| 书目名称 | Minimization Methods for Non-Differentiable Functions |
| 编辑 | Naum Zuselevich Shor |
| 视频video | |
| 丛书名称 | Springer Series in Computational Mathematics |
| 图书封面 |  |
| 描述 | In recent years much attention has been given to the development of auto matic systems of planning, design and control in various branches of the national economy. Quality of decisions is an issue which has come to the forefront, increasing the significance of optimization algorithms in math ematical software packages for al,ltomatic systems of various levels and pur poses. Methods for minimizing functions with discontinuous gradients are gaining in importance and the ~xperts in the computational methods of mathematical programming tend to agree that progress in the development of algorithms for minimizing nonsmooth functions is the key to the con struction of efficient techniques for solving large scale problems. This monograph summarizes to a certain extent fifteen years of the author‘s work on developing generalized gradient methods for nonsmooth minimization. This work started in the department of economic cybernetics of the Institute of Cybernetics of the Ukrainian Academy of Sciences under the supervision of V.S. Mikhalevich, a member of the Ukrainian Academy of Sciences, in connection with the need for solutions to important, practical problems of optimal planning and de |
| 出版日期 | Book 1985 |
| 关键词 | Applications; Approximation; Functions; algorithms; optimization |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-82118-9 |
| isbn_softcover | 978-3-642-82120-2 |
| isbn_ebook | 978-3-642-82118-9Series ISSN 0179-3632 Series E-ISSN 2198-3712 |
| issn_series | 0179-3632 |
| copyright | Springer-Verlag Berlin, Heidelberg 1985 |
发表于 2025-3-21 19:53:50
