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Functional analysis : with applications

A. H. Siddgi
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The article was published on 1986-01-01 and is currently open access. It has received 76 citations till now.

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Citations
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Journal ArticleDOI

Just relax: convex programming methods for identifying sparse signals in noise

TL;DR: A method called convex relaxation, which attempts to recover the ideal sparse signal by solving a convex program, which can be completed in polynomial time with standard scientific software.
Journal ArticleDOI

A review of the fractal image coding literature

TL;DR: This review represents a survey of the most significant advances, both practical and theoretical, since the publication of Jacquin's original fractal coding scheme.
Journal ArticleDOI

Objective functions for training new hidden units in constructive neural networks

TL;DR: The aim is to derive a class of objective functions the computation of which and the corresponding weight updates can be done in O(N) time, where N is the number of training patterns.
Journal ArticleDOI

The shape of fuzzy sets in adaptive function approximation

TL;DR: It is proved that some of these sets still suffer from spikiness, and a method is presented for constructing such unfactorable joint sets from scalar distance measures.
Journal ArticleDOI

On Some Euler Sequence Spaces of Nonabsolute Type

TL;DR: In this paper, the authors introduced Euler sequence spaces of nonabsolute type that are BK-spaces and proved that the spaces are linearly isomorphic to the spaces c ≥ 0.
References
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Journal ArticleDOI

Just relax: convex programming methods for identifying sparse signals in noise

TL;DR: A method called convex relaxation, which attempts to recover the ideal sparse signal by solving a convex program, which can be completed in polynomial time with standard scientific software.
Journal ArticleDOI

A review of the fractal image coding literature

TL;DR: This review represents a survey of the most significant advances, both practical and theoretical, since the publication of Jacquin's original fractal coding scheme.
Journal ArticleDOI

Objective functions for training new hidden units in constructive neural networks

TL;DR: The aim is to derive a class of objective functions the computation of which and the corresponding weight updates can be done in O(N) time, where N is the number of training patterns.
Journal ArticleDOI

The shape of fuzzy sets in adaptive function approximation

TL;DR: It is proved that some of these sets still suffer from spikiness, and a method is presented for constructing such unfactorable joint sets from scalar distance measures.
Journal ArticleDOI

On Some Euler Sequence Spaces of Nonabsolute Type

TL;DR: In this paper, the authors introduced Euler sequence spaces of nonabsolute type that are BK-spaces and proved that the spaces are linearly isomorphic to the spaces c ≥ 0.