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.
Copyright Statement
Recent Advances in Delay Differential and Difference Equations is volume 94 of the Springer Proceedings in Mathematics & Statistics series.
Publication Information
Zubik-Kowal, Barbara. (2014). "A Fast Parallel Algorithm for Delay Partial Differential Equations Modeling the Cell Cycle in Cell Lines Derived from Human Tumors". Recent Advances in Delay Differential and Difference Equations, 251-260. https://doi.org/10.1007/978-3-319-08251-6_12
Comments
Recent Advances in Delay Differential and Difference Equations is volume 94 of the Springer Proceedings in Mathematics & Statistics series.