Geometrically Constructed Families of Newton′s Method for Unconstrained Optimization and Nonlinear Equations
Author(s) -
Sanjeev Kumar,
V. Kanwar,
S. K. Tomar,
Sukhjit Singh
Publication year - 2011
Publication title -
international journal of mathematics and mathematical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 39
eISSN - 1687-0425
pISSN - 0161-1712
DOI - 10.1155/2011/972537
Subject(s) - mathematics , newton's method , nonlinear system , extension (predicate logic) , newton's method in optimization , root (linguistics) , quasi newton method , iterative method , line search , mathematical optimization , local convergence , mathematical analysis , computer science , linguistics , philosophy , physics , computer security , quantum mechanics , radius , programming language
One-parameter families of Newton's iterative method for the solution of nonlinear equations and its extension to unconstrained optimization problems are presented in the paper. These methods are derived by implementing approximations through a straight line and through a parabolic curve in the vicinity of the root. The presented variants are found to yield better performance than Newton's method, in addition that they overcome its limitations
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