Tries and String Matching
... Tries are a simple and flexible data structure for storing strings. Suffix links point from trie nodes to the nodes corresponding to their longest proper suffixes. (suffices?) They can be filled in in time linear in the length of the strings. A string x is a substring of a string w precisely when x ...
... Tries are a simple and flexible data structure for storing strings. Suffix links point from trie nodes to the nodes corresponding to their longest proper suffixes. (suffices?) They can be filled in in time linear in the length of the strings. A string x is a substring of a string w precisely when x ...
ch12m
... • Since a heap is a complete tree, an array-based implementation is reasonable • As previously discussed, a parent element at index n will have children stored at index 2n+1 and 2n+2 of the array • Conversely, for any node other than the root, the parent of the node is found at index (n-1)/2 ...
... • Since a heap is a complete tree, an array-based implementation is reasonable • As previously discussed, a parent element at index n will have children stored at index 2n+1 and 2n+2 of the array • Conversely, for any node other than the root, the parent of the node is found at index (n-1)/2 ...
Chapter 5
... element is the root. We can find the root in inorder array. Then we can identify the left and right sub-trees of the root from in-order array. Using the length of left sub-tree, we can identify left and right sub-trees in post-order array. Recursively, we can build up the tree. For this example, the ...
... element is the root. We can find the root in inorder array. Then we can identify the left and right sub-trees of the root from in-order array. Using the length of left sub-tree, we can identify left and right sub-trees in post-order array. Recursively, we can build up the tree. For this example, the ...
Paper - Springer
... Every database system can basically store arbitrary data. We can always store tuples as a list of binary large objects (blobs) and, if we want to evaluate a query, check for every tuple if it satisfies the query1 . The crux of the matter is that this usually takes too much time. An index data struct ...
... Every database system can basically store arbitrary data. We can always store tuples as a list of binary large objects (blobs) and, if we want to evaluate a query, check for every tuple if it satisfies the query1 . The crux of the matter is that this usually takes too much time. An index data struct ...
- Free Documents
... There are six simple recursive algorithms for tree traversal. The most commonly used ones are inorder LNR postorder LRN preorder NLR. Another technique is to move left to right from level to level. This algorithm is iterative, and its implementation involves using a queue. ...
... There are six simple recursive algorithms for tree traversal. The most commonly used ones are inorder LNR postorder LRN preorder NLR. Another technique is to move left to right from level to level. This algorithm is iterative, and its implementation involves using a queue. ...
Binomial, Fibonacci, and Pairing Heaps
... We proceed next to describe how the various operations are performed. Since we are not seeking worst-case bounds, there are economies to be exploited that could also be applied to obtain a variant of Binomial heaps. (In the absence of cuts, the individual trees generated by Fibonacci heap manipulati ...
... We proceed next to describe how the various operations are performed. Since we are not seeking worst-case bounds, there are economies to be exploited that could also be applied to obtain a variant of Binomial heaps. (In the absence of cuts, the individual trees generated by Fibonacci heap manipulati ...
Efficient External-Memory Bisimulation on DAGs
... in external memory can be read or written relatively fast. Thus the performance of algorithms using external memory is often dominated by the external-memory access patterns, where algorithms that read from and write to disk sparingly and in large blocks are at an advantage over algorithms that acce ...
... in external memory can be read or written relatively fast. Thus the performance of algorithms using external memory is often dominated by the external-memory access patterns, where algorithms that read from and write to disk sparingly and in large blocks are at an advantage over algorithms that acce ...
Questions and Answers
... are linear because multiple elements are allocated in contiguous memory. If the array is a pointer array, only the pointer array need be contiguous; the data being pointed at can reside anywhere in memory, whether contiguous or not (you might use a separate pointer array to indirectly alter the orde ...
... are linear because multiple elements are allocated in contiguous memory. If the array is a pointer array, only the pointer array need be contiguous; the data being pointed at can reside anywhere in memory, whether contiguous or not (you might use a separate pointer array to indirectly alter the orde ...
Linked list
In computer science, a linked list is a data structure consisting of a group of nodes which together represent a sequence. Under the simplest form, each node is composed of data and a reference (in other words, a link) to the next node in the sequence; more complex variants add additional links. This structure allows for efficient insertion or removal of elements from any position in the sequence.Linked lists are among the simplest and most common data structures. They can be used to implement several other common abstract data types, including lists (the abstract data type), stacks, queues, associative arrays, and S-expressions, though it is not uncommon to implement the other data structures directly without using a list as the basis of implementation.The principal benefit of a linked list over a conventional array is that the list elements can easily be inserted or removed without reallocation or reorganization of the entire structure because the data items need not be stored contiguously in memory or on disk, while an array has to be declared in the source code, before compiling and running the program. Linked lists allow insertion and removal of nodes at any point in the list, and can do so with a constant number of operations if the link previous to the link being added or removed is maintained during list traversal.On the other hand, simple linked lists by themselves do not allow random access to the data, or any form of efficient indexing. Thus, many basic operations — such as obtaining the last node of the list (assuming that the last node is not maintained as separate node reference in the list structure), or finding a node that contains a given datum, or locating the place where a new node should be inserted — may require sequential scanning of most or all of the list elements. The advantages and disadvantages of using linked lists are given below.