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» Minimization of an M-convex Function
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CGF
2008
92views more  CGF 2008»
13 years 9 months ago
Pointwise radial minimization: Hermite interpolation on arbitrary domains
In this paper we propose a new kind of Hermite interpolation on arbitrary domains, matching derivative data of arbitrary order on the boundary. The basic idea stems from an interp...
Michael S. Floater, C. Schulz
DM
2006
86views more  DM 2006»
13 years 9 months ago
Minimal rankings and the arank number of a path
Given a graph G, a function f : V (G) {1, 2, . . . , k} is a k-ranking of G if f (u) = f (v) implies every u - v path contains a vertex w such that f (w) > f (u). A k-ranking ...
Victor Kostyuk, Darren A. Narayan, Victoria A. Wil...
ICCAD
1997
IEEE
127views Hardware» more  ICCAD 1997»
14 years 1 months ago
OPTIMIST: state minimization for optimal 2-level logic implementation
We present a novel method for state minimization of incompletely-specified finite state machines. Where classic methods simply minimize the number of states, ours directly addre...
Robert M. Fuhrer, Steven M. Nowick
AMAI
2002
Springer
13 years 9 months ago
Minimizing Output Error in Multi-Layer Perceptrons
act It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at in...
Jonathan P. Bernick

Publication
337views
15 years 28 days ago
Redistribution Mechanisms for Assignment of Heterogeneous Objects
There are p heterogeneous objects to be assigned to n competing agents (n > p) each with unit demand. It is required to design a Groves mechanism for this assignment problem ...
Sujit Gujar, Y Narahari