TL;DR: A sparse matrix method for the numerical solution of nonlinear differential equations arising in modeling of the renal concentrating mechanism using a renumbering of variables and equations such that the resulting Jacobian matrix has a block tridiagonal structure.
Abstract: A sparse matrix method for the numerical solution of nonlinear differential equations arising in modeling of the renal concentrating mechanism is given. The method involves a renumbering of the variables and equations such that the resulting Jacobian matrix has a block tridiagonal structure and the blocks above and below the main diagonal have a known set of complementary nonzero columns. The computer storage for the method is O ( n ). Results of some numerical experiments showing the stability of the method are given.
TL;DR: New algorithms are presented for solving periodic pentadi diagonal linear systems based on the use of any pentadiagonal linear solver and an efficient way of evaluating the determinant of a periodic pentadagonal matrix is discussed.
TL;DR: In this paper, the performance of three numerical methods adjusted to attain the estimation of the diagonal of matrix functions f(A), where A∈Rp×p is a symmetric matrix and f a suitable function, is compared and analyzed.