Exam
... linked list L and data d, and that updates L by inserting a node with data d as first node of the list. ...
... linked list L and data d, and that updates L by inserting a node with data d as first node of the list. ...
CSE 326: Data Structures Lecture #23 randomized data structures
... – Euler versus Hamiltonian circuits – Definition of P, NP, NP-complete – How one problem can be “reduced” to another (e.g. input to HC can be transformed into input for TSP) ...
... – Euler versus Hamiltonian circuits – Definition of P, NP, NP-complete – How one problem can be “reduced” to another (e.g. input to HC can be transformed into input for TSP) ...
Optimal Dynamic Sequence Representations
... contains a poly-logarithmic number of elements over an alphabet of size ρ, we can answer rank and select queries in O(1) time using O(|Gj (v)|/ lg1−ε n) additional bits, for any constant 0 < ε < 1 (see Appendix A for details). A pointer to an element B(v)[e] consists of two parts: a unique id of the ...
... contains a poly-logarithmic number of elements over an alphabet of size ρ, we can answer rank and select queries in O(1) time using O(|Gj (v)|/ lg1−ε n) additional bits, for any constant 0 < ε < 1 (see Appendix A for details). A pointer to an element B(v)[e] consists of two parts: a unique id of the ...
flat file systems
... Internally, the directory stores information that allows file names to be associated with corresponding data block locations. Some old FS (such as early versions of DOS) had a single directory containing all files. Such FS are called flat file systems. ...
... Internally, the directory stores information that allows file names to be associated with corresponding data block locations. Some old FS (such as early versions of DOS) had a single directory containing all files. Such FS are called flat file systems. ...
Chapter 10: Efficient Collections (skip lists, trees)
... nothing can beat the constant time performance of a simple dynamic array or linked list. But if searching or removals are common, then the O(log n) cost of searching an ordered list may more than make up for the slower cost to perform an insertion. Imagine, for example, an on-line telephone director ...
... nothing can beat the constant time performance of a simple dynamic array or linked list. But if searching or removals are common, then the O(log n) cost of searching an ordered list may more than make up for the slower cost to perform an insertion. Imagine, for example, an on-line telephone director ...
3.3 Path Copying - Transactional Data Structures
... A node contains alternative values for the references to its children which are initialised to null and used if set. Each node in the data structure contains a set of alternative values. Typically, the alternative pointers are set to null when the node is created and subsequently modified when a pat ...
... A node contains alternative values for the references to its children which are initialised to null and used if set. Each node in the data structure contains a set of alternative values. Typically, the alternative pointers are set to null when the node is created and subsequently modified when a pat ...
20Tall
... right tree has the value you are looking for, the search is successful. If the key is further down the tree, the search keeps going left or right until the key is found or the subtree is empty indicating the key was not in the BST. Searching a binary search tree can be O(log n) since half the nodes ...
... right tree has the value you are looking for, the search is successful. If the key is further down the tree, the search keeps going left or right until the key is found or the subtree is empty indicating the key was not in the BST. Searching a binary search tree can be O(log n) since half the nodes ...
AN OVERVIEW OF HIERARCHICAL SPATIAL DATA STRUCTURES
... The term quadtree is used to describe a class of hierarchical data structures whose common property is that they are based on the principle of recursive decomposition of space. They can be differentiated on the following bases: (1) the type of data that they are used to represent, (2) the principle ...
... The term quadtree is used to describe a class of hierarchical data structures whose common property is that they are based on the principle of recursive decomposition of space. They can be differentiated on the following bases: (1) the type of data that they are used to represent, (2) the principle ...
A practical scalable distributed B-tree.
... • Keeping metadata in a cluster file system. In a file system, metadata refers to the attributes of files, the list of free blocks, and the contents of directories. Metadata access is often a bottleneck in cluster file systems such as Lustre or Hadoop’s HDFS [21, 22]. Our B-tree could hold the metad ...
... • Keeping metadata in a cluster file system. In a file system, metadata refers to the attributes of files, the list of free blocks, and the contents of directories. Metadata access is often a bottleneck in cluster file systems such as Lustre or Hadoop’s HDFS [21, 22]. Our B-tree could hold the metad ...
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.