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MP
2016
8 years 7 months ago
Accelerated gradient methods for nonconvex nonlinear and stochastic programming
In this paper, we generalize the well-known Nesterov’s accelerated gradient (AG) method, originally designed for convex smooth optimization, to solve nonconvex and possibly stoch...
Saeed Ghadimi, Guanghui Lan
MP
2016
8 years 7 months ago
A deterministic rescaled perceptron algorithm
The perceptron algorithm is a simple iterative procedure for finding a point in a convex cone F. At each iteration, the algorithm only involves a query to a separation oracle for...
Javier Peña, Negar Soheili
MP
2016
8 years 7 months ago
A dynamic inequality generation scheme for polynomial programming
Abstract Hierarchies of semidefinite programs have been used to approximate or even solve polynomial programs. This approach rapidly becomes computationally expensive and is often...
Bissan Ghaddar, Juan C. Vera, Miguel F. Anjos
MP
2016
8 years 7 months ago
Ray projection for optimizing polytopes with prohibitively many constraints in set-covering column generation
A recurrent task in mathematical programming requires optimizing polytopes with prohibitivelymany constraints, e.g., the primal polytope in cutting-plane methods or the dual polyt...
Daniel Porumbel
MP
2016
8 years 7 months ago
Spectral simplex method
We develop an iterative optimization method for nding the maximal and minimal spectral radius of a matrix over a compact set of nonnegative matrices. We consider matrix sets with...
Vladimir Yu. Protasov
MP
2016
8 years 7 months ago
Continuous knapsack sets with divisible capacities
We study two continuous knapsack sets Y≥ and Y≤ with n integer, one unbounded continuous and m bounded continuous variables in either ≥ or ≤ form. When the coefficients of...
Laurence A. Wolsey, Hande Yaman
MP
2016
8 years 7 months ago
A Lagrangian-DNN relaxation: a fast method for computing tight lower bounds for a class of quadratic optimization problems
We propose an efficient computational method for linearly constrained quadratic optimization problems (QOPs) with complementarity constraints based on their Lagrangian and doubly ...
Sunyoung Kim, Masakazu Kojima, Kim-Chuan Toh
MP
2016
8 years 7 months ago
New analysis and results for the Frank-Wolfe method
We present new results for the Frank-Wolfe method (also known as the conditional gradient method). We derive computational guarantees for arbitrary step-size sequences, which are ...
Robert M. Freund, Paul Grigas