Title

A Fast Parallel Algorithm for Delay Partial Differential Equations Modeling the Cell Cycle in Cell Lines Derived from Human Tumors

Document Type

Contribution to Books

Publication Date

7-28-2014

Abstract

We present a fast numerical algorithm for solving delay partial differential equations that model the growth of human tumor cells. The undetermined model parameters need to be estimated according to experimental data and it is desired to shorten the computational time needed in estimating them. To speed up the computations, we present an algorithm invoking parallelization designed for arbitrary numbers of available processors. The presented numerical results demonstrate the efficiency of the algorithm.

Comments

Recent Advances in Delay Differential and Difference Equations is volume 94 of the Springer Proceedings in Mathematics & Statistics series.

Copyright Statement

Recent Advances in Delay Differential and Difference Equations is volume 94 of the Springer Proceedings in Mathematics & Statistics series.