Energy minimization via moment hierarchies David de Laat (TU Delft) ESI Workshop on Optimal Point Configurations and Applications 16 October 2014

Source URL: www.daviddelaat.nl

• Operations research
• Convex optimization
• Mathematical optimization
• Linear programming
• Mathematics
• Applied mathematics
• Computer science

Many data analysis applications require the solution of optimization problems involving a sum of large number of functions. We consider the problem of minimizing a sum of n functions over a convex constraint set. Algorit

Source URL: mmds-data.org

CS168: The Modern Algorithmic Toolbox Lecture #18: Linear and Convex Programming, with Applications to Sparse Recovery Tim Roughgarden & Gregory Valiant∗ May 25, 2016

Source URL: theory.stanford.edu

• Mathematical optimization
• Numerical analysis
• Mathematical analysis
• Operations research
• Linear programming
• Convex optimization
• Convex analysis
• Ellipsoid method
• Feasible region
• Convex function
• Linear inequality
• Candidate solution

Unique Sink Orientations of Grids ? Bernd G¨artner1 , Walter D. Morris, Jr.2 , and Leo R¨ ust3

Source URL: people.inf.ethz.ch

• Graph theory
• Mathematics
• Geometry
• Convex optimization
• Operations research
• Linear programming
• Polytopes
• Unique sink orientation
• LP-type problem
• Orientation
• Simplex
• Ear decomposition

PDF Document

Source URL: www.siam.org

• Mathematical optimization
• Mathematics
• Operations research
• Linear programming
• Convex optimization
• Quadratic programming
• Interior point method
• Duality
• Network simplex algorithm
• Linear complementarity problem
• KarushKuhnTucker conditions
• Simplex algorithm

ETH-Japan Workshop Engelberg Advertising Randomized derivative-free optimization Sebastian Stich ETH Z¨

Source URL: sstich.ch

• Mathematical optimization
• Mathematical analysis
• Analysis
• Convex analysis
• Operations research
• Convex function
• Derivative

Multi-Stage Dantzig Selector Ji Liu, Peter Wonka, Jieping Ye Arizona State University {ji.liu,peter.wonka,jieping.ye}@asu.edu

Source URL: peterwonka.net

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Operations research
• Convex optimization
• Normal distribution
• Linear regression
• Linear programming
• Sparse approximation

JMLR: Workshop and Conference Proceedings vol 40:1–26, 2015 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions Alexandre Belloni The Fuqua School of Business, Duke Univer

Source URL: jmlr.org

• Mathematical analysis
• Analysis
• Mathematics
• Convex analysis
• Logarithmically concave function
• Convex function
• Central limit theorem
• Normal distribution
• Convex optimization
• Expected value
• Distribution
• Rejection sampling

OPTIMIZATION APPROACHES TO QUADRATURE: NEW CHARACTERIZATIONS OF GAUSSIAN QUADRATURE ON THE LINE AND QUADRATURE WITH FEW NODES ON PLANE ALGEBRAIC CURVES, ON THE PLANE AND IN HIGHER DIMENSIONS CORDIAN RIENER AND MARKUS SCH

Source URL: cordian.bplaced.net

• Algebra
• Mathematics
• Numerical integration
• Functions and mappings
• Linear algebra
• Numerical analysis
• Field theory
• Gaussian quadrature
• Integral
• Convex cone
• Limit of a function
• Norm

The Optimal Allocation of Prizes in Contests Benny Moldovanu and Aner Sela¤ June 5, 2000 ¤

Source URL: www.econ2.uni-bonn.de

• Operations research
• Convex analysis
• Mathematical optimization
• Convex function
• Analysis
• Mathematics