matlab代写代考

CS计算机代考程序代写 matlab [Content_Types].xml

[Content_Types].xml _rels/.rels mathml/eqn1.mml mathml/eqn2.mml mathml/eqn3.mml mathml/eqn4.mml mathml/eqn5.mml mathml/eqn6.mml mathml/eqn7.mml matlab/_rels/document.xml.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml x T=27 f(y) f(y)=0 y=0.8. x=0 0<x<1. clear all close all Plot the function T=80e^{-(x-1)^2}e^{-3(y-1)^2} x=0:0.02:1; y=0:0.02:1 ; [X,Y]=meshgrid(x,y); % a 2-d matrix consisting of x and y above T=80.*exp(-(X-1).^2).*exp(-3.*(Y-1).^2); contour(X,Y,T,[You ]) xlabel(‘x’) ylabel(‘y’) Need to solve f(y)=80e^{-(x-1)^2}e^{-3(y-1)^2}-T x […]

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CS计算机代考程序代写 matlab [Content_Types].xml

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml close all clear all QUESTION 1.1 Set d^2x/dt^2=0 dx/dt=\sqrt{\frac{2F }{C_D\rho A}} Put in the numerical values \sqrt{\frac{2\times 4000}{0.6\times 0.1\times 3}} =210.8185 QUESTION 1.2 Express the 2nd order equation as a set of first order ordinary differential equation Let x_0=x x_1=\frac{dx}{dt} So \frac{dx_0}{dt}=x_1 \frac{dx_1}{dt}=\frac{F}{m}-\frac{C_D\rho A}{ 2m}x_1^2 QUESTION 1.3

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CS计算机代考程序代写 scheme matlab [Content_Types].xml

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml Numerical Differentiation In this livescript, you will learn how To approximate derivatives using finite differences. To determine the error in a finite difference scheme. To be able to approximate a derivative, we should recall the definition of a derivative f'(x)=\lim_{\Delta\rightarrow0}{\frac{f(x+\Delta)-f(x)}{\Delta}} What this is saying is the derivative

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CS计算机代考程序代写 matlab [Content_Types].xml

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml MATLAB Systems of Linear Equations In this livescript, you will learn how MATLAB solves systems of linear equations Consider the system of equations 2x-3y+5z=10 4x+7y-2z=-5 2x-4y+25z=31 Equation 1. In order to solve such a system using numerical linear algebra, we have to place these equations into matrix

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CS计算机代考程序代写 matlab Assignment 1 Safe Autonomous Driving 2021

Assignment 1 Safe Autonomous Driving 2021 1 Vehicle Control Consider the 4-state unicycle model introduced in lecture 2, please address the following three problems. 1.1 [10pt] Define the energy function and the associate tracking control for Unicycle4 to track a goal position with the goal velocity to be zero. 1.2 [10pt] Derive the conditions where

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CS计算机代考程序代写 matlab [Content_Types].xml

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml Variables and Arrays In this live script, you will learn how to create variables and arrays to manipulate the data in the arrays to plot data in the arrays A variable in MATLAB is an entity that you can store value(s) in. For example, the command a=1

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CS计算机代考程序代写 matlab [Content_Types].xml

[Content_Types].xml _rels/.rels matlab/_rels/document.xml.rels matlab/document.xml matlab/output.xml media/image1.png media/image2.png metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml MATLAB Least Squares Regression In this livescript, you will learn how To perform least squares regression using inbuilt MATLAB functions. Consider the data set x = [0.6939 2.0925 3.3455 4.1205 4.8542 6.1242 6.9356 8.3777 8.8859 10.1363]; y = [3.7744 8.0446 16.9718 23.9429 32.5361 52.6056

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CS计算机代考程序代写 matlab clear all

clear all Nmax=40; counter=1; for i=3:Nmax Npoints=i; Npointsarray(counter)=Npoints; xpoints=linspace(-1,1,Npoints)’; %[xpoints,w]=lgwt(Npoints,-1,1); %[xpoints,w,P]=lglnodes(Npoints); ypoints=exp(xpoints).*sin(5*xpoints); n=length(xpoints)-1; %order of polynomial D=DerivMatrix(xpoints,n); dfexact=exp(xpoints).*(sin(5*xpoints)+5*cos(5*xpoints)); dfapprox=D*ypoints; l2norm(counter)=(1./Npoints)*sum(abs(dfexact-dfapprox)); counter=counter+1; end plot(Npointsarray,log10(l2norm),’k-‘,’LineWidth’,3) axis([0 Nmax -15 2]) xlabel(‘N’) ylabel(‘log_{10}(error)’) function D=DerivMatrix(x,n) D=zeros(n+1,n+1); for i=1:n+1 num(i)=1.0; for k=1:n+1 if k ~= i num(i)=num(i)*(x(i)-x(k)); end end end for j=1:n+1 den(j)=1.0; for k=1:n+1 if k ~= j den(j)=den(j)*(x(j)-x(k));

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CS计算机代考程序代写 matlab [Content_Types].xml

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml MATLAB Boundary Value Problems In this livescript, you will learn how To solve boundary value problems in MATLAB Many physical problems are governed by systems of differential equations. For example, the long-term heat distribution over a one-dimensional piece of metal is given by the heat equation \frac{\partial

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CS计算机代考程序代写 matlab [Content_Types].xml

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml MATLAB Functions In this livescript, you will learn how MATLAB functions work To write a function In workshop 2 we tended to work with scripts, such as with \texttt{linear\_equation\_solver} %%%%%%%%%%%%%%%%%%%%%%%%%% % linear_equation_solver % %%%%%%%%%%%%%%%%%%%%%%%%%% x = 5; % Initial Guess tol = 10e-6; % Specified Tolerance i

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