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CDC
2009
IEEE
114views Control Systems» more  CDC 2009»
13 years 11 months ago
Parametric model order reduction accelerated by subspace recycling
Abstract-- Many model order reduction methods for parameterized systems need to construct a projection matrix V which requires computing several moment matrices of the parameterize...
Lihong Feng, Peter Benner, Jan G. Korvink
IJCAI
2007
13 years 9 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
ARC
2010
Springer
387views Hardware» more  ARC 2010»
14 years 2 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides
SC
1995
ACM
13 years 11 months ago
Parallel Matrix-Vector Product Using Approximate Hierarchical Methods
Matrix-vector products (mat-vecs) form the core of iterative methods used for solving dense linear systems. Often, these systems arise in the solution of integral equations used i...
Ananth Grama, Vipin Kumar, Ahmed H. Sameh
TON
2010
118views more  TON 2010»
13 years 6 months ago
ILP formulations for p-cycle design without candidate cycle enumeration
—The concept of p-cycle (preconfigured protection cycle) allows fast and efficient span protection in wavelength division multiplexing (WDM) mesh networks. To design p-cycles f...
Bin Wu, Kwan L. Yeung, Pin-Han Ho