Logo

Introduction to Numerical Methods and Matlab Programming for Engineers

Small book cover: Introduction to Numerical Methods and Matlab Programming for Engineers

Introduction to Numerical Methods and Matlab Programming for Engineers
by

Publisher: Ohio University
Number of pages: 182

Description:
The main goals of these lectures are to introduce concepts of numerical methods and introduce Matlab in an Engineering framework. These notes were developed by the author in the process of teaching a course on applied numerical methods for Civil Engineering.

Home page url

Download or read it online for free here:
Download link
(900KB, PDF)

Similar books

Book cover: The Calculus Of Finite DifferencesThe Calculus Of Finite Differences
by - Macmillan and co
The object of this book is to provide a simple account of the subject of Finite Differences and to present the theory in a form which can be readily applied -- not only the useful material of Boole, but also the more modern developments.
(17638 views)
Book cover: Lectures on Numerical AnalysisLectures on Numerical Analysis
by - University of Pennsylvania
Contents: Differential and Difference Equations (Linear equations with constant coefficients, Difference equations, Stability theory); The Numerical Solution of Differential Equations (Euler's method); Numerical linear algebra.
(14207 views)
Book cover: Numerical Solutions of Engineering ProblemsNumerical Solutions of Engineering Problems
by - University of Alberta
Contents: On mathematical models; Single nonlinear algebraic equation; System of linear and nonlinear algebraic equations; Numerical differentiation and integration; Ordinary differential equations; Boundary value problems; etc.
(18891 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.
(8802 views)