scispace - formally typeset
Open AccessBook

Numerical Analysis

Reads0
Chats0
TLDR
This report contains a description of the typical topics covered in a two-semester sequence in Numerical Analysis, and describes the accuracy, efficiency and robustness of these algorithms.
Abstract
Introduction. Mathematical approximations have been used since ancient times to estimate solutions, but with the rise of digital computing the field of numerical analysis has become a discipline in its own right. Numerical analysts develop and study algorithms that provide approximate solutions to various types of numerical problems, and they analyze the accuracy, efficiency and robustness of these algorithms. As technology becomes ever more essential for the study of mathematics, learning algorithms that provide approximate solutions to mathematical problems and understanding the accuracy of such approximations becomes increasingly important. This report contains a description of the typical topics covered in a two-semester sequence in Numerical Analysis.

read more

Citations
More filters
Journal ArticleDOI

A new encryption algorithm for image cryptosystems

TL;DR: The method is based on vector quantization, which is one of the popular image compression techniques and can achieve the following two goals: to design a high security image cryptosystem and to reduce computational complexity of the encryption and decryption algorithms.
Journal ArticleDOI

Stable Generalized Finite Element Method (SGFEM)

TL;DR: It is shown that SGFEM retains the excellent convergence properties of GFEM, does not require a ramp-function in the presence of blending elements, and the conditioning of the associated stiffness matrix is not worse than that of the standard FEM.
Book ChapterDOI

On the Barzilai-Borwein Method

TL;DR: A review is given of the underlying theory and recent developments in regard to the Barzilai-Borwein steepest descent method for large scale unconstrained optimization to assess why the method seems to be comparable in practical efficiency to conjugate gradient methods.
Journal ArticleDOI

An empirically based model for latitudinal gradient in vole population dynamics.

TL;DR: The striking success of the model at predicting the shifts in amplitude and stability along the geographical gradient in northern Europe provides strong support for the key role of specialist and generalist predators in vole population dynamics.