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COMPUTING
2006
119views more  COMPUTING 2006»
13 years 7 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
14 years 23 days 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
NIPS
1996
13 years 8 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
14 years 1 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»
13 years 2 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