例句與造句

1. Those recommendations aside, constrictor knots do function best on fully convex objects.
2. This allows the development of very fast collision detection algorithms for convex objects.
3. Deviations from equidimensional are used to classify the shape of convex objects like rocks or particles.
4. The constrictor and double constrictor are both extremely secure when tied tightly around convex objects with cord scaled for the task at hand.
5. The problem was to understand the volumes of convex objects, like a disk in ordinary two-dimensional space, in infinite dimensions.
6. It's difficult to find convex object in a sentence. 用convex object造句挺難的
7. However, for non-convex objects the definition of being fat is more general than the definition of being ( ?, ? )-covered.
8. A basic observation is that for any two convex objects which are disjoint, one can find a plane in space so that one object lies completely on one side of that plane, and the other object lies on the opposite side of that plane.
9. The advantage of shadow mapping is that it is often faster, because shadow volume polygons are often very large in terms of screen space and require a lot of fill time ( especially for convex objects ), whereas shadow maps do not have this limitation.
10. For convex objects, the two definitions are equivalent, in the sense that if " o " is ?-fat, for some constant ?, then it is also ( ?, ? )-covered, for appropriate constants ? and ?, and vice versa.
11. As seen in the figure, a convex object that lies tangent to the boundary, such as the line shown, is likely to encounter a corner ( or in higher dimensions an edge or higher-dimensional equivalent ) of a hypercube, for which some components of \ beta are identically zero, while in the case of an n-sphere, the points on the boundary for which some of the components of \ beta are zero are not distinguished from the others and the convex object is no more likely to contact a point at which some components of \ beta are zero than one for which none of them are.
12. As seen in the figure, a convex object that lies tangent to the boundary, such as the line shown, is likely to encounter a corner ( or in higher dimensions an edge or higher-dimensional equivalent ) of a hypercube, for which some components of \ beta are identically zero, while in the case of an n-sphere, the points on the boundary for which some of the components of \ beta are zero are not distinguished from the others and the convex object is no more likely to contact a point at which some components of \ beta are zero than one for which none of them are.