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IMR
2004
Springer
14 years 23 days ago
PDE-Based Gradient Limiting for Mesh Size Functions
We propose a new method for limiting the gradients in a mesh size function by solving a non-linear partial differential equation on the background mesh. Our gradient limiting Ham...
Per-Olof Persson
ASPDAC
1999
ACM
117views Hardware» more  ASPDAC 1999»
13 years 11 months ago
Analysing Forced Oscillators with Multiple Time Scales
We present a novel formulation, called the WaMPDE, for solving systems with forced autonomous components. An important feature of the WaMPDE is its ability to capture frequency mo...
Onuttom Narayan, Jaijeet S. Roychowdhury
NECO
2007
115views more  NECO 2007»
13 years 6 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
RC
2002
72views more  RC 2002»
13 years 7 months ago
Symbolic Preconditioning with Taylor Models: Some Examples
Deterministic global optimization with interval analysis involves - using interval enclosures for ranges of the constraints, objective, and gradient to reject infeasible regions, r...
R. Baker Kearfott, G. William Walster
SIAMNUM
2010
120views more  SIAMNUM 2010»
13 years 2 months ago
Well Conditioned Spherical Designs for Integration and Interpolation on the Two-Sphere
A set XN of N points on the unit sphere is a spherical t-design if the average value of any polynomial of degree at most t over XN is equal to the average value of the polynomial o...
Congpei An, Xiaojun Chen, Ian H. Sloan, Robert S. ...