distsuml2 function

distsuml2 and distsuml2gra at orloca package

distsum and distsumgra functions for the Euclidean norm ($l_2$). Mainly for internal use.

distsuml2(o, x = 0, y = 0)

Arguments

• o: An object of loca.p class.
• x: The x coordinate of the point to be evaluated.
• y: The y coordinate of the point to be evaluated.

Returns

distsuml2 returns the objective function of the min-sum location problem, $\sum_{a_i \in o} w_i d(a_i, (x,y))$, where $d(a_i, (x,y))$ gives the euclidean distances between $a_i$ and the point $(x,y)$. distsumgra returns the gradient vector of the function distsum.

Details

If $(x,y)$ is a demand point partial=T means ignore such point to compute the gradient. This option is mainly for internal use.

See Also

See also orloca-package, distsum, distsumgra and distsummin.