⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 ex03ch3.m

📁 these codes are for solving OED with matlab
💻 M
字号:
function ex03ch3epsilon = 0.1;k = 0.1;d = 0.001;solinit = bvpinit(linspace(d,1,5),[0.01; 0],0.01);sol = bvp4c(@odes,@bcs,solinit,[],epsilon,k,d);p = sol.parameters;    % unknown parameterxint = linspace(d,1);Sxint = deval(sol,xint);% Augment the solution array with the values y(0) = p, y'(0) = 0% to get a solution on [0, 1]. For this problem the solution is% flat near x = 0, but if it had been necessary for a smooth graph, % other values in [0,d] could have been obtained from the series. x = [0 xint];y = [[p; 0] Sxint];plot(x,y(1,:))title('Michaelis-Menten kinetics problem with coordinate singularity.')%==========================================function dydx = odes(x,y,p,epsilon,k,d)dydx = [ y(2)         -2*(y(2)/x) + y(1)/(epsilon*(y(1) + k)) ];function res = bcs(ya,yb,p,epsilon,k,d)% The boundary conditions at x = d are that y and y' % have values yatd and ypatd obtained from series % expansions. The unknown parameter p = y(0) is used % in the expansions. y''(d) also appears in the expansions.% It is evaluated as a limit in the differential equation.yp2atd = p/(3*epsilon*(p + k));yatd = p + 0.5*yp2atd*d^2;ypatd = yp2atd*d;res = [ yb(1) - 1        ya(1) - yatd        ya(2) - ypatd ];

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -