Conic optimization has recently emerged as a powerful tool for designing tractable and
guaranteed algorithms for power system operation. On the one hand, tractability is crucial …

Recently, learning based hashing techniques have attracted broad research interests due to
the resulting efficient storage and retrieval of images, videos, documents, etc. However, a …

Minimization with orthogonality constraints (eg, X^ ⊤ X= I) and/or spherical constraints (eg,
‖ x ‖ _2= 1) has wide applications in polynomial optimization, combinatorial optimization …

The two‐electron reduced density matrix (2RDM) carries enough information to evaluate the
electronic energy of a many‐electron system. The variational 2RDM (v2RDM) approach …

We consider a Newton-CG augmented Lagrangian method for solving semidefinite
programming (SDP) problems from the perspective of approximate semismooth Newton …

We present an alternating direction dual augmented Lagrangian method for solving
semidefinite programming (SDP) problems in standard form. At each iteration, our basic …

In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm
minimizes a linear combination of three terms corresponding to a least square data fitting …

In this paper, we consider the monotone inclusion problem consisting of the sum of a
continuous monotone map and a point-to-set maximal monotone operator with a separable …

We present in this paper alternating linearization algorithms based on an alternating
direction augmented Lagrangian approach for minimizing the sum of two convex functions …

A large-scale implementation of the complete active space self-consistent field (CASSCF)
method is presented. The active space is described using the variational two-electron …