Scaling up Gaussian Belief Space Planning through Covariance-Free Trajectory Optimization and Automatic Differentiation Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel University of

Source URL: goldberg.berkeley.edu

• Mathematical optimization
• Systems theory
• Engineering
• Systems science
• Control theory
• Robot control
• Operations research
• Optimal control
• Trajectory optimization
• Kalman filter
• Model predictive control
• Quadratic programming

MINLP Solver Software Michael R. Bussieck and Stefan Vigerske GAMS Development Corp., 1217 Potomac St, NW Washington, DC 20007, USA , March 10, 2014

Source URL: www.math.hu-berlin.de

• Numerical analysis
• Mathematical optimization
• Mathematical software
• Numerical software
• Quadratic programming
• Linear programming
• Couenne
• Nl
• AMPL
• TOMLAB
• COIN-OR
• SCIP

The CVX Users’ Guide Release 2.1 Michael C. Grant, Stephen P. Boyd CVX Research, Inc.

Source URL: cvxr.com

• Numerical analysis
• Mathematical optimization
• Mathematical software
• Software
• Numerical software
• Computer file formats
• Convex optimization
• Operations research
• MOSEK
• Nl
• Quadratic programming
• AMPL

Using Quadratic Programming to Estimate Feature Relevance in Structural Analyses of Music Jordan B. L. Smith Elaine Chew

Source URL: www.music.mcgill.ca

Solving Chance-Constrained Optimization Problems with Stochastic Quadratic Inequalities Miguel A. Lejeune∗, F. Margot† Abstract We study a complex class of stochastic programming problems involving a joint chance con

Source URL: wpweb2.tepper.cmu.edu

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

Hierarchical Inequality Task Specification for Indirect Force Controlled Robots using Quadratic Programming Ewald Lutscher and Gordon Cheng Institute for Cognitive Systems (www.ics.ei.tum.de) Technische Universit¨at M¨

Source URL: mediatum.ub.tum.de

LINEAR PROGRAMMING RELAXATIONS OF QUADRATICALLY CONSTRAINED QUADRATIC PROGRAMS ANDREA QUALIZZA1 , PIETRO BELOTTI2 , AND FRANC ¸ OIS MARGOT1,3 Abstract. We investigate the use of linear programming tools for solving semi

Source URL: wpweb2.tepper.cmu.edu

A Finite Branch-and-Bound Algorithm for Nonconvex Quadratic Programming via Semidefinite Programming Samuel Burer1 Dieter Vandenbussche2

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

Noname manuscript No. (will be inserted by the editor) Extended Formulations in Mixed Integer Conic Quadratic Programming Juan Pablo Vielma, Iain Dunning, Joey Huchette and Miles

Source URL: web.mit.edu

• Operations research
• Combinatorial optimization
• Approximations
• Mathematical optimization
• Relaxation
• Linear programming relaxation
• Linear programming
• Integer programming
• Approximation algorithm
• Constructible universe