Document
... – Sparse: most node has one or zero child – Unbalanced: the right subtree is much larger than the left subtree, or vice versa ...
... – Sparse: most node has one or zero child – Unbalanced: the right subtree is much larger than the left subtree, or vice versa ...
Chapter 7: AddAtom implementation
... Chapter 7: AddAtom implementation The AddAtom algorithm evolved over a number of years and eventually led to the notion of a compressed pseudo-lattice. The author was responsible for modifying and maintaining the implementation environment of the Grand algorithm of Oosthuizen (1991). Originally, mos ...
... Chapter 7: AddAtom implementation The AddAtom algorithm evolved over a number of years and eventually led to the notion of a compressed pseudo-lattice. The author was responsible for modifying and maintaining the implementation environment of the Grand algorithm of Oosthuizen (1991). Originally, mos ...
Non-Adaptive Data Structure Bounds for Dynamic Predecessor Search
... theorem. Specifically, we show that there must be a large set of cells C along with a set A Ď rms that is reasonably large such that for each i P A, Predpiq queries every cell in C. We build this set C iteratively by using the pigeonhole principle along with an encoding argument. For complete detail ...
... theorem. Specifically, we show that there must be a large set of cells C along with a set A Ď rms that is reasonably large such that for each i P A, Predpiq queries every cell in C. We build this set C iteratively by using the pigeonhole principle along with an encoding argument. For complete detail ...
linear list Concept:
... before the last node in order to remove the last node. But we can not reach the node before the tail by following next links from the tail. The only way to access this node is to start from the head of the list and search all the way through the list. But such a sequence of link hopping operations c ...
... before the last node in order to remove the last node. But we can not reach the node before the tail by following next links from the tail. The only way to access this node is to start from the head of the list and search all the way through the list. But such a sequence of link hopping operations c ...
Lecture6MRM
... But there are more: The times when the robot touches an obstacle. Or when the light cones from both ends of a disappearing obstacle meet. ...
... But there are more: The times when the robot touches an obstacle. Or when the light cones from both ends of a disappearing obstacle meet. ...
Lists - Dr. Manal Helal Moodle Site
... room – assuming insertions at positions are equally likely Worst case is insert at position 0. Must move all N items one position before the insert ...
... room – assuming insertions at positions are equally likely Worst case is insert at position 0. Must move all N items one position before the insert ...
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.