| M.Mantyla, An Introduction to Solid Modeling, Computer Sci. Press, 1988. A Numerical Method of Computing Dual Basis of B-spline Consider "matrix operator" Mm := [ m;k;l ]; m; k; l 2 Z; m 2 (30) where m;k;l =< Nm ( k); Nm ( l) >. Mm is a positive definite matrix. Its inverse is denoted by |
....curved surfaces, accelerate convergence of quadrature at these intersections and improve shadow computation. To environments made up of planar objects, the preprocessing introduced in [17] can be used to accelerate testing ray object intersection. Topological ralations of surfaces could be set up[18] to improve efficiency of computation at surface boundaries. They also may be helpful to keep radiosity distribution continuous at boundaries between coplanar surfaces. Acknowledgements This work was partially supported by China Natural Science Foundation and Natural Science Foundation of ....
M.Mantyla, An Introduction to Solid Modeling, Computer Sci. Press, 1988. A Numerical Method of Computing Dual Basis of B-spline Consider "matrix operator" Mm := [fl m;k;l ]; m; k; l 2 Z; m 2 (30) where fl m;k;l =! Nm (ffl \Gamma k); Nm (ffl \Gamma l) ?. Mm is a positive definite matrix. Its inverse is denoted by
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M.Mantyla, An Introduction to Solid Modeling, Computer Sci. Press, 1988. A Numerical Method of Computing Dual Basis of B-spline Consider "matrix operator" Mm := [ m;k;l ]; m; k; l 2 Z; m 2 (30) where m;k;l =< Nm ( k); Nm ( l) >. Mm is a positive definite matrix. Its inverse is denoted by
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