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dc.contributor.authorDennis, J.E. Jr.
dc.date.accessioned 2018-06-18T17:23:12Z
dc.date.available 2018-06-18T17:23:12Z
dc.date.issued 1983-08
dc.identifier.citation Dennis, J.E. Jr.. "A User's Guide to Nonlinear Optimization Algorithms." (1983) https://hdl.handle.net/1911/101560.
dc.identifier.urihttps://hdl.handle.net/1911/101560
dc.description.abstract The purpose of this paper is to provide a user's introduction to the basic ideas currently favored in nonlinear optimization routines by numerical analysts. The primary focus will be on the unconstrained problem because the main ideas are much more settled. Although this is not a paper about nonlinear least squares, the rich structure of this important practical problem makes it a convenient example to use to illustrate the ideas we will discuss. We will make most use of this example in the first three sections which deal with the helpful concept of a local modeling technique and the attendant local convergence analysis. Stress will be put on ways used to improve a poor initial solution estimate since this is one of the keys to choosing the most suitable routine for a particular application. This material is covered in the rather long Section 4. the discussion of the constrained problem in Section 5 will be a brief outline of the current issues involved in deciding what algorithms to implement. Section 6 is devoted to some concluding remarks including sparse comments on large problems.
dc.format.extent 36 pp
dc.title A User's Guide to Nonlinear Optimization Algorithms
dc.type Technical report
dc.date.note August 1983 (Revised June 1984)
dc.identifier.digital TR83-19
dc.type.dcmi Text


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