想象 发表于 2025-3-23 13:40:54

https://doi.org/10.1007/978-3-540-77817-2In this chapter we consider algorithms for the unconstrained minimization problem: ..

施加 发表于 2025-3-23 17:39:17

http://reply.papertrans.cn/24/2356/235562/235562_12.png

Munificent 发表于 2025-3-23 18:21:51

Trauma - An Engineering AnalysisIn the chapter we consider the problem . subject to the simple bounds ., where we assume that ., . are fixed vectors and the inequalities are taken componentwise. It is the special case of the problem considered in the previous chapter if we notice that the set . is a polyhedron.

persistence 发表于 2025-3-24 00:29:38

http://reply.papertrans.cn/24/2356/235562/235562_14.png

Madrigal 发表于 2025-3-24 04:47:51

Limited Memory Quasi-Newton Algorithms,The memoryless quasi-Newton method stops short in creating an efficient compromise between a robust conjugate gradient algorithm and more efficient quasi-Newton method which uses limited storage.

宽度 发表于 2025-3-24 09:02:17

http://reply.papertrans.cn/24/2356/235562/235562_16.png

Conducive 发表于 2025-3-24 14:22:51

The Method of Shortest Residuals for Differentiable Problems,In this chapter we consider algorithms for the unconstrained minimization problem: ..

健谈的人 发表于 2025-3-24 15:24:41

Optimization on a Polyhedron,In the chapter our interest focuses on algorithms for problems with constraints. We consider the problem . where .. The set Ω is convex and is called the . .

卵石 发表于 2025-3-24 20:00:07

http://reply.papertrans.cn/24/2356/235562/235562_19.png

中子 发表于 2025-3-25 01:29:47

http://reply.papertrans.cn/24/2356/235562/235562_20.png
页: 1 [2] 3 4 5
查看完整版本: Titlebook: Conjugate Gradient Algorithms in Nonconvex Optimization; Radosław Pytlak Book 2009 Springer-Verlag Berlin Heidelberg 2009 Algebra.Bound Co