Index affine-scaling method, 202–204, 206, 210 poor performance of, 203 steplength choice, 203 approximation problems, 218–227 1 -norm, 221–224

Source URL: www.siam.org

• Mathematical optimization
• Operations research
• Linear programming
• Convex optimization
• Interior point method
• Simplex algorithm
• Nonlinear programming
• Quadratic programming
• Duality
• Revised simplex method
• Ellipsoid method
• Linear complementarity problem

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization Stephen H. Bach University of Maryland, College Park College Park, MD 20742

Source URL: stephenbach.net

• Operations research
• Mathematical optimization
• Convex optimization
• Multivariable calculus
• Linear programming
• Lagrange multiplier
• Finite element method
• Algorithm
• Interior point method

4164 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 58, NO. 7, JULY 2012 Interior-Point Methods for Full-Information and Bandit Online Learning

Source URL: www-stat.wharton.upenn.edu

• Mathematical optimization
• Convex analysis
• Operations research
• Convex optimization
• Machine learning
• Self-concordant function
• Interior point method
• Ellipsoid method
• Linear programming
• Algorithm
• Convex set
• Stability

1 Interior Point Methods The interior point method for linear programming was introduced by Karmakar inIt runs in polynomial time and is a practical method. For many problems it is competitive or superior to the s

Source URL: resources.mpi-inf.mpg.de

The R package cccp: Design for solving cone constrained convex programs Bernhard Pfaff Invesco Asset Management GmbH

Source URL: www.pfaffikus.de

• Convex analysis
• Convex optimization
• Linear programming
• Semidefinite programming
• Convex function
• Interior point method
• CPLEX
• Mathematical optimization
• Mathematical analysis
• Operations research

PDF Document

Source URL: www.mat.univie.ac.at

• Convex optimization
• Operations research
• Convex function
• Subgradient method
• Linear programming
• Interior point method
• Ellipsoid method
• Mathematical optimization
• Mathematical analysis
• Convex analysis

Interior Point Methods J. Gondzio Interior Point Method

Source URL: icis.pcz.pl

• Operations research
• Numerical linear algebra
• Regression analysis
• Convex optimization
• Linear programming
• Interior point method
• Linear least squares
• Mathematical optimization
• Matrix
• Algebra
• Mathematics
• Linear algebra

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback Ankan Saha University of Chicago

Source URL: people.cs.uchicago.edu

• Convex analysis
• Operations research
• Convex optimization
• Convex function
• Interior point method
• Lipschitz continuity
• Linear programming
• Self-concordant function
• Gradient descent
• Mathematical optimization
• Numerical analysis
• Mathematical analysis

Safety Verification of Reactive Controllers for UAV Flight in Cluttered Environments using Barrier Certificates Andrew J. Barry, Anirudha Majumdar, and Russ Tedrake Abstract— Unmanned aerial vehicles (UAVs) have a so-f

Source URL: abarry.org

• Operations research
• Mathematical optimization
• Dynamical systems
• Control theory
• Cybernetics
• Linear programming
• Interior point method
• Convex optimization
• Vector space
• Mathematics
• Algebra
• Mathematical analysis

PDF Document

Source URL: www.unisa.edu.au

• Mathematics
• Convex optimization
• Linear programming
• Penalty method
• Karush–Kuhn–Tucker conditions
• Constraint optimization
• Optimization problem
• Interior point method
• Multidisciplinary design optimization
• Mathematical optimization
• Mathematical analysis
• Operations research