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Optimal design of photonic crystal structures / Mahmoud Mohamed Taha Abdallah Maghrabi ; Supervised Abdelkarim S. O. Hassan , Nadia H. Rafat , Ahmed S. A. Mohamed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mahmoud Mohamed Taha Abdallah Maghrabi , 2014Description: 127 P. : charts , facsimiles ; 30cmOther title:
  • التصميم الأمثل لهياكل البلورات الضوئية [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics Summary: This thesis proposes two novel optimization approaches for achieving the optimal design of 1D photonic crystals. The {uFB01}rst approach is based on minimax criterion where nominal values of designable parameters are varied to best satisfy design speci{uFB01}cations. The second approach is based on design centering criterion, in which the objective is to maximize the probability of satisfying design speci{uFB01}cations. Two practical examples are given to demonstrate {uFB02}exibility and e{uFB03}ciency of the approaches
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.M.Sc.2014.Ma.O (Browse shelf(Opens below)) Not for loan 01010110065603000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.M.Sc.2014.Ma.O (Browse shelf(Opens below)) 65603.CD Not for loan 01020110065603000

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

This thesis proposes two novel optimization approaches for achieving the optimal design of 1D photonic crystals. The {uFB01}rst approach is based on minimax criterion where nominal values of designable parameters are varied to best satisfy design speci{uFB01}cations. The second approach is based on design centering criterion, in which the objective is to maximize the probability of satisfying design speci{uFB01}cations. Two practical examples are given to demonstrate {uFB02}exibility and e{uFB03}ciency of the approaches

Issued also as CD

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