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: Robust Geometric ComputationRobust Geometric Computation
by - New York University
Contents: Introduction to Geometric Nonrobustness; Modes of Numerical Computation; Geometric Computation; Arithmetic Approaches; Geometric Approaches; Exact Geometric Computation; Perturbation; Filters; Algebraic Background; Zero Bounds; etc.
(11416 views)
Book cover: Iterative Methods for Linear and Nonlinear EquationsIterative Methods for Linear and Nonlinear Equations
by - SIAM
This book focuses on a small number of methods and treats them in depth. The author provides a complete analysis of the conjugate gradient and generalized minimum residual iterations as well as recent advances including Newton-Krylov methods.
(11770 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.
(6859 views)
Book cover: Computing of the Complex Variable FunctionsComputing of the Complex Variable Functions
by - MiC
Hardware algorithms for computing of all elementary complex variable functions are proposed. Contents: A method 'digit-by-digit'; Decomposition; Compositions; Two-step-by-step operations; Taking the logarithm; Potentiation; and more.
(9894 views)