Introduction to Numerical Methods and Matlab Programming for Engineers

These notes were developed for a course on applied numerical methods for Civil Engineering and Mechanical Engineering. The main goals these lectures are to introduce concepts of numerical methods and introduce Matlab in an Engineering framework.

**Tag(s):**
Numerical Methods

**Publication date**: 05 May 2015

**ISBN-10**:
n/a

**ISBN-13**:
n/a

**Paperback**:
180 pages

**Views**: 6,645

**Type**: Lecture Notes

**Publisher**:
n/a

**License**:
GNU Free Documentation License Version 1.3

**Post time**: 21 Dec 2016 08:00:00

Introduction to Numerical Methods and Matlab Programming for Engineers

These notes were developed for a course on applied numerical methods for Civil Engineering and Mechanical Engineering. The main goals these lectures are to introduce concepts of numerical methods and introduce Matlab in an Engineering framework.

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License".

Click**here** to read the full license.

Click

From the Introduction:

More Resources:

Todd Young wrote:These notes were developed by the first author in the process of teaching a course on applied numerical methods for Civil Engineering majors during 2002-2004 and was modified to include Mechanical Engineering in 2005. The materials have been periodically updated since then and underwent a major revision by the second author in 2006-2007.

The main goals of these lectures are to introduce concepts of numerical methods and introduce Matlab in an Engineering framework. By this we do not mean that every problem is a “real life” engineering application, but more that the engineering way of thinking is emphasized throughout the discussion.

...

In these lecture notes, instruction on using Matlab is dispersed through the material on nu- merical methods. In these lectures details about how to use Matlab are detailed (but not verbose) and explicit. To teach programming, students are usually given examples of working programs and are asked to make modifications.

More Resources:

- MATH 3600 Applied Numerical Methods course webpage at Ohio University

Tweet

About The Author(s)

Martin J. Mohlenkamp is Associate Professor in the Department of Mathematics, College of Arts & Sciences at Ohio University. His research interests are fast algorithms, numerical analysis, applied mathematics, and mathematics.

Todd Young is a professor in the Department of Mathematics at Ohio University. His research interests are differential equations and dynamical systems, especially global bifurcation theory, random dynamical systems and applications to biological systems.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors