Liveness analysis is an important analysis in optimizing compilers. Liveness information is used in several optimizations and is mandatory during the code-generation phase. Two dr...
Benoit Boissinot, Sebastian Hack, Daniel Grund, Be...
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the academic communities. One of the most important ...
This paper is concerned with the design and analysis of adaptive wavelet methods for systems of operator equations. Its main accomplishment is to extend the range of applicability...
The classical inexact Newton algorithm is an efficient and popular technique for solving large sparse nonlinear system of equations. When the nonlinearities in the system are wellb...