- Linear, Cone and Semidefinite Programming Submissions - 2019 January 2019 A Geometrical Analysis of a Class of Nonconvex Conic Programs for Convex Conic Reformulations of Quadratic and Polynomial Optimization Problems Sunyoung Kim, Masakazu Kojima, Kim-Chuan Toh February 2019 Semi-definite Programming Exploiting Sparsity for Semi-Algebraic Set Volume Computation Matteo Tacchi, Tillmann Weisser, Jean Bernard Lasserre, Didier Henrion Linear Programming Logarithmic-barrier decomposition interior-point methods for stochastic linear optimization in a Hilbert space Baha Alzalg, Akhtar Khan March 2019 Second-Order Cone Programming Decomposition interior-point methods based on unital JH-algebras for stochastic conic optimization in spin factors Baha Alzalg Doubly nonnegative relaxations are equivalent to completely positive reformulations of quadratic optimization problems with block-clique graph structures Sunyoung Kim, Masakazu Kojima, Kim-Chuan Toh Semi-definite Programming CONICOPF: A tight-and-cheap conic relaxation with accuracy metrics for single-period and multi-period ACOPF problems Christian Bingane, Miguel F. Anjos, Sébastien Le Digabel Semi-definite Programming An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem Ernesto G. Birgin, Walter Gómez, Gabriel Haeser, Leonardo M. Mito, Daiana S. Viana Semi-definite Programming Tractable semi-algebraic approximation using Christoffel-Darboux kernel Swann Marx, Edouard Pauwels, Tillmann Weisser, Didier Henrion, Jean Bernard Lasserre April 2019 Linear Programming Logarithmic-Barrier Decomposition Interior-Point Methods for Stochastic Linear Optimization in a Hilbert Space Baha Alzalg Semi-definite Programming Noisy Euclidean Distance Matrix Completion with a Single Missing Node Stefan Sremac, Fei Wang , Henry Wolkowicz, Lucas Pettersson Semi-definite Programming Lower Bounds for the Bandwidth Problem Franz Rendl, Renata Sotirov, Truden Christian Semi-definite Programming Burer-Monteiro guarantees for general semidefinite programs Diego Cifuentes Self-Concordance and Matrix Monotonicity with Applications to Quantum Entanglement Problems Leonid Faybusovich, Cunlu Zhou Convergence analysis of a Lasserre hierarchy of upper bounds for polynomial minimization on the sphere Etienne de Klerk, Monique Laurent A Projective Approach to Nonnegative Matrix Factorization Patrick Groetzner May 2019 Semi-definite Programming A convex relaxation to compute the nearest structured rank deficient matrix Diego Cifuentes Polyhedral approximations of the semidefinite cone and their applications Yuzhu Wang, Akihiro Tanaka, Akiko Yoshise Second-Order Cone Programming Detection and Transformation of Second-Order Cone Programming Problems in a General-Purpose Algebraic Modeling Language Jared Erickson, Robert Fourer Linear Programming Distributed Dantzig-Wolfe Decomposition Mohamed El Tonbari, Shabbir Ahmed A primal-dual interior-point algorithm for nonsymmetric exponential-cone optimization. Joachim Dahl, Erling Andersen, D. A Newton-bracketing method for a simple conic optimization problem Sunyoung Kim, Masakazu Kojima, Kim-Chuan Toh July 2019 Linear Programming First Experiments with Structure-Aware Presolving for a Parallel Interior-Point Method Ambros Gleixner, Nils-Christian Kempke, Thorsten Koch, Daniel Rehfeldt, Svenja Uslu August 2019 Linear Programming A massively parallel interior-point solver for linear energy system models with block structure Rehfeldt Daniel, Hannes Hobbie, David Schönheit, Ambros Gleixner, Thorsten Koch, Domink Möst Semi-definite Programming Error Bounds and Singularity Degree in Semidefinite Programming Stefan Sremac, Hugo J. Woerdeman, Henry Wolkowicz Semi-definite Programming A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics Anirudha Majumdar, Georgina Hall, Amir Ali Ahmadi Linear Programming On the existence of a short pivoting sequence for a linear program Anders Forsgren, Fei Wang September 2019 Semi-definite Programming A relaxed interior point method for low-rank semidefinite programming problems Stefania Bellavia, Jacek Gondzio, Margherita Porcelli Semi-definite Programming On Polyhedral and Second-Order-Cone Decompositions of Semidefinite Optimization Problems Dimitris Bertsimas, Ryan Cory-Wright October 2019 The Outcome Range Problem Mohsen Mohammadi, Monica Gentili A Strictly Contractive Peaceman-Rachford Splitting Method for the Doubly Nonnegative Relaxation of the Minimum Cut Problem Xinxin Li, Ting Kei Pong, Hao Sun, Henry Wolkowicz November 2019 Second-Order Cone Programming Exploiting Aggregate Sparsity in Second Order Cone Relaxations for Quadratic Constrained Quadratic Programming Problems Heejune Sheen, Makoto Yamashita Semi-definite Programming Decomposed Structured Subsets for Semidefinite and Sum-of-Squares Optimization Jared Miller, Yang Zheng, Mario Sznaier, Antonis Papachristodoulou Semi-definite Programming On the tightness of SDP relaxations of QCQPs with repeated eigenvalues Alex L. Wang, Fatma Kilinc-Karzan Other The extreme rays of the $6\times6$ copositive cone Andrei Afonin, Roland Hildebrand, Peter J.C. Dickinson December 2019 Linear Programming Linear Programming using Limited-Precision Oracles Ambros Gleixner, Daniel E. Steffy Semi-definite Programming Polynomial time guarantees for the Burer-Monteiro method Diego Cifuentes, Ankur Moitra Gaddum's test for symmetric cones Michael Orlitzky A Limiting Analysis on Regularization of Singular SDP and its Implication to Infeasible Interior-point Algorithms Takashi Tsuchiya, Bruno F. Lourenco, Masakazu Muramatsu, Takayuki Okuno Linear Programming A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis Semi-definite Programming Facial Reduction for Symmetry Reduced Semidefinite Programs Hao Hu, Renata Sotirov, Henry Wolkowicz Visitors Authors More about us Links Subscribe, Unsubscribe Digest Archive Search, Browse the Repository Submit Update Policies Coordinator's Board Classification Scheme Credits Give us feedback Optimization Journals, Sites, Societies Optimization Online is supported by the Mathematical Optmization Society.