Sparse grids

HJ Bungartz, M Griebel - Acta numerica, 2004 - cambridge.org
We present a survey of the fundamentals and the applications of sparse grids, with a focus
on the solution of partial differential equations (PDEs). The sparse grid approach, introduced …

[图书][B] Tools for computational finance

R Seydel, R Seydel - 2006 - Springer
Universitext is a series of textbooks that presents material from a wide variety of
mathematical disciplines at master's level and beyond. The books, often well class-tested by …

[图书][B] Lecture notes in computational science and engineering

TJ Barth, M Griebel, DE Keyes, RM Nieminen, D Roose… - 2005 - Springer
The FEniCS Project set out in 2003 with an idea to automate the solution of mathematical
models based on differential equations. Initially, the FEniCS Project consisted of two …

Sparse grids in a nutshell

J Garcke - Sparse grids and applications, 2013 - Springer
The technique of sparse grids allows to overcome the curse of dimensionality, which
prevents the use of classical numerical discretization schemes in more than three or four …

[图书][B] Sparse grids and related approximation schemes for higher dimensional problems

M Griebel - 2005 - webdoc.sub.gwdg.de
The efficient numerical treatment of high dimensional problems is hampered by the curse of
dimensionality. We review approximation techniques which overcome this problem to some …

Efficient hierarchical approximation of high-dimensional option pricing problems

C Reisinger, G Wittum - SIAM Journal on Scientific Computing, 2007 - SIAM
A major challenge in computational finance is the pricing of options that depend on a large
number of risk factors. Prominent examples are basket or index options where dozens or …

[HTML][HTML] Space–time adaptive finite difference method for European multi-asset options

P Lötstedt, J Persson, L von Sydow, J Tysk - Computers & Mathematics with …, 2007 - Elsevier
The multi-dimensional Black–Scholes equation is solved numerically for a European call
basket option using a priori–a posteriori error estimates. The equation is discretized by a …

A sparse grid space-time discretization scheme for parabolic problems

M Griebel, D Oeltz - Computing, 2007 - Springer
In this paper, we consider the discretization in space and time of parabolic differential
equations where we use the so-called space-time sparse grid technique. It employs the …

Variational Monte Carlo approach to partial differential equations with neural networks

M Reh, M Gärttner - Machine Learning: Science and Technology, 2022 - iopscience.iop.org
The accurate numerical solution of partial differential equations (PDEs) is a central task in
numerical analysis allowing to model a wide range of natural phenomena by employing …

[PDF][PDF] Sparse grid methods for higher dimensional approximation.

C Feuersänger - 2010 - core.ac.uk
Diese Arbeit befasst sich mit Dünngitterverfahren zur Lösung von höherdimensionalen
Problemen. Sie zeigt drei neue Aspekte von Dünnen Gittern auf: Erweiterungen der …