Gradient-Type Methods: A Unified Perspective in Computer Science and Numerical Analysis | Zendy

S. Fanelli | Zendy

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Gradient-Type Methods: A Unified Perspective in Computer Science and Numerical Analysis

Author(s) -

S. Fanelli

Publication year - 2011

Publication title -

isrn applied mathematics

Language(s) - English

Resource type - Journals

eISSN - 2090-5572

pISSN - 2090-5564

DOI - 10.5402/2011/715748

Subject(s) - perspective (graphical) , computer science , type (biology) , gradient descent , class (philosophy) , descent (aeronautics) , algorithm , mathematics , theoretical computer science , mathematical optimization , artificial intelligence , artificial neural network , engineering , geology , aerospace engineering , paleontology

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.

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