Faster processing time for code
5 次查看(过去 30 天)
显示 更早的评论
I've got some code that operates how I want it to. It takes some input values and calculates the quartic roots of an equation containing those input values. The issue is that the code takes ~6hrs to fully run. I have shortened the range of values I'm testing, but it's still a hassle if I want to check results, seeing as the code takes so long to run. I was looking for any advice or alternative methods on running this code more quickly. Thanks for your assistance!
clear
clc
%%CONSTANTS%%
c = 2.998e8; %ms-1, speed of light
e = 1.602e-19; %C, electric charge
m_p = 1.673e-27; %kg, proton mass
m_e = 9.109e-31; %kg, electron mass
K = 1.381e-23; %JK-1, Boltzmann constant
eps_0 = 8.854e-12; %F/m, permittivity of free space
T_e = 1e5; %electron temperature in Kelvin
n_0 = 10e6; %density of 10 particles/cubic cm
V_s = ((K*T_e)/m_p)^(1/2); %ion sound speed
v_b = 0.8 * V_s; %beam speed, m/s
w_pe = ((n_0 * e^2)/(eps_0 * m_e))^(1/2);
w_range = [1e-4:1e-4:1e-1];
w = w_range .* w_pe;
V_e = sqrt((K*T_e)/m_e);
lambda_D = w_pe/V_e;
klambda_D = [1e-4:1e-4:1e-1];
k = [klambda_D./lambda_D]
n_bn_0 = 1e-3;
%%FINISH CONSTANTS%%
A = (k.^2 .* V_s.^2)./(1 + klambda_D.^2);
a = 1;
b = -2 .* k .* v_b^2;
d = (k.^2 .* v_b.^2) - A - n_bn_0 .* A;
f = 2 .* A .* k .* v_b;
g = -A .* k.^2 .* v_b.^2;
N = numel(k);
R = nan(4,N);
for poly = 1:N % loop over indices
poly = [a, b, d, f, g]
R = roots(poly)
end
format long
Roots = array2table(R)
R_real = real(R)
R_imag = imag(R)
1 个评论
Dyuman Joshi
2023-4-28
编辑:Dyuman Joshi
2023-4-28
You are just running the same loop over and over again.
Do you want to get roots corresponding to each value in k?
回答(1 个)
VBBV
2023-4-28
编辑:VBBV
2023-4-28
did you try changing step size ?
clear
clc
tic
%%CONSTANTS%%
c = 2.998e8; %ms-1, speed of light
e = 1.602e-19; %C, electric charge
m_p = 1.673e-27; %kg, proton mass
m_e = 9.109e-31; %kg, electron mass
K = 1.381e-23; %JK-1, Boltzmann constant
eps_0 = 8.854e-12; %F/m, permittivity of free space
T_e = 1e5; %electron temperature in Kelvin
n_0 = 10e6; %density of 10 particles/cubic cm
V_s = ((K*T_e)/m_p)^(1/2); %ion sound speed
v_b = 0.8 * V_s; %beam speed, m/s
w_pe = ((n_0 * e^2)/(eps_0 * m_e))^(1/2);
w_range = [1e-4:1e-4:1e-1];
w = w_range .* w_pe;
V_e = sqrt((K*T_e)/m_e);
lambda_D = w_pe/V_e;
% did you try increasing step size
klambda_D = [1e-4:1e-2:1e-1];
k = [klambda_D./lambda_D]
n_bn_0 = 1e-3;
%%FINISH CONSTANTS%%
A = (k.^2 .* V_s.^2)./(1 + klambda_D.^2);
a = 1;
b = -2 .* k .* v_b^2;
d = (k.^2 .* v_b.^2) - A - n_bn_0 .* A;
f = 2 .* A .* k .* v_b;
g = -A .* k.^2 .* v_b.^2;
N = numel(k);
R = nan(4,N);
for poly = 1:N % loop over indices
poly = [a, b, d, f, g];
R = roots(poly);
end
toc
format long
Roots = array2table(R);
R_real = real(R);
R_imag = imag(R);
1 个评论
VBBV
2023-4-28
Note: You dont need a for loop in this case,
poly = [a, b, d, f, g];
R = roots(poly);
The above lines are enough. Also the fo loop seem to be used incorrectly
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!