Title of article
Global convergence of nonmonotone descent methods for unconstrained optimization problems
Author/Authors
Sun، نويسنده , , Wenyu and Han، نويسنده , , Jiye and Sun، نويسنده , , Jie، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2002
Pages
10
From page
89
To page
98
Abstract
Global convergence results are established for unconstrained optimization algorithms that utilize a nonmonotone line search procedure. This procedure allows the user to specify a flexible forcing function and includes the nonmonotone Armijo rule, the nonmonotone Goldstein rule, and the nonmonotone Wolfe rule as special cases.
Keywords
Unconstrained optimization , global convergence , Nonmonotone Line Search
Journal title
Journal of Computational and Applied Mathematics
Serial Year
2002
Journal title
Journal of Computational and Applied Mathematics
Record number
1551863
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