse shelf(Opens below))	57067.CD	Not for loan		01020110057067000

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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics

Conic optimization is a branch of mathematical programming dealing with optimization problems involving linear objective function over the intersection of an affine subspace with a proper cone. The importance of conic programming arises from two main reasons: on one hand, it is used to model or to relax optimization problems that appear in a wide variety of applications, such as control theory, pattern recognition, classification and fault diagnosis

Issued also as CD

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