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;

 Réponse acceptée

Torsten
Torsten le 30 Juil 2022
Modifié(e) : Torsten le 30 Juil 2022
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))

Plus de réponses (1)

Walter Roberson
Walter Roberson le 30 Juil 2022
Modifié(e) : Torsten le 30 Juil 2022
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 commentaires

Akhtar Jan
Akhtar Jan le 30 Juil 2022
thank you sir
Akhtar Jan
Akhtar Jan le 30 Juil 2022
this one is also helpfull

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