A Class of Diagonally Preconditioned Limited Memory Quasi-Newton Methods for Large-Scale Unconstrained Optimization
The focus of this thesis is to diagonally precondition on the limited memory quasi-Newton method for large scale unconstrained optimization problem. Particularly, the centre of discussion is on diagonally preconditioned limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method. L-BFGS method h...
Saved in:
主要作者: | Chen, Chuei Yee |
---|---|
格式: | Thesis |
語言: | English English |
出版: |
2009
|
主題: | |
在線閱讀: | http://psasir.upm.edu.my/id/eprint/7547/1/ABS_---__FS_2009_29.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A class of diagonally preconditioned limited memory quasi-Newton methods for large-scale unconstrained optimization /
由: Chen, Chuei Yee. -
A Class of Diagonally Preconditioned Limited Memory Quasi-Newton Methods for Large-Scale Unconstrained Optimization
由: Chen, Chuei Yee
出版: (2009) -
Preconditioning Subspace Quasi-Newton Method for Large Scale Unconstrained Optimization
由: Sim, Hong Sen
出版: (2011) -
Preconditioning subspace quasi-newton method for large scale unconstrained optimization /
由: Sim, Hong Seng. -
A class of diagonally preconditioned limited memory BFGS method for large scale unconstrained optimization
由: Leong, Wah June, et al.
出版: (2009)