matlab代写代考

%MATLAB script to illustrate Richardson’s extrapolation for derivative %% MyFunc=@(x) x.^2.*cos(x) MyDeriv=@(x)x.*(2.*cos(x)-x.*sin(x)) %% Dexact=MyDeriv(2) %% xi=2; Delta1=0.2; xim1=xi-Delta1; xip1=xi+Delta1; D1=(MyFunc(xip1)-MyFunc(xim1))/(2*Delta1) %% Delta2=0.1; xim1=xi-Delta2; xip1=xi+Delta2; D2=(MyFunc(xip1)-MyFunc(xim1))/(2*Delta2) %% D=D2*(1+1/((Delta1/Delta2)^2-1))-D1*(1/((Delta1/Delta2)^2-1))

Numerical Methods in Engineering (ENGR20005) Lecture 08 Dr. Leon Chan lzhchan@unimelb.edu.au Department of Mechanical Engineering The University of Melbourne Slides prepared by Prof.Andrew Ooi L8.1: Least-Squares Regression 2 Lecture Notes (Chap. 4, pg. 67) Assume that you have a car undergoing a constant acceleration. If all the sensors are perfect and you can read the

Lecture 2. Dynamics and Safe Control Changliu Liu Assistant Professor Robotics Institute Carnegie Mellon University How to Model a Car? 2 All models are wrong, but some are useful. Getting Started: How to Model a Car for Control? How Will You Drive in These Situations? 4 High speed Parking Your control action depends on the

Numerical Methods in Engineering (ENGR20005) Lecture 18 Dr. Leon Chan lzhchan@unimelb.edu.au Department of Mechanical Engineering The University of Melbourne Slides prepared by Prof.Andrew Ooi L18.1: Higher Order Taylor Method 2 Higher Order Taylor Method Recall from the last lecture, that we can compute the solution to = f(t,x) using the explicit Euler formula xn+1 =

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml If you want to visualise functions of two variables, say f(x,y)=xe^{(x-y^2)^2+y^2} then it is more complicated. To visualise f(x,y) , you will need to follow the steps below. Define a two-dimensional mesh/grid. Evalute f(x,y) on the mesh/grid. Plot the function using \texttt{surf()} or \texttt{contour()} functions in MATLAB.

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml Iterative Methods: Convergence In this livescript, you will learn how To determine the convergence of an iterative method. The SOR method can be used to improve the convergence/speed up the computation of the Gauss-Seidel method. Consider an iterative method \{x\}=g(\{x\}) and define the error at step k

[Content_Types].xml _rels/.rels documentation/doc.xml matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml bisection_example bisection_example is a live function function bisection_example%(xlg,xug) prompt = {‘Enter lower bound:’,’Enter upper bound:’}; dlgtitle = ‘Input’; dims = [1 35]; definput = {”,”}; answer = inputdlg(prompt,dlgtitle,dims,definput); func = @(x) x.^3-x;%str2func(answer{3}); %promptl = ‘Enter a lower bound: ‘; xl = [str2double(answer{1})]; %promptu = ‘Enter an