matlab代写代考

clear all; close all; epsilon=0.00001; Delta_t=1; t=0:Delta_t:2.0/epsilon; %Preallocating memory x=zeros(size(t)); x(1)=epsilon; for n=1:length(t)-1 x(n+1)=x(n)+f(t(n),x(n))*Delta_t; end % %Computing Matlab solution % [tmat,xmat]=ode23(@f,[0 2/epsilon],epsilon); plot(t,x,’ko-‘,tmat,xmat,’bs-‘) hold on xlabel(‘t’); ylabel(‘x’); legend(‘Explicit Euler’,’MATLAB’); function dxdt=f(t,x) dxdt=x*(x-x^2); end

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml MATLAB Stiff Problems In this livescript, you will learn how To solve a common class of problems called stiff problems . Consider a linear oscillator that is governed by the following second order differential equation. \frac{d^{2}x}{dt^{2}}+2001\frac{dx}{dt}+2000x=0 with the initial conditions x(0)=1 and x'(0)=0 . (a) Show that

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml Direct Methods: Gaussian Elimination In this livescript, you will learn how To use Gaussian elimination to reduce a matrix to row-echelon form Write a piece of code that implements the method. In Linear Algebra, Gaussian elimination is a method of solving systems of linear equations. The idea

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml MATLAB Differentiation In this livescript, you will learn how To compute derivatives numerically and symbolically using MATLAB. Numerical Differentiation As an example, we’ll consider the function f(x)=\frac{1}{x} (a) Analytically compute the derivative of f at x\in\{1,1.25,1.5,1.75,2\} . To compute the gradient of the vector of values, MATLAB

[Content_Types].xml _rels/.rels matlab/document.xml matlab/output.xml metadata/coreProperties.xml metadata/mwcoreProperties.xml metadata/mwcorePropertiesExtension.xml metadata/mwcorePropertiesReleaseInfo.xml MATLAB Root Finding Methods In this livescript, you will learn how to Plot graph of a function Use the inbuilt MATLAB \texttt{roots()} function to find roots of a polynomial function Use the inbuilt MATLAB \texttt{fzero()} function to find roots of a general function Suppose you would like

Digital System Design 4 Parallel Computing Architecture 2 Stewart Smith Digital Systems Design 4 This Lecture • ‣ ‣ ‣ ‣ ‣ Parallel Computing and Performance Definitions Speedup and Efficiency Return to Amdahl’s Law Scaling Load balancing Stewart Smith Digital Systems Design 4 Parallel Computing • ‣ • • • ‣ Goal: connecting multiple computers

SWEN90004 Modelling Complex Software Systems Lecture Cx.03 ODE Models I: Predator-Prey Artem Polyvyanyy, Nic Geard artem.polyvyanyy@unimelb.edu.au; nicholas.geard@unimelb.edu.au Semester 1, 2021 SLIDE 1 Recap 􏰀 complex systems 􏰀 building a mathematical model 􏰀 assumptions 􏰀 states 􏰀 update rules 􏰀 population growth models 􏰀 exponential 􏰀 logistic 􏰀 behaviour of dynamic systems 􏰀 fixed points 􏰀