Logo

The Numerical Approximation of Functional Differential Equations

Small book cover: The Numerical Approximation of Functional Differential Equations

The Numerical Approximation of Functional Differential Equations
by

Publisher: arXiv
Number of pages: 113

Description:
The purpose of this manuscript is to provide a new perspective on the problem of numerical approximation of nonlinear functionals and functional differential equations. The proposed methods will be described and demonstrated in various examples.

Home page url

Download or read it online for free here:
Download link
(5.7MB, PDF)

Similar books

Book cover: Iterative Methods for Sparse Linear SystemsIterative Methods for Sparse Linear Systems
by - PWS
The book gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations. The methods described are iterative, i.e., they provide sequences of approximations that will converge to the solution.
(11698 views)
Book cover: Lectures on Numerical Methods for Non-Linear Variational ProblemsLectures on Numerical Methods for Non-Linear Variational Problems
by - Tata Institute of Fundamental Research
Many physics problems have variational formulations making them appropriate for numerical treatment. This book describes the mathematical background and reviews the techniques for solving problems, including those that require large computations.
(10612 views)
Book cover: Numerical Analysis INumerical Analysis I
by - Rice University
This course takes a tour through many algorithms of numerical analysis. We aim to assess alternative methods based on efficiency, to discern well-posed problems from ill-posed ones, and to see these methods in action through computer implementation.
(14149 views)
Book cover: First Semester in Numerical Analysis with JuliaFirst Semester in Numerical Analysis with Julia
by - Florida State University
The book presents the theory and methods, together with the implementation of the algorithms using the Julia programming language. The book covers computer arithmetic, root-finding, numerical quadrature and differentiation, and approximation theory.
(6476 views)