Description
Solves nonnegative least-squares curve fitting problems specified by :
The routine calls Ipopt for solving the nonnegative least-squares curve fitting problems, Ipopt is a library written in C++.
Solves nonnegative least-squares curve fitting problems.
xopt = lsqnonneg(C,d) xopt = lsqnonneg(C,d,param) [xopt,resnorm,residual,exitflag,output,lambda] = lsqnonneg( ... )
a matrix of double, represents the multiplier of the solution x in the expression C*x - d. Number of columns in C is equal to the number of elements in x.
a vector of double, represents the additive constant term in the expression C*x - d. Number of elements in d is equal to the number of rows in C matrix.
a vector of double, the computed solution of the optimization problem.
a double, objective value returned as the scalar value norm(C*x-d)^2.
a vector of double, solution residuals returned as the vector C*x-d.
Integer identifying the reason the algorithm terminated. It could be 0, 1 or 2 i.e. Optimal, Maximum Number of Iterations Exceeded, CPU time exceeded.
Structure containing information about the optimization. This version only contains number of iterations.
Structure containing the Lagrange multipliers at the solution x. It contains lower and upper bound multiplier.
Solves nonnegative least-squares curve fitting problems specified by :
The routine calls Ipopt for solving the nonnegative least-squares curve fitting problems, Ipopt is a library written in C++.
// A basic lsqnonneg problem C = [ 0.0372 0.2869 0.6861 0.7071 0.6233 0.6245 0.6344 0.6170]; d = [ 0.8587 0.1781 0.0747 0.8405]; [xopt,resnorm,residual,exitflag,output,lambda] = lsqnonneg(C,d) |  |  |