1 ADMM for Sparse Semidefinite Programming with Applications to Optimal Power Flow Problem Ramtin Madani, Abdulrahman Kalbat and Javad Lavaei Department of Electrical Engineering, Columbia University

Source URL: www.ieor.berkeley.edu

Practical first order methods for large scale semidefinite programming Stephen Tu ∗

Source URL: www.cs.berkeley.edu

Inverse Function Theorem for Polynomial Equations using Semidefinite Programming, Morteza Ashraphijuo, Ramtin Madani and Javad Lavaei Department of Electrical Engineering, Columbia University Abstract— This paper is c

Source URL: www.ieor.berkeley.edu

Semidefinite programming hierarchies for quantum adversaries Mario Berta Institute for Quantum Information and Matter Caltech, Pasadena

Source URL: 2015.qcrypt.net

Linear Index Coding via Semidefinite Programming∗ Eden Chlamt´acˇ † Ishay Haviv‡ Abstract

Source URL: www2.mta.ac.il

Scalable Semidefinite Relaxation for Maximum A Posterior Estimation

Source URL: geometry.stanford.edu

• Mathematical optimization
• Operations research
• Mathematical analysis
• Linear programming
• Convex optimization
• Real algebraic geometry
• Semidefinite programming
• Relaxation
• Approximation algorithm
• Nonlinear programming
• Duality
• Quadratically constrained quadratic program

Consistent Shape Maps via Semidefinite Programming∗ Qi-Xing Huang and Leonidas Guibas Computer Science Department, Stanford University, Stanford, CA October 15, 2013 Abstract

Source URL: geometry.stanford.edu

• Operations research
• Mathematical optimization
• Matrix theory
• Real algebraic geometry
• Linear algebra
• Matrix
• Semidefinite programming
• Linear programming
• Convex function
• Eigenvalues and eigenvectors
• Distance matrix
• Matrix completion

Introduction to Semidefinite Programs Masakazu Kojima, Tokyo Institute of Technology Semidefinite Programming and Its Application January, 2006 Institute for Mathematical Sciences National University of Singapore

Source URL: www.ims.nus.edu.sg

Moments, Sums of Squares and Semidefinite Programming Jean B. LASSERRE LAAS-CNRS, and Institute of Mathematics, Toulouse, France

Source URL: www.ims.nus.edu.sg

DSDP5 User Guide — Software for Semidefinite Programming Steven J. Benson Mathematics and Computer Science Division Argonne National Laboratory Argonne, IL U.S.A.

Source URL: www.mcs.anl.gov