Conjugate gradient algorithms in nonconvex optimization / Pytlak, Radosław
Tác giả : Pytlak, Radosław
Nhà xuất bản : Springer
Năm xuất bản : 2009
Mô tả vật lý : 493 p.
Số phân loại : 518.1
Chủ đề : 1. MATHEMATICS -- Numerical Analysis ; Calculus of Variations and Optimal Control; Optimization. 2. Book.
Thông tin chi tiết
Tóm tắt : | This up-to-date book is on algorithms for large-scale unconstrained and bound constrained optimization. Optimization techniques are shown from a conjugate gradient algorithm perspective. Large part of the book is devoted to preconditioned conjugate gradient algorithms. In particular memoryless and limited memory quasi-Newton algorithms are presented and numerically compared to standard conjugate gradient algorithms. The special attention is paid to the methods of shortest residuals developed by the author. Several effective optimization techniques based on these methods are presented (...) |
Thông tin dữ liệu nguồn
Thư viện | Ký hiệu xếp giá | Dữ liệu nguồn |
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Đại học quốc gia Hà Nội |
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https://repository.vnu.edu.vn/handle/VNU_123/30210 |