OPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD

Constrained optimization is an optimization process that used to optimizing either minimize or maximize value of objective function that holds the constrains. In this final assignment will discuss about minimizing value of objective function on ball boundary with nonmonotone gradient projection meth...

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Main Author: MARWANSYAH (10110084), DEDI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/21625
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:21625
spelling id-itb.:216252017-09-27T11:43:13ZOPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD MARWANSYAH (10110084), DEDI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/21625 Constrained optimization is an optimization process that used to optimizing either minimize or maximize value of objective function that holds the constrains. In this final assignment will discuss about minimizing value of objective function on ball boundary with nonmonotone gradient projection method, and its objective function is a quadratic convex function. On this method, every point x that generated every iteration will be projected on ball boundary. This nonmonotone gradient projection method used barzilai – borwein method to find descent search direction, and used adaptive two-point stepsize gradient method to find value of reference function. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Constrained optimization is an optimization process that used to optimizing either minimize or maximize value of objective function that holds the constrains. In this final assignment will discuss about minimizing value of objective function on ball boundary with nonmonotone gradient projection method, and its objective function is a quadratic convex function. On this method, every point x that generated every iteration will be projected on ball boundary. This nonmonotone gradient projection method used barzilai – borwein method to find descent search direction, and used adaptive two-point stepsize gradient method to find value of reference function.
format Final Project
author MARWANSYAH (10110084), DEDI
spellingShingle MARWANSYAH (10110084), DEDI
OPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD
author_facet MARWANSYAH (10110084), DEDI
author_sort MARWANSYAH (10110084), DEDI
title OPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD
title_short OPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD
title_full OPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD
title_fullStr OPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD
title_full_unstemmed OPTIMALIZATION ON BALL BOUNDARY WITH NONMONOTONE GRADIENT PROJECTION METHOD
title_sort optimalization on ball boundary with nonmonotone gradient projection method
url https://digilib.itb.ac.id/gdl/view/21625
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