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» Approximating Node-Connectivity Augmentation Problems
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75
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COMPUTING
2006
119views more  COMPUTING 2006»
14 years 9 months ago
Sparse Grids, Adaptivity, and Symmetry
Sparse grid methods represent a powerful and efficient technique for the representation and approximation of functions and particularly the solutions of partial differential equat...
Harry Yserentant
SAC
2003
ACM
15 years 2 months ago
Greedy Heuristics and an Evolutionary Algorithm for the Bounded-Diameter Minimum Spanning Tree Problem
Given a connected, weighted, undirected graph G and a bound D, the bounded-diameter minimum spanning tree problem seeks a spanning tree on G of lowest weight in which no path betw...
Günther R. Raidl, Bryant A. Julstrom
83
Voted
NIPS
1996
14 years 10 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
ECRTS
2006
IEEE
15 years 3 months ago
The Partitioned Scheduling of Sporadic Tasks According to Static-Priorities
A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks among the processors of an identical multiprocessor platform with static-priority scheduli...
Nathan Fisher, Sanjoy K. Baruah, Theodore P. Baker
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 4 months ago
Achieving higher frequencies in large-scale nonlinear model predictive control
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
Victor M. Zavala, Mihai Anitescu