Article View: sci.math.num-analysis
Article #931function minimization
From: Kwok Tin Yau
Date: Wed, 16 Dec 1992 15:35
Date: Wed, 16 Dec 1992 15:35
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1022 bytes
Hi,
In function minimization problems using gradient descent
method (with/without derivative information), is there any
relation between the rate of convergence and the dimension of
the problem in general? Can anyone suggest any references at
the pros and cons of using gradient descent method in minimization
problems?
Thanks a lot.
---
James Kwok | The Hong Kong University of |
Internet: jamesk@uxmail.ust.hk | Science and Technology |
| Department of Computer Science |
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<1992Dec16.153534.6441@uxmail.ust.hk>Path:
arc1-ca.pugleaf.net!sparky!uunet!spool.mu.edu!sdd.hp.com!saimiri.primate.wisc.edu!hp9000.csc.cuhk.hk!uxmail!cssu3!jameskShow Full Headers
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Newsgroups: sci.math.num-analysis Path: arc1-ca.pugleaf.net!sparky!uunet!spool.mu.edu!sdd.hp.com!saimiri.primate.wisc.edu!hp9000.csc.cuhk.hk!uxmail!cssu3!jamesk From: jamesk@ust.hk (Kwok Tin Yau) Subject: function minimization Message-ID: <1992Dec16.153534.6441@uxmail.ust.hk> Sender: usenet@uxmail.ust.hk (usenet account) Reply-To: jamesk@ust.hk Organization: Hong Kong University of Science and Technology Date: Wed, 16 Dec 1992 15:35:34 GMT Lines: 15