Cubic-matrix splines and second-order matrix models
M.M. Tung, L. Soler, E. Defez, and A. Hervas

TL;DR
This paper explores the application of cubic-matrix splines to approximate solutions of second-order matrix differential equations, providing error estimates, algorithms, and an illustrative example.
Contribution
It introduces a novel approach using cubic-matrix splines for solving matrix models of the form Y''(x) = f(x,Y(x)), including implementation details and error analysis.
Findings
Effective approximation of matrix models using cubic-matrix splines
Error estimation and algorithm for implementation provided
Numerical example demonstrating the method's applicability
Abstract
We discuss the direct use of cubic-matrix splines to obtain continuous approximations to the unique solution of matrix models of the type . For numerical illustration, an estimation of the approximation error, an algorithm for its implementation, and an example are given.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical and numerical algorithms · Matrix Theory and Algorithms · Geophysics and Gravity Measurements
