A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations

DOI10.1137/18M1188069zbMath1411.90257arXiv1708.08048OpenAlexW2904112175WikidataQ128737203 ScholiaQ128737203MaRDI QIDQ4562340

ZaiWen Wen, Chao Yang, Yongfeng Li, Ya-Xiang Yuan

Publication date: 19 December 2018

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1708.08048

zbMATH Keywords

ADMMsemidefinite programmingsemismooth Newton methodelectronic structure calculationtwo-body reduced density matrix

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Semidefinite programming (90C22) Eigenvalues, singular values, and eigenvectors (15A18) Nonlinear spectral theory, nonlinear eigenvalue problems (47J10)

Related Items (4)

A multiscale semi-smooth Newton method for optimal transport ⋮ A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming ⋮ Newton-type methods with the proximal gradient step for sparse estimation ⋮ Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction

Uses Software

• SDPNAL+

Cites Work

• Unnamed Item
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