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An Application of Linear Programming to Curve Fitting

An application of linear programming to curve fitting
Authors: Kelley, James E. jun.;

An Application of Linear Programming to Curve Fitting

Abstract

Property (a) makes the problem meaningful, since the norm is bounded below by zero. Interestingly, properties (b) and (c) imply that the norm is a convex function of h, a fact easily shown. Thus, the theory of approximations of the type illustrated above reduces to a theory of finding minima of convex functions. Such a theory has been under considerable development during the past few years, particularly in applications to linear programming and games. However, little explicit application of this theory has been made to approximation problems. Of most practical interest in the present context are norms of the form

Keywords

mathematical biology, operations research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 0.1%
Top 10%
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