About this book
This book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other dimension-wise integration techniques with applications to finance and insurance. The book focuses on providing insights into the interplay between coordinate transformations, effective dimensions and the convergence behaviour of sparse grid methods. The techniques, derivations and algorithms are illustrated by many examples, figures and code segments. Numerical experiments with applications from finance and insurance show that the approaches presented in this book can be faster and more accurate than (quasi-) Monte Carlo methods, even for integrands with hundreds of dimensions.
ANOVA decomposition computational finance effective dimension numerical integration sparse grids
Springer-Verlag Berlin Heidelberg 2011
Springer, Berlin, Heidelberg
Mathematics and Statistics
Series Print ISSN
Buy this book on publisher's site