क्यूआर कोड

Properties and Application of Incomplete Orthogonalization in the Directions of Gradient Difference in Optimization Methods

This paper considers the problem of unconstrained minimization of smooth functions. Despite the high efficiency of quasi-Newton methods such as BFGS, their performance degrades in ill-conditioned problems with unstable or rapidly varying Hessians—for example, in functions with curved ravine structur...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Vladimir Krutikov, Elena Tovbis, Svetlana Gutova, Ivan Rozhnov, Lev Kazakovtsev
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2025-12-01
श्रृंखला:Mathematics
विषय:
ऑनलाइन पहुंच:https://www.mdpi.com/2227-7390/13/24/4036
टैग: टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!