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131
Voted
MR
2016
67views Robotics» more  MR 2016»
9 years 11 months ago
Resilient routing implementation in 2D mesh NoC
Rimpy Bishnoi, Vijay Laxmi, Manoj Singh Gaur, Mark...
214
Voted
MR
2016
82views Robotics» more  MR 2016»
9 years 11 months ago
Design, evaluation and fault-tolerance analysis of stochastic FIR filters
— Stochastic computing utilizes compact arithmetic circuits that can potentially lower the implementation cost in silicon area. In addition, stochastic computing provides inheren...
Ran Wang, Jie Han, Bruce F. Cockburn, Duncan G. El...
MPC
2016
Springer
69views Mathematics» more  MPC 2016»
9 years 11 months ago
Improving branch-and-cut performance by random sampling
We discuss the variability in the performance of multiple runs of branch-and-cut Mixed Integer Linear Programming solvers, and we concentrate on the one deriving from the use of di...
Matteo Fischetti, Andrea Lodi, Michele Monaci, Dom...
204
Voted
MPC
2016
Springer
76views Mathematics» more  MPC 2016»
9 years 11 months ago
Large-scale optimization with the primal-dual column generation method
The primal-dual column generation method (PDCGM) is a general-purpose column generation technique that relies on the primal-dual interior point method to solve the restricted mast...
Jacek Gondzio, Pablo González-Brevis, Pedro...
110
Voted
MP
2016
9 years 11 months ago
The continuous knapsack set
We study the convex hull of the continuous knapsack set which consists of a single inequality constraint with n non-negative integer and m non-negative bounded continuous variable...
Sanjeeb Dash, Oktay Günlük, Laurence A. ...
95
Voted
MP
2016
9 years 11 months ago
Parallel coordinate descent methods for big data optimization
In this work we show that randomized (block) coordinate descent methods can be accelerated by parallelization when applied to the problem of minimizing the sum of a partially sepa...
Peter Richtárik, Martin Takác
183
Voted
MP
2016
9 years 11 months ago
A semismooth Newton-CG based dual PPA for matrix spectral norm approximation problems
We consider a class of matrix spectral norm approximation problems for finding an affine combination of given matrices having the minimal spectral norm subject to some prescribed ...
Caihua Chen, Yong-Jin Liu, Defeng Sun, Kim-Chuan T...
119
Voted
MP
2016
9 years 11 months ago
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
The alternating direction method of multipliers (ADMM) is now widely used in many fields, and its convergence was proved when two blocks of variables are alternatively updated. It...
Caihua Chen, Bingsheng He, Yinyu Ye, Xiaoming Yuan