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Gradient-type methods: a unified perspective in computer science and numerical analysis - MaRDI portal

Gradient-type methods: a unified perspective in computer science and numerical analysis (Q420252)

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scientific article; zbMATH DE number 6037046
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Gradient-type methods: a unified perspective in computer science and numerical analysis
scientific article; zbMATH DE number 6037046

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    Gradient-type methods: a unified perspective in computer science and numerical analysis (English)
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    21 May 2012
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    Summary: We present 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.
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