This paper presents a general and comprehensive description of Optimization Methods, and Algorithms from a novel viewpoint. It is shown, in particular, that Direct Methods, Iterative Methods, and Computer Science Algorithms belong to a well-defined general class of both Finite and Infinite Procedures, characterized by suitable descent directions.

Fanelli, S. (2011). Gradient-type methods: a unified perspective in Computer Science and Numerical Analysis. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING(715748) [10.5402/2011/715748].

Gradient-type methods: a unified perspective in Computer Science and Numerical Analysis

FANELLI, STEFANO
2011

Abstract

This paper presents a general and comprehensive description of Optimization Methods, and Algorithms from a novel viewpoint. It is shown, in particular, that Direct Methods, Iterative Methods, and Computer Science Algorithms belong to a well-defined general class of both Finite and Infinite Procedures, characterized by suitable descent directions.
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore MAT/08 - Analisi Numerica
English
Con Impact Factor ISI
Fanelli, S. (2011). Gradient-type methods: a unified perspective in Computer Science and Numerical Analysis. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING(715748) [10.5402/2011/715748].
Fanelli, S
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/40861
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