The Newton_NoLS class is used to find optima for functions of vectors. The solve method finds local optima using the Newton method that deflects the gradient using the inverse Hessian.
Solve for an optima by finding a local optima close to the starting point/guess 'x0'. This version numerically approximates the first and second derivatives.
Solve for an optima by finding a local optima close to the starting point/guess 'x0'. This version numerically approximates the first and second derivatives.
Solve for an optima by finding a local optima close to the starting point/guess 'x0'. This version uses explicit functions for the gradient (partials derivatives)
Solve for an optima by finding a local optima close to the starting point/guess 'x0'. This version uses explicit functions for the gradient (partials derivatives)
Value parameters
grd
the gradient as explicit functions for partials (in array form)