Elements Of Numerical Analysis With Mathematica

Elements Of Numerical Analysis With Mathematica
Author: John Loustau
Publisher: World Scientific Publishing Company
Total Pages: 164
Release: 2017-08-23
Genre: Mathematics
ISBN: 9813222735

Here we present numerical analysis to advanced undergraduate and master degree level grad students. This is to be done in one semester. The programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing areas of applied mathematics, mathematical finance and mathematical biology.

Elements of Numerical Analysis with Mathematica

Elements of Numerical Analysis with Mathematica
Author: John Loustau
Publisher: World Scientific Publishing Company
Total Pages: 151
Release: 2017-08-24
Genre: Mathematics
ISBN: 9789813222717

Here we present numerical analysis to advanced undergraduate and master degree level grad students. This is to be done in one semester. The programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing areas of applied mathematics, mathematical finance and mathematical biology.

The Mathematical Theory of Finite Element Methods

The Mathematical Theory of Finite Element Methods
Author: Susanne Brenner
Publisher: Springer Science & Business Media
Total Pages: 369
Release: 2013-03-14
Genre: Mathematics
ISBN: 1475736584

A rigorous and thorough mathematical introduction to the subject; A clear and concise treatment of modern fast solution techniques such as multigrid and domain decomposition algorithms; Second edition contains two new chapters, as well as many new exercises; Previous edition sold over 3000 copies worldwide

Numerical Algorithms

Numerical Algorithms
Author: Justin Solomon
Publisher: CRC Press
Total Pages: 400
Release: 2015-06-24
Genre: Computers
ISBN: 1482251892

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig

A First Course in the Numerical Analysis of Differential Equations

A First Course in the Numerical Analysis of Differential Equations
Author: A. Iserles
Publisher: Cambridge University Press
Total Pages: 481
Release: 2009
Genre: Mathematics
ISBN: 0521734908

lead the reader to a theoretical understanding of the subject without neglecting its practical aspects. The outcome is a textbook that is mathematically honest and rigorous and provides its target audience with a wide range of skills in both ordinary and partial differential equations." --Book Jacket.

Numerical and Analytical Methods for Scientists and Engineers Using Mathematica

Numerical and Analytical Methods for Scientists and Engineers Using Mathematica
Author: Daniel Dubin
Publisher: Wiley-Interscience
Total Pages: 664
Release: 2003-05-05
Genre: Science
ISBN:

Written from the perspective of a physicist rather than a mathematician, the text focuses on modern practical applications in the physical engineering sciences, attacking these problems with a range of numerical and analytical methods, both elementary and advanced. Incorporating the widely used and highly praised Mathematica® software package, the author offers solution techniques for the partial differential equations of mathematical physics such as Poisson's equation, the wave equation, and Schrödinger's equation, including Fourier series and transforms, Green's functions, the method of characteristics, grids, Galerkin and simulation methods, elementary probability theory, and statistical methods.

Explorations In Numerical Analysis: Python Edition

Explorations In Numerical Analysis: Python Edition
Author: James V Lambers
Publisher: World Scientific
Total Pages: 691
Release: 2021-01-14
Genre: Mathematics
ISBN: 9811227950

This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus, linear algebra or differential equations.Topics covered include computer arithmetic, error analysis, solution of systems of linear equations, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. For each problem considered, the presentation includes the derivation of solution techniques, analysis of their efficiency, accuracy and robustness, and details of their implementation, illustrated through the Python programming language.This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra.

Mathematica

Mathematica
Author: Stephen Wolfram
Publisher:
Total Pages: 996
Release: 1991
Genre:
ISBN: 9780201515022

Advanced Topics in Finite Element Analysis of Structures

Advanced Topics in Finite Element Analysis of Structures
Author: M. Asghar Bhatti
Publisher: Wiley
Total Pages: 0
Release: 2006-01-03
Genre: Mathematics
ISBN: 9780471648079

Starting from governing differential equations, a unique and consistently weighted residual approach is used to present advanced topics in finite element analysis of structures, such as mixed and hybrid formulations, material and geometric nonlinearities, and contact problems. This book features a hands-on approach to understanding advanced concepts of the finite element method (FEM) through integrated Mathematica and MATLAB® exercises.

Mathematical Theory of Subdivision

Mathematical Theory of Subdivision
Author: Sandeep Kumar
Publisher: CRC Press
Total Pages: 230
Release: 2019-07-09
Genre: Mathematics
ISBN: 1351685449

This book provides good coverage of the powerful numerical techniques namely, finite element and wavelets, for the solution of partial differential equation to the scientists and engineers with a modest mathematical background. The objective of the book is to provide the necessary mathematical foundation for the advanced level applications of these numerical techniques. The book begins with the description of the steps involved in finite element and wavelets-Galerkin methods. The knowledge of Hilbert and Sobolev spaces is needed to understand the theory of finite element and wavelet-based methods. Therefore, an overview of essential content such as vector spaces, norm, inner product, linear operators, spectral theory, dual space, and distribution theory, etc. with relevant theorems are presented in a coherent and accessible manner. For the graduate students and researchers with diverse educational background, the authors have focused on the applications of numerical techniques which are developed in the last few decades. This includes the wavelet-Galerkin method, lifting scheme, and error estimation technique, etc. Features: • Computer programs in Mathematica/Matlab are incorporated for easy understanding of wavelets. • Presents a range of workout examples for better comprehension of spaces and operators. • Algorithms are presented to facilitate computer programming. • Contains the error estimation techniques necessary for adaptive finite element method. This book is structured to transform in step by step manner the students without any knowledge of finite element, wavelet and functional analysis to the students of strong theoretical understanding who will be ready to take many challenging research problems in this area.