Data Completion

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：danshenguizu920

【摘要】

：

　　The lagged steepest descent(LSD)method for convex quadratics challenges basic notions in PDE discretization and general orderly convergence.It is chaotic,it

【作者】

：

AscherUri;

【机构】

：

Univ.of BC

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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论文部分内容阅读

　　The lagged steepest descent(LSD)method for convex quadratics challenges basic notions in PDE discretization and general orderly convergence.It is chaotic,it occasionally takes steps that cannot be too small,and its convergence rate remains unproved.More in the talk.

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Data Completion

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