Accurate price predictions are essential for market participants in orde...
Sensitivity analysis is an important tool used in many domains of
comput...
Bayesian inference tasks continue to pose a computational challenge. Thi...
The multiplication of a sparse matrix with a dense vector (SpMV) is a ke...
There is a growing demand for performing larger-scale Bayesian inference...
Spectral methods have gained a lot of recent attention due to the simpli...
Due to critical environmental issues, the power systems have to accommod...
Many application problems that lead to solving linear systems make use o...
The symmetric sparse matrix-vector multiplication (SymmSpMV) is an impor...
In this chapter we will give an insight into modern sparse elimination
m...
Interior point methods are among the most popular techniques for large s...
An increasing amount of gas-fired power plants are currently being insta...
Template metaprogramming is a popular technique for implementing compile...