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2012 May 08
1
Translation of Linear minimization probelm from matlab to r
Hi everyone, i?m a new user of R and i?m trying to translate an linear
optimization problem from Matlab into r.
The matlab code is as follow:
options = optimset('Diagnostics','on');
[x fval exitflag] = linprog(f,A,b,Aeq,beq,lb,ub,[],options);
exitflag
fval
x=round(x);
Where:
f = Linear objective function vector (vector of 45,rows)
A = Matrix for linear inequality constraints (3colums 45 rows matrix)
b = Vector for linear inequality constraints (3 rows vector)
Aeq = Matrix for linear equality constraints (45...
2025 Mar 27
1
Problem with minimization that I failed to understand
...-as.vector(as.matrix(MyDat) %*% matrix(Wts, nc = 1)[, 1, drop =
T])))$tau[1])
q1 = pracma::fmincon(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04,
0.09, 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02, 0.02),
fn = Fn,
A = matrix(c(rep(0, 20), -1), nrow = 1), b = -2.05/100, Aeq =
matrix(c(rep(1, 20), 1), nrow = 1), beq = 1,
lb = rep(0.01, 21),
tol = 1e-16, maxfeval = 10000000, maxiter = 5000000)
Fn(q1$par) < Fn(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04, 0.09,
0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02, 0.02))
#FALSE
On F...
2025 Mar 27
1
Problem with minimization that I failed to understand
...) %*% matrix(Wts, nc = 1)[, 1, drop =
> T])))$tau[1])
> q1 = pracma::fmincon(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04,
> 0.09, 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02, 0.02),
> fn = Fn,
> A = matrix(c(rep(0, 20), -1), nrow = 1), b = -2.05/100, Aeq =
> matrix(c(rep(1, 20), 1), nrow = 1), beq = 1,
> lb = rep(0.01, 21),
> tol = 1e-16, maxfeval = 10000000, maxiter = 5000000)
>
>
> However with above code, I got sub-optimal value in terms of minimization
> of the objective function:
>
> q1$value...
2025 Mar 27
1
Problem with minimization that I failed to understand
...) %*% matrix(Wts, nc = 1)[, 1, drop =
> T])))$tau[1])
> q1 = pracma::fmincon(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04,
> 0.09, 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02, 0.02),
> fn = Fn,
> A = matrix(c(rep(0, 20), -1), nrow = 1), b = -2.05/100, Aeq =
> matrix(c(rep(1, 20), 1), nrow = 1), beq = 1,
> lb = rep(0.01, 21),
> tol = 1e-16, maxfeval = 10000000, maxiter = 5000000)
>
> Fn(q1$par) < Fn(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04, 0.09,
> 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05,...
2025 Mar 27
2
Problem with minimization that I failed to understand
...-as.vector(as.matrix(MyDat) %*% matrix(Wts, nc = 1)[, 1, drop =
T])))$tau[1])
q1 = pracma::fmincon(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04,
0.09, 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02, 0.02),
fn = Fn,
A = matrix(c(rep(0, 20), -1), nrow = 1), b = -2.05/100, Aeq =
matrix(c(rep(1, 20), 1), nrow = 1), beq = 1,
lb = rep(0.01, 21),
tol = 1e-16, maxfeval = 10000000, maxiter = 5000000)
However with above code, I got sub-optimal value in terms of minimization
of the objective function:
q1$value
#0.1632184
Fn(c(0.12, 0.04, 0.07, 0.03, 0.06,...
2025 Mar 28
3
Problem with minimization that I failed to understand
...drop =
> > T])))$tau[1])
> > q1 = pracma::fmincon(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04,
> > 0.09, 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02,
> 0.02),
> > fn = Fn,
> > A = matrix(c(rep(0, 20), -1), nrow = 1), b = -2.05/100, Aeq =
> > matrix(c(rep(1, 20), 1), nrow = 1), beq = 1,
> > lb = rep(0.01, 21),
> > tol = 1e-16, maxfeval = 10000000, maxiter = 5000000)
> >
> >
> > However with above code, I got sub-optimal value in terms of minimization
> > of the object...
2025 Mar 28
1
Problem with minimization that I failed to understand
...) %*% matrix(Wts, nc = 1)[, 1, drop =
> T])))$tau[1])
> q1 = pracma::fmincon(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04,
> 0.09, 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02, 0.02),
> fn = Fn,
> A = matrix(c(rep(0, 20), -1), nrow = 1), b = -2.05/100, Aeq =
> matrix(c(rep(1, 20), 1), nrow = 1), beq = 1,
> lb = rep(0.01, 21),
> tol = 1e-16, maxfeval = 10000000, maxiter = 5000000)
>
>
> However with above code, I got sub-optimal value in terms of minimization
> of the objective function:
>
> q1$value...
2025 Mar 28
1
Problem with minimization that I failed to understand
...T])))$tau[1])
>>> q1 = pracma::fmincon(c(0.12, 0.04, 0.07, 0.03, 0.06, 0.07, 0.07, 0.04,
>>> 0.09, 0.08, 0.02, 0.02, 0.03, 0.06, 0.02, 0, 0.07, 0.05, 0.02, 0.02,
>> 0.02),
>>> fn = Fn,
>>> A = matrix(c(rep(0, 20), -1), nrow = 1), b = -2.05/100, Aeq =
>>> matrix(c(rep(1, 20), 1), nrow = 1), beq = 1,
>>> lb = rep(0.01, 21),
>>> tol = 1e-16, maxfeval = 10000000, maxiter = 5000000)
>>>
>>>
>>> However with above code, I got sub-optimal value in terms of minimization
>...
2009 Jul 23
1
[PATCH server] changes required for fedora rawhide inclusion.
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