clc
close all
lags = 0.6;
k1 = 3;
k_1 = 1;
k2 = 2.5;
k3 = 1;
k_3 = 1;
k4 = 2;
k5 = 1;
E1 = 1;
E2 = 2;
K1 = (k_1+k2)/k1;
K2 = (k_3+k4)/k3;
k3*E2*(L^2+L*(k1*K1+k4+k1*E1)+(E1+K1)*k1*k4+k1*k2*E1)+(L+k3*K2)*(k1*k2*E1+(L+k1*K1+k1*E1)*(L-k5*E1*e^(-L*lags))) = 0;

 Akzeptierte Antwort

Torsten
Torsten am 30 Jul. 2022
Bearbeitet: Torsten am 30 Jul. 2022

1 Stimme

lags = 0.6;
k1 = 3;
k_1 = 1;
k2 = 2.5;
k3 = 1;
k_3 = 1;
k4 = 2;
k5 = 1;
E1 = 1;
E2 = 2;
K1 = (k_1+k2)/k1;
K2 = (k_3+k4)/k3;
fun = @(L) k3*E2*(L.^2+L.*(k1*K1+k4+k1*E1)+(E1+K1)*k1*k4+k1*k2*E1)+(L+k3*K2).*(k1*k2*E1+(L+k1*K1+k1*E1).*(L-k5*E1*exp(-L*lags)));
L0 = -1.5;
L1 = fsolve(fun,L0)
Equation solved. fsolve completed because the vector of function values is near zero as measured by the value of the function tolerance, and the problem appears regular as measured by the gradient.
L1 = -1.6620
L0 = -2.5;
L2 = fsolve(fun,L0)
Equation solved. fsolve completed because the vector of function values is near zero as measured by the value of the function tolerance, and the problem appears regular as measured by the gradient.
L2 = -2.4088
plot((-2.5:0.1:-1),fun(-2.5:0.1:-1))

Weitere Antworten (1)

Walter Roberson
Walter Roberson am 30 Jul. 2022
Bearbeitet: Torsten am 30 Jul. 2022

1 Stimme

syms L
e = exp(sym(1))
e = 
e
lags = 0.6;
k1 = 3;
k_1 = 1;
k2 = 2.5;
k3 = 1;
k_3 = 1;
k4 = 2;
k5 = 1;
E1 = 1;
E2 = 2;
K1 = (k_1+k2)/k1;
K2 = (k_3+k4)/k3;
eqn = k3*E2*(L^2+L*(k1*K1+k4+k1*E1)+(E1+K1)*k1*k4+k1*k2*E1)+(L+k3*K2)*(k1*k2*E1+(L+k1*K1+k1*E1)*(L-k5*E1*e^(-L*lags)))
eqn = 
vpasolve(eqn)
ans = 
There is a second solution near -2.3

2 Kommentare

Akhtar Jan
Akhtar Jan am 30 Jul. 2022
thank you sir
Akhtar Jan
Akhtar Jan am 30 Jul. 2022
this one is also helpfull

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