solving 5 non linear simultaneous equation

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I have a set of 5 non-linear equations. first 4 equations are h,k,a,b --> in terms of variable 'bsfc'. the fifth equation bsfc^2 in terms of h,k,a,b. So i have 5 equations and 5 variables. This programming is basically finding the radius of the rotated ellipse. I have my x and y values too. However I am not getting the right solution.
The right solution is bsfc=246
I have my code here:
syms bsfc h k a b
y=86;
x=1717;
phi=0;
eqn1= h == 9.514*bsfc;
eqn2= k == 0.0001*(bsfc+1)^2-0.07*bsfc+19;
eqn3= a == 10* atan(bsfc/30 - 5.8) -3.5;
eqn4= b == 0.025 * atan(bsfc/20 - 10.3) -0.022;
eqn5= bsfc^2 == (((x-h)*cos(phi)+(y-k)*sin(phi))^2/(a^2)+ ((x-h)*sin(phi)-(y-k)*cos(phi))^2/(b^2))
sol=solve([eqn1,eqn2,eqn3,eqn4,eqn5],bsfc,h,k,a,b);
hSol = sol.h
kSol = sol.k
aSol = sol.a
bSol = sol.b
bsfcSol = sol.bsfc

Risposta accettata

Walter Roberson
Walter Roberson il 1 Mag 2016
Given those equations, bsfc approximately 1154.643046927194 or approximately 1325.553297436922
Your proposed value 246 does not come at all close to satisfying eqn5
  8 Commenti
Bibek Tripathi
Bibek Tripathi il 1 Mag 2016
I have an array of x and y values. I have to run them for respective bsfc values. So, yes in forward direction. I would be glad to look at your matlab statements and see how you did it. Thanks.
Walter Roberson
Walter Roberson il 2 Mag 2016
syms bsfc h k a b x y phi;
Q = @(v) sym(v);
eqn1 = h == Q(9.514)*bsfc;
eqn2 = k == Q(0.1e-3)*(bsfc+1)^2-Q(0.7e-1)*bsfc+19;
eqn3 = a == 10*atan((1/30)*bsfc-Q(5.8))-Q(3.5);
eqn4 = b == Q(0.25e-1)*atan((1/20)*bsfc-Q(10.3))-Q(0.22e-1);
eqn5 = bsfc^2 == ((x-h)*cos(phi)+(y-k)*sin(phi))^2/a^2+((x-h)*sin(phi)-(y-k)*cos(phi))^2/b^2;
sol_hkab = solve([eqn2,eqn3,eqn4,eqn5],[h, k, a, b]);
eqn_bsfc1 = subs(eqn1, [h k a b], [sol_hkab.h(1), sol_hkab.k(1), sol_hkab.a(1), sol_hkab.b(1)]);
eqn_bsfc2 = subs(eqn1, [h k a b], [sol_hkab.h(2), sol_hkab.k(2), sol_hkab.a(2), sol_hkab.b(2)]);
xyt = [Q(1256.97), Q(7.076), Q(0.00044)];
bs = linspace(0,750,2000);
s_bsfc1 = subs(eqn_bsfc1, [x y phi], xyt);
eq1f = matlabFunction(feval(symengine,'lhs',s_bsfc1)-feval(symengine,'rhs',s_bsfc1));
eq1fr = @(x) real(eq1f(x));
eq1fi = @(x) imag(eq1f(x));
s_bsfc2 = subs(eqn_bsfc2, [x y phi], xyt);
eq2f = matlabFunction(feval(symengine,'lhs',s_bsfc2)-feval(symengine,'rhs',s_bsfc2));
eq2fr = @(x) real(eq2f(x));
eq2fi = @(x) imag(eq2f(x));
plot(bs, eq1fi(bs), 'b--', bs, eq2fi(bs), 'g--', bs, eq1fr(bs), 'b-', bs, eq2fr(bs), 'g-');
legend({'imag sol1', 'imag sol2', 'real sol1', 'real sol2'});
and then start zooming in on places where the imaginary is 0, looking for real solutions.

Accedi per commentare.

Più risposte (2)

Alex Sha
Alex Sha il 31 Lug 2019
Look this result:
h: -4113.26496133792
bsfc: -432.338129213572
k: 67.8689272162873
a: -18.7135929756326
b: -0.0604868803921316

Alex Sha
Alex Sha il 1 Ago 2019
one more solution:
h: 10985.2739483926
bsfc: 1154.64304691955
k: 71.7260719049847
a: 11.9021369375982
b: 0.0167429176020812

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