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A Trust region approach with multivariate padé model for the optimization of regular and fractional order circuits / Shaimaa Ebid Kamel Ebid ; Supervised Hany L. Abdelmalek , Ahmed S. A. Mohamed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Shaimaa Ebid Kamel Ebid , 2016Description: 104 P. : charts ; 30cmOther title:
  • متعدد المتغيرات لأمثلية دوائر معتادة و كسرية الدرجة padeمنهج منطقة ثقة بنموذج بادىّ [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics Summary: A new model based on Padé approximation for trust region optimization is proposed, tested and compared with the commonly used quadratic model. Sensitivity of output voltage is derived using a matrix approach. This approach allows getting the expressions for the output voltage sensitivity to fractional order powers. Yield is maximized using the proposed derivative free optimization method (DFO) with a reduced computational effort. A starting minimax point using gradient optimization technique reduces the required number of yield evaluations to achieve the optimum
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.M.Sc.2016.Sh.T (Browse shelf(Opens below)) Not for loan 01010110070440000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.M.Sc.2016.Sh.T (Browse shelf(Opens below)) 70440.CD Not for loan 01020110070440000

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

A new model based on Padé approximation for trust region optimization is proposed, tested and compared with the commonly used quadratic model. Sensitivity of output voltage is derived using a matrix approach. This approach allows getting the expressions for the output voltage sensitivity to fractional order powers. Yield is maximized using the proposed derivative free optimization method (DFO) with a reduced computational effort. A starting minimax point using gradient optimization technique reduces the required number of yield evaluations to achieve the optimum

Issued also as CD

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