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Iterative Methods for Optimization does more than cover traditional gradient-based optimization: it is the first book to treat sampling methods, including the Hooke–Jeeves, implicit filtering, MDS, and Nelder–Mead schemes in a unified way, and also the first book to make connections between sampling methods and the traditional gradient-methods.Thus, readers can experiment with the algorithms in an easy way as well as implement them in other languages.
Linear and Nonlinear Iterative Learning Control Автор: Jian-Xin Xu, Ying Tan Год: 2003 |
Mathematical aspects of geometric modeling Автор: Charles A. Micchelli Год: 1987 |
Mathematical Aspects of Geometric Modeling Автор: Charles A. Micchelli Год: 1987 |
Mathematical aspects of geometric modeling Автор: Charles A. Micchelli Год: 1987 |
Iterative functional equations Автор: Marek Kuczma Год: 1990 |