On explicit basis of bivariate spline space

For a subdivision Δ of a region in d-dimensional Euclidean space, we consider computation of dimension and of basis function in spline space S _k ^r (Δ) consisting of all C piecewise polynomial functions over Δ of degree at most k. A computational scheme is presented for computing the dimension and bases of spline space S _k ^r (Δ). This scheme based on the Grobner basis algorithm and the smooth co-factor method for computing multivariate spline. For bivariate splines, explicit basis functions of S _k ^r (Δ) are obtained for any integer k and r when Δ is a cross-cut partition. The Project is partly supported by the Science and Technology New Star Plan of Beijing and Education Committee of Beijing.