Fast Methods for Solving High Accuracy Surface Modeling

High accuracy surface modeling (HASM) is a novel surface modeling method. The well known preconditioned conjugate gradient (PCG) method is used to solve the equations produced by HASM. In this paper, in order to improve the convergence rate of PCG, we use two preconditioners: incomplete Cholesky dec...

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Main Authors: Na Zhao, Tian Xiang Yue
Format: Article
Language:English
Published: SAGE Publishing 2013-06-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1260/1748-3018.7.2.187
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author Na Zhao
Tian Xiang Yue
author_facet Na Zhao
Tian Xiang Yue
author_sort Na Zhao
collection DOAJ
description High accuracy surface modeling (HASM) is a novel surface modeling method. The well known preconditioned conjugate gradient (PCG) method is used to solve the equations produced by HASM. In this paper, in order to improve the convergence rate of PCG, we use two preconditioners: incomplete Cholesky decomposition conjugate gradient method (ICCG) and symmetric successive over relaxation-preconditioned conjugate gradient method (SSORCG), which have not previously been available for use with HASM. Furthermore, we give adequate storage scheme of the large sparse matrix and optimize the performance of sparse matrix-vector multiplication. We test the proposed method on a Dell OP990 machine. Numerical tests show that ICCG has the fastest convergence rate of HASM. We also find that both ICCG and SSORCG have much faster convergence rates than some available solvers.
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spelling doaj.art-52b30ac6c5cd43f7b91bfa62bafaf4e92022-12-21T22:46:03ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262013-06-01710.1260/1748-3018.7.2.187Fast Methods for Solving High Accuracy Surface ModelingNa ZhaoTian Xiang Yue0 Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101High accuracy surface modeling (HASM) is a novel surface modeling method. The well known preconditioned conjugate gradient (PCG) method is used to solve the equations produced by HASM. In this paper, in order to improve the convergence rate of PCG, we use two preconditioners: incomplete Cholesky decomposition conjugate gradient method (ICCG) and symmetric successive over relaxation-preconditioned conjugate gradient method (SSORCG), which have not previously been available for use with HASM. Furthermore, we give adequate storage scheme of the large sparse matrix and optimize the performance of sparse matrix-vector multiplication. We test the proposed method on a Dell OP990 machine. Numerical tests show that ICCG has the fastest convergence rate of HASM. We also find that both ICCG and SSORCG have much faster convergence rates than some available solvers.https://doi.org/10.1260/1748-3018.7.2.187
spellingShingle Na Zhao
Tian Xiang Yue
Fast Methods for Solving High Accuracy Surface Modeling
Journal of Algorithms & Computational Technology
title Fast Methods for Solving High Accuracy Surface Modeling
title_full Fast Methods for Solving High Accuracy Surface Modeling
title_fullStr Fast Methods for Solving High Accuracy Surface Modeling
title_full_unstemmed Fast Methods for Solving High Accuracy Surface Modeling
title_short Fast Methods for Solving High Accuracy Surface Modeling
title_sort fast methods for solving high accuracy surface modeling
url https://doi.org/10.1260/1748-3018.7.2.187
work_keys_str_mv AT nazhao fastmethodsforsolvinghighaccuracysurfacemodeling
AT tianxiangyue fastmethodsforsolvinghighaccuracysurfacemodeling