
slides
... • Decompose key x into r+1 bytes, so that x = {x0, x1, …, xr} – Only requirement is that max value of byte < m – Let a = {a0, a1, …, ar} denote a sequence of r+1 elements chosen randomly from {0, 1, …, m - 1} – Define corresponding hash function ha G: r ...
... • Decompose key x into r+1 bytes, so that x = {x0, x1, …, xr} – Only requirement is that max value of byte < m – Let a = {a0, a1, …, ar} denote a sequence of r+1 elements chosen randomly from {0, 1, …, m - 1} – Define corresponding hash function ha G: r ...
Lecture notes.
... • Spatial decompositions are most frequently used in this way – For example, if we cannot see any part of a cell, we cannot see its children, if we see a leaf, use the Z-buffer to draw the contents ...
... • Spatial decompositions are most frequently used in this way – For example, if we cannot see any part of a cell, we cannot see its children, if we see a leaf, use the Z-buffer to draw the contents ...
v - Researchmap
... • Divide the sequence into blocks of length wc Let M1,…, Mt, m1,…, mt be max/min values of the blocks • To compute fwd_search(E,i,d), if E[i]+d < (the minimum value of the block containing i), the block containing the answer is the first block j with mj < E[i]+d ...
... • Divide the sequence into blocks of length wc Let M1,…, Mt, m1,…, mt be max/min values of the blocks • To compute fwd_search(E,i,d), if E[i]+d < (the minimum value of the block containing i), the block containing the answer is the first block j with mj < E[i]+d ...
Slide 1
... All nodes in the paths from a given node to a leaf node Subtree : any node can be considered to be the root of a subtree, which consists of its children, and its children's children, and so on. An edge of tree T is a pair of nodes (u, v) such that u is the parent of v, or vice versa. A path of T i ...
... All nodes in the paths from a given node to a leaf node Subtree : any node can be considered to be the root of a subtree, which consists of its children, and its children's children, and so on. An edge of tree T is a pair of nodes (u, v) such that u is the parent of v, or vice versa. A path of T i ...
Quadtree
A quadtree is a tree data structure in which each internal node has exactly four children. Quadtrees are most often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. The regions may be square or rectangular, or may have arbitrary shapes. This data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree. All forms of quadtrees share some common features: They decompose space into adaptable cells Each cell (or bucket) has a maximum capacity. When maximum capacity is reached, the bucket splits The tree directory follows the spatial decomposition of the quadtree.