2.086 Numerical Computation for Mechanical Engineers, Spring 2012

This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statis...

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Main Authors: Patera, Anthony, Penn, James Douglass, Yano, Masayuki
Language:en-US
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/1721.1/80350
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author Patera, Anthony
Penn, James Douglass
Yano, Masayuki
author_facet Patera, Anthony
Penn, James Douglass
Yano, Masayuki
author_sort Patera, Anthony
collection MIT
description This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis. Assignments require MATLAB® programming.
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spelling mit-1721.1/803502019-09-12T11:59:56Z 2.086 Numerical Computation for Mechanical Engineers, Spring 2012 Numerical Computation for Mechanical Engineers Patera, Anthony Penn, James Douglass Yano, Masayuki MATLAB numerical analysis programming physical modeling calculus linear algebra Monte Carlo Method differential equations nonlinear systems This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis. Assignments require MATLAB® programming. 2012-06 2.086-Spring2012 local: 2.086 local: IMSCP-MD5-8fca9b834a4d67663c99f1426e5c3d80 http://hdl.handle.net/1721.1/80350 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2013. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. Usage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ text/html Spring 2012
spellingShingle MATLAB
numerical analysis
programming
physical modeling
calculus
linear algebra
Monte Carlo Method
differential equations
nonlinear systems
Patera, Anthony
Penn, James Douglass
Yano, Masayuki
2.086 Numerical Computation for Mechanical Engineers, Spring 2012
title 2.086 Numerical Computation for Mechanical Engineers, Spring 2012
title_full 2.086 Numerical Computation for Mechanical Engineers, Spring 2012
title_fullStr 2.086 Numerical Computation for Mechanical Engineers, Spring 2012
title_full_unstemmed 2.086 Numerical Computation for Mechanical Engineers, Spring 2012
title_short 2.086 Numerical Computation for Mechanical Engineers, Spring 2012
title_sort 2 086 numerical computation for mechanical engineers spring 2012
topic MATLAB
numerical analysis
programming
physical modeling
calculus
linear algebra
Monte Carlo Method
differential equations
nonlinear systems
url http://hdl.handle.net/1721.1/80350
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