Method dot

lib/matplotlib/tri/_triinterpolate.py:1229–1237

Dot product of self by a vector *V* in sparse-dense to dense format *V* dense vector of shape (self.m,).

(self, V)

        self.cols = np.asarray(cols, dtype=np.int32)

    def dot(self, V):
        """
        Dot product of self by a vector *V* in sparse-dense to dense format
        *V* dense vector of shape (self.m,).
        """
        assert V.shape == (self.m,)
        return np.bincount(self.rows,
                           weights=self.vals*V[self.cols],
                           minlength=self.m)

    def compress_csc(self):
        """