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Thirteenth Lecture
Thirteenth Lecture

Review Questions: Trees
Review Questions: Trees

Amortized Analysis Master MOSIG
Amortized Analysis Master MOSIG

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if - Read

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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 ...
Lecture 4
Lecture 4

INF 431 PC – 2 Balanced Binary trees
INF 431 PC – 2 Balanced Binary trees

6) R-tree: Typically the preferred method for indexing spatial data
6) R-tree: Typically the preferred method for indexing spatial data

Lecture notes.
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 ...
Algorithms for Nearest Neighbor Search
Algorithms for Nearest Neighbor Search

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Exam 1

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Binary search trees 1

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Binary Search Tree

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Representing Trees Introduction Trees and representations

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Trees and Tree Traversals

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Decision Trees & the Iterative Dichotomiser 3 (ID3) Algorithm

The Notorious PM Quadtree - UMD Department of Computer Science
The Notorious PM Quadtree - UMD Department of Computer Science

v - Researchmap
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 ...
18-BinaryTrees
18-BinaryTrees

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Tree Indexing

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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 ...
Bart Verzijlenberg
Bart Verzijlenberg

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Persistent Data Structures 2.1 Introduction and motivation
Persistent Data Structures 2.1 Introduction and motivation

Solution - GitHub Pages
Solution - GitHub Pages

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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.
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