The S-Linked List–A Variant Of The Linked List Data Structure
... amalgamation gives a data structure that looks somewhat like the unrolled linked list, but rather than have an array in each node, we have a singly linked list. An analysis of the space complexity and assymptotic time complexity of the algorithm was carried out. ...
... amalgamation gives a data structure that looks somewhat like the unrolled linked list, but rather than have an array in each node, we have a singly linked list. An analysis of the space complexity and assymptotic time complexity of the algorithm was carried out. ...
NewUnit2Lists
... private Node findPrev(K searchKey){
// post: Returns the Node with key equal to searchKey, if any exists in the list. Or
// it returns the previous key (if any). Or if the previous key does not exists, it
// returns the Node with key after searchKey (if any). Or it returns null if the list is
/ ...
... private Node
Prim`s MST Algorithm
... connected weighted undirected graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. The algorithm was developed in 1930 by Czech mathematician Vojtěch Jarník and later independently by computer ...
... connected weighted undirected graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. The algorithm was developed in 1930 by Czech mathematician Vojtěch Jarník and later independently by computer ...
PPT
... • Near blocks: blocks which have no pioneers. • Insert pseudo-pioneers at start and end of every near block. – Pseudo-pioneers do not effect FINDOPEN(x), FINDCLOSE(x), ENCLOSE(x) ...
... • Near blocks: blocks which have no pioneers. • Insert pseudo-pioneers at start and end of every near block. – Pseudo-pioneers do not effect FINDOPEN(x), FINDCLOSE(x), ENCLOSE(x) ...
A Locality Preserving Cache-Oblivious Dynamic Dictionary
... tree, we describe a mapping from the nodes of the tree to positions of an array in memory. This mapping, called van Emde Boas layout, resembles the recursive structure in the van Emde Boas data structure [42, 43]. The cache oblivious structure can perform any traversal from the root to a leaf in an ...
... tree, we describe a mapping from the nodes of the tree to positions of an array in memory. This mapping, called van Emde Boas layout, resembles the recursive structure in the van Emde Boas data structure [42, 43]. The cache oblivious structure can perform any traversal from the root to a leaf in an ...
Authenticated Data Structures for Graph and Geometric Searching
... same connected component and a path query returns a path, if it exists, between two given vertices. We could also define update operations of S that add and/or remove vertices and edges. As a second example, S could be a collection of line segments in the plane forming a polygonal chain, where an in ...
... same connected component and a path query returns a path, if it exists, between two given vertices. We could also define update operations of S that add and/or remove vertices and edges. As a second example, S could be a collection of line segments in the plane forming a polygonal chain, where an in ...
Heaps and PQs
... You are not required to know one specific PQ implementation but you need to understand their general principles that require any Data Structure to allow for: Quick insertion of PQ elements Quick retrieval of an element with the top priority Potential PQ implementations include: ...
... You are not required to know one specific PQ implementation but you need to understand their general principles that require any Data Structure to allow for: Quick insertion of PQ elements Quick retrieval of an element with the top priority Potential PQ implementations include: ...
Priority Queue / Heap - Algorithms and Complexity
... • Paying to the bank account costs • Take “money” from account to pay for expensive operations Applied to binary counter: • Flip from 0 to 1: pay 1 to bank account (cost: 2) • Flip from 1 to 0: take 1 from bank account (cost: 0) • Amount on bank account = number of ones We always have enough “mo ...
... • Paying to the bank account costs • Take “money” from account to pay for expensive operations Applied to binary counter: • Flip from 0 to 1: pay 1 to bank account (cost: 2) • Flip from 1 to 0: take 1 from bank account (cost: 0) • Amount on bank account = number of ones We always have enough “mo ...
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.