Data Indexing
... • if the search key value does not appear in the index, the new record is inserted to an appropriate position • if the index record stores pointers to all records with the same search-key value, a pointer is added to the new record to the index record • if the index record stores a pointer to only t ...
... • if the search key value does not appear in the index, the new record is inserted to an appropriate position • if the index record stores pointers to all records with the same search-key value, a pointer is added to the new record to the index record • if the index record stores a pointer to only t ...
Data Structures (CS 1520) Lecture 24 Name:_________________
... 9. A B+ Tree is a multi-way tree (typically in the order of 100s children per node) used primarily as a file-index structure to allow fast search (as well as insertions and deletions) for a target key on disk. Two types of pages (B+ tree "nodes") exist: Data pages - which always appear as leaves o ...
... 9. A B+ Tree is a multi-way tree (typically in the order of 100s children per node) used primarily as a file-index structure to allow fast search (as well as insertions and deletions) for a target key on disk. Two types of pages (B+ tree "nodes") exist: Data pages - which always appear as leaves o ...
ppt
... • So far, we have dealt with one type of data structure: an array. Its length does not change, so it is a static data structure. This either requires knowing the length ahead of time or waste space. • In many cases, we would like to have a dynamic data structure whose length changes according to com ...
... • So far, we have dealt with one type of data structure: an array. Its length does not change, so it is a static data structure. This either requires knowing the length ahead of time or waste space. • In many cases, we would like to have a dynamic data structure whose length changes according to com ...
Search, Sorting and Big
... Delete node B. B has two children which means we can't just make D point to its successors as there are two of them only one available link from D. To delete B, we must: 1) find its inorder successor (next biggest value). done by going right then go left as far as possible 2) promote inorder success ...
... Delete node B. B has two children which means we can't just make D point to its successors as there are two of them only one available link from D. To delete B, we must: 1) find its inorder successor (next biggest value). done by going right then go left as far as possible 2) promote inorder success ...
Self-balancing Binary Search Trees
... 1. Each node is either red or black. 2. The root is black. 3. The leaves are all NULL pointers and they are black. 4. If a node is red, then both its children are black. 5. Every path from a given node to any of its descendant NULL nodes contains the same number of black nodes. From 4 and 5 we can i ...
... 1. Each node is either red or black. 2. The root is black. 3. The leaves are all NULL pointers and they are black. 4. If a node is red, then both its children are black. 5. Every path from a given node to any of its descendant NULL nodes contains the same number of black nodes. From 4 and 5 we can i ...
Elementary Data Structures
... Stack (§1.5) In a push operation, when the array is full, instead of throwing an exception, we Algorithm push(o) if t = S.length − 1 then can replace the array with A ← new array of a larger one size … How large should the new for i ← 0 to t do array be? A[i] ← S[i] ...
... Stack (§1.5) In a push operation, when the array is full, instead of throwing an exception, we Algorithm push(o) if t = S.length − 1 then can replace the array with A ← new array of a larger one size … How large should the new for i ← 0 to t do array be? A[i] ← S[i] ...
of data access
... Existing data structure could be in general divided into two groups: static structures, which are independent from the collected inside them elements, and dynamic variables, which depend on elements that are collected inside them. Saying static structures we refer to vectors, matrixes, records and t ...
... Existing data structure could be in general divided into two groups: static structures, which are independent from the collected inside them elements, and dynamic variables, which depend on elements that are collected inside them. Saying static structures we refer to vectors, matrixes, records and t ...
Lecture 23
... Searching, insertion, deletion and sorting (see below) are efficient because half the tree is eliminated at each comparison (cf binary search with arrays). In searching for an item in a binary search tree only involves going left or right for each node as we descend the tree. This is similar to choo ...
... Searching, insertion, deletion and sorting (see below) are efficient because half the tree is eliminated at each comparison (cf binary search with arrays). In searching for an item in a binary search tree only involves going left or right for each node as we descend the tree. This is similar to choo ...
Data structures & ANALYSIS OF ALGORITHMS
... What is the idea of prim’s algorithm to find MST? • Prim’s algorithm finds a minimum cost spanning tree by selecting edges from the graph one-by-one as follows: • It starts with a tree, t, consisting of the starting vertex, x. • Then, it adds the shortest edge emanating from x that connects t to th ...
... What is the idea of prim’s algorithm to find MST? • Prim’s algorithm finds a minimum cost spanning tree by selecting edges from the graph one-by-one as follows: • It starts with a tree, t, consisting of the starting vertex, x. • Then, it adds the shortest edge emanating from x that connects t to th ...
Tree-Structured Indexes
... (Note that 17 is pushed up and only appears once in the index. Contrast this with a leaf split.) ...
... (Note that 17 is pushed up and only appears once in the index. Contrast this with a leaf split.) ...
btrees - COW :: Ceng
... • Bucket Factor: the number of records which can fit in a leaf node. • Fan-out : the average number of children of an internal node. • A B+tree index can be used either as a primary index or a secondary index. – Primary index: determines the way the records are actually stored (also called a sparse ...
... • Bucket Factor: the number of records which can fit in a leaf node. • Fan-out : the average number of children of an internal node. • A B+tree index can be used either as a primary index or a secondary index. – Primary index: determines the way the records are actually stored (also called a sparse ...
x - Yimg
... Successor and predecessor • Assuming that all keys are distinct, the successor of a node x is the node y such that key[y] is the smallest key > key[x]. (We can find x’s successor based entirely on the tree structure. No key comparisons are necessary.) If x has the largest key in the binary search t ...
... Successor and predecessor • Assuming that all keys are distinct, the successor of a node x is the node y such that key[y] is the smallest key > key[x]. (We can find x’s successor based entirely on the tree structure. No key comparisons are necessary.) If x has the largest key in the binary search t ...
Heaps - WordPress.com
... The first is as a way of implementing a special kind of queue, called a priority queue. Recall that in an ordinary queue, elements are added at one end of the queue and removed from the other end, so that the elements are removed in the same order they are added (FIFO). In a priority queue, each ele ...
... The first is as a way of implementing a special kind of queue, called a priority queue. Recall that in an ordinary queue, elements are added at one end of the queue and removed from the other end, so that the elements are removed in the same order they are added (FIFO). In a priority queue, each ele ...
B-tree
In computer science, a B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children (Comer 1979, p. 123). Unlike self-balancing binary search trees, the B-tree is optimized for systems that read and write large blocks of data. B-trees are a good example of a data structure for external memory. It is commonly used in databases and filesystems.