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- Newsgroups: sci.physics
- Path: sparky!uunet!mcsun!sun4nl!sci.kun.nl!alexp
- From: alexp@sci.kun.nl (Alex Priem)
- Subject: Re: Functional minimization with constraints
- Message-ID: <C0pFE0.D8n@sci.kun.nl>
- Keywords: conjugate gradient, quasi-Newton, Newton Raphson
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- Organization: University of Nijmegen, The Netherlands
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- References: <1993Jan9.010623.27893@leland.Stanford.EDU> <1466@kepler1.rentec.com>
- Date: Mon, 11 Jan 1993 19:27:36 GMT
- Lines: 21
-
- In <1466@kepler1.rentec.com> andrew@rentec.com (Andrew Mullhaupt) writes:
-
- >In article <1993Jan9.010623.27893@leland.Stanford.EDU> edremy@leland.Stanford.EDU (eric remy) writes:
- >>Does anyone know of a good reference work for problems involving
- >>functional minimization with non-linear constraints?
-
- >Check Gill Murray and Wright's _Practical Optimization_, L. E. Scales
- >_Linear and Nonlinear Optimization_. Both have decision charts for selecting
- >methods. Fancy methods are best used off the shelf rather than programming
- >them yourself, unless you inform yourself very carefully and have some
- >peculiar requirement.
-
- >For a more theoretical book, I suggest Avriel's book the title of which
- >escapes me at the moment.
-
- Better yet, try 'Numerical Recipes'.
-
- >Later,
- >Andrew Mullhaupt
-
- Greetings, ALeX
-