header
Local cover image
Local cover image
Image from OpenLibrary

A derivative - free trust region optimization method using quadratic approximation : With applications in stochastic optimization / Aya Tollah Moustafa Saber Moustafa Aboudina ; Supervised Hany L. Abdelmalek , Abdelkarim S. Hassan , Azza Adel Ahmed Rabie

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Aya Tollah Moustafa Saber Moustafa Aboudina , 2010Description: 155P. : charts ; 30cmOther title:
  • طريقة امثلية غير تفاضلية بمنطقة ثقة باستخدام تقريب تربيعى : مع تطبيقاتها فى الامثلية العشوائية [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: In this thesis a new derivative - free trust region optimization method is proposed in which the objective function is approximated via convex quadratic models . Each model is optimized within a trust region instead of the computationally expensive objective function . The proposed method requires a few number of function evaluations for building the initial model
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
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.2010.Ay.D (Browse shelf(Opens below)) Not for loan 01010110053802000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.M.Sc.2010.Ay.D (Browse shelf(Opens below)) 53802.CD Not for loan 01020110053802000

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

In this thesis a new derivative - free trust region optimization method is proposed in which the objective function is approximated via convex quadratic models . Each model is optimized within a trust region instead of the computationally expensive objective function . The proposed method requires a few number of function evaluations for building the initial model

Issued also as CD

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image