Accession Number:

ADA455254

Title:

A New Parallel Optimization Algorithm for Parameter Identification in Ordinary Differential Equations

Descriptive Note:

Technical rept.

Corporate Author:

RICE UNIV HOUSTON TX DEPT OF MATHEMATICAL SCIENCES

Report Date:

1988-09-01

Pagination or Media Count:

16.0

Abstract:

Often in mathematical modeling, it is necessary to estimate numerical values for parameters occurring in a system of ordinary differential equations from experimental measurements of the solution trajectories. We will discuss some of the difficulties involved in the solution of this problem, and we will describe a new parallel quasi-Newton algorithm for finding values of the parameters so that the numerical solution of the state equation best fits the observed data in the weighted least squares sense.

Subject Categories:

  • Numerical Mathematics
  • Physical Chemistry

Distribution Statement:

APPROVED FOR PUBLIC RELEASE