Performance and scalability of the block low-rank multifrontal factorization on multicore architectures
Matrices coming from elliptic Partial Differential Equations have been shown to have a low-
rank property that can be efficiently exploited in multifrontal solvers to provide a substantial …
rank property that can be efficiently exploited in multifrontal solvers to provide a substantial …
[BOOK][B] Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation and Perspectives
Do you know the difference between an optimist and a pessimist? The former believes we
live in the best possible world, and the latter is afraid that the former might be right.… In that …
live in the best possible world, and the latter is afraid that the former might be right.… In that …
For how large soil shear wave velocity the soil-structure interaction effects on a tall building can be neglected?–A case study
The soil-structure interaction (SSI) effects are typically ignored in modeling and analyses of
the seismic response of tall buildings. This paper presents an in-depth investigation of the …
the seismic response of tall buildings. This paper presents an in-depth investigation of the …
Two-stage approach to parameter estimation of differential equations using neural odes
W Bradley, F Boukouvala - Industrial & Engineering Chemistry …, 2021 - ACS Publications
Modeling physiochemical relationships using dynamic data is a common task in fields
throughout science and engineering. A common step in develo** generalizable …
throughout science and engineering. A common step in develo** generalizable …
Block Low-Rank multifrontal solvers: complexity, performance, and scalability
T Mary - 2017 - theses.hal.science
We investigate the use of low-rank approximations to reduce the cost of sparsedirect
multifrontal solvers. Among the different matrix representations that havebeen proposed to …
multifrontal solvers. Among the different matrix representations that havebeen proposed to …
On the complexity of the block low-rank multifrontal factorization
Matrices coming from elliptic partial differential equations have been shown to have a low-
rank property: well-defined off-diagonal blocks of their Schur complements can be …
rank property: well-defined off-diagonal blocks of their Schur complements can be …
Mathematical cancer therapy planning in deep regional hyperthermia
This paper surveys the mathematics required for a typically challenging problem from
computational medicine: cancer therapy planning in deep regional hyperthermia. In the …
computational medicine: cancer therapy planning in deep regional hyperthermia. In the …
The role of the foundation flexibility on the seismic response of a modern tall building: Vertically incident plane waves
The soil-structure interaction (SSI) is an integral part of the seismic response of structures.
The knowledge about its effects is based largely on numerical simulations involving …
The knowledge about its effects is based largely on numerical simulations involving …
Parallel approximation of the maximum likelihood estimation for the prediction of large-scale geostatistics simulations
Maximum likelihood estimation is an important statistical technique for estimating missing
data, for example in climate and environmental applications, which are usually large and …
data, for example in climate and environmental applications, which are usually large and …
[BOOK][B] Adaptive numerical solution of PDEs
P Deuflhard, M Weiser - 2012 - books.google.com
This book deals with the general topic “Numerical solution of partial differential equations
(PDEs)” with a focus on adaptivity of discretizations in space and time. By and large …
(PDEs)” with a focus on adaptivity of discretizations in space and time. By and large …