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» A fast algorithm for computing large Fibonacci numbers
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FIRBPERF
2005
IEEE
235views Algorithms» more  FIRBPERF 2005»
15 years 9 months ago
Performance Model Building of Pervasive Computing
Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using aut...
Andrea D'Ambrogio, Giuseppe Iazeolla
VLSID
2008
IEEE
128views VLSI» more  VLSID 2008»
16 years 4 months ago
A Novel Approach to Compute Spatial Reuse in the Design of Custom Instructions
In the automatic design of custom instruction set processors, there can be a very large set of potential custom instructions, from which a few instructions are required to be chos...
Nagaraju Pothineni, Anshul Kumar, Kolin Paul
VISUALIZATION
2003
IEEE
15 years 9 months ago
Counting Cases in Marching Cubes: Toward a Generic Algorithm for Producing Substitopes
We describe how to count the cases that arise in a family of visualization techniques, including Marching Cubes, Sweeping Simplices, Contour Meshing, Interval Volumes, and Separat...
David C. Banks, Stephen A. Linton
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
16 years 4 months ago
Finding, minimizing, and counting weighted subgraphs
d Abstract] Virginia Vassilevska School of Mathematics Institute for Advanced Study Princeton, NJ 08540 USA virgi@math.ias.edu Ryan Williams School of Mathematics Institute for Adv...
Virginia Vassilevska, Ryan Williams
NCA
2008
IEEE
15 years 4 months ago
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi...