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The top-nodes algorithm is an algorithm for managing a resource reservation calendar. The algorithm has been first published in 2003, and has been improved
Top-nodes_algorithm
Algorithm to search the nodes of a graph
is an algorithm for searching a tree data structure for a node that satisfies a given property. It starts at the tree root and explores all nodes at the
Breadth-first_search
Device or point within a network capable of creating, receiving, or transmitting data
use virtual nodes so that the system is not oblivious to the heterogeneity of the nodes. This issue is addressed with special algorithms, like consistent
Node_(computer_networking)
Node ordering for directed acyclic graphs
other nodes that depend on n (all descendants of n in the graph). Specifically, when the algorithm adds node n, we are guaranteed that all nodes that depend
Topological_sorting
common ancestors algorithm: computes lowest common ancestors for pairs of nodes in a tree Topological sort: finds linear order of nodes (e.g. jobs) based
List_of_algorithms
Capacity control on a communications network
manner. Constraint-based Routing Label Distribution Protocol (CR-LDP) Top-nodes algorithm Traffic classification - categorising traffic according to some policy
Bandwidth_management
Automated methods for the creation of mazes
representing possible wall sites and the nodes representing cells. The purpose of the maze generation algorithm can then be considered to be making a subgraph
Maze_generation_algorithm
Technique to compress data
{\displaystyle n} . A node can be either a leaf node or an internal node. Initially, all nodes are leaf nodes, which contain the symbol itself, the weight
Huffman_coding
Sequence merge algorithm in computer science
element. A simple algorithm builds an output buffer with nodes from the heap. Start by building a min-heap of nodes, where each node consists of a head
K-way_merge_algorithm
Linked node hierarchical data structure
cannot be represented by relationships between neighboring nodes (parent and children nodes of a node under consideration, if they exist) in a single straight
Tree_(abstract_data_type)
Computational problem of graph theory
can be solved using Yen's algorithm to find the lengths of all shortest paths from a fixed node to all other nodes in an n-node non negative-distance network
K_shortest_path_routing
Pattern matching algorithm
The Rete algorithm provides the basis for a more efficient implementation. A Rete-based expert system builds a network of nodes, where each node (except
Rete_algorithm
Abstract data type in computer science
algorithms can use this kind of priority queue. Dijkstra's algorithm for example can not work on several nodes at once. The algorithm takes the node with
Priority_queue
Algorithm
responsible_nodes: list[Node] = [wrh.determine_responsible_node( nodes, f"key: {key}").name for key in range(45_000)] print(Counter(responsible_nodes)) # prints:
Rendezvous_hashing
Sorting algorithm using the heap data structure
efficient, comparison-based sorting algorithm that reorganizes an input array into a heap (a data structure where each node is greater than its children) and
Heapsort
Algorithm
the A* search algorithm. The algorithm stores intervals for nodes of the tree as opposed to single point-valued estimates. Then, leaf nodes of the tree
B*
Community detection algorithm
shortest paths between pairs of nodes that run along it. If there is more than one shortest path between a pair of nodes, each path is assigned equal weight
Girvan–Newman_algorithm
Algorithm for making decision trees
practice to date". It became quite popular after ranking #1 in the Top 10 Algorithms in Data Mining pre-eminent paper published by Springer LNCS in 2008
C4.5_algorithm
In applied mathematics, a technique to find the shortest path
counter for each node that is incremented each time a neighboring vertex is contracted. Nodes with lower counters are then preferred to nodes with higher counters
Contraction_hierarchies
Data structures used in spatial indexing
same algorithm. For point data, the leaf nodes will not overlap, and "tile" the data space into approximately equal sized pages. Overlap Minimizing Top-down
R-tree
Optimization by removing non-optimal solutions to subproblems
heuristic whenever the node does not identify a unique solution. Else, branch on N to produce new nodes Ni. Add all feasible nodes for which bound(Ni) <
Branch_and_bound
Divide and conquer sorting algorithm
sort algorithm which uses a small fixed size array of references to nodes, where array[i] is either a reference to a list of size 2i or nil. node is a
Merge_sort
Tool for analyzing divide-and-conquer algorithms
work done by the entire algorithm is the sum of the work performed by all the nodes in the tree. The runtime of an algorithm such as the p above on an
Master theorem (analysis of algorithms)
Master_theorem_(analysis_of_algorithms)
Algorithm for construction of suffix trees
science, Ukkonen's algorithm is a linear-time, online algorithm for constructing suffix trees, proposed by Esko Ukkonen in 1995. The algorithm begins with an
Ukkonen's_algorithm
Decentralized distributed system with lookup service
the overlay network for sending a message to all nodes, or a subset of nodes, in a DHT. These algorithms are used by applications to do overlay multicast
Distributed_hash_table
Hash based data structure
through node lookups. Kademlia nodes communicate among themselves using UDP. A virtual or overlay network is formed by the participant nodes. Each node is
Kademlia
Data structure
edges of the original tree T and the leaf nodes of the top tree ℜ {\displaystyle \Re } and each internal node of ℜ {\displaystyle \Re } represents a cluster
Top_tree
Search algorithm
outlined below. Like Dijkstra's algorithm and A*, D* maintains a list of nodes to be evaluated, known as the "OPEN list". Nodes are marked as having one of
D*
node routing is a static approach that requires pre-processing of pair-wise distances between important nodes in the graph (see below how those nodes
Transit_node_routing
Limited form of tree data structure
sibling nodes are removed one by one. This results in "two leaf nodes removed" and "one internal node removed" and "the removed internal node becoming
Binary_tree
given node at a given distance from the root of the tree. More precisely, let T be a rooted tree with n nodes, and let v be an arbitrary node of T. The
Level_ancestor_problem
Optimization algorithm
from a starting node. Different choices for next nodes and starting nodes are used in related algorithms. Although more advanced algorithms such as simulated
Hill_climbing
Variant of heap data structure
A[largest] Max-Heapify(A, largest) For the above algorithm to correctly re-heapify the array, no nodes besides the node at index i and its two direct children can
Binary_heap
Data compression technique
strategy is to grow the tree until each node contains a small number of instances then use pruning to remove nodes that do not provide additional information
Decision_tree_pruning
Computer science data structure
binary tree, it has the smallest possible height—a heap with N nodes and a branches for each node always has loga N height. Note that, as shown in the graphic
Heap_(data_structure)
Data structure for storing non-overlapping sets
forest, with the members of the set being the nodes in the tree. Root nodes provide set representatives: Two nodes are in the same set if and only if the trees
Disjoint-set_data_structure
Type of algorithm, produces approximately correct solutions
remaining cost to reach the goal. Greedy Best-First Search: This algorithm expands the node that is closest to the goal based solely on the heuristic function
Heuristic_(computer_science)
Self-balancing binary search tree data structure
algorithm in just 33 lines, significantly shortening his original 46 lines of code. The black depth of a node is defined as the number of black nodes
Red–black_tree
Concept in computer science
use a system of validating nodes to validate the ledger. This system used by Ripple, called Ripple Protocol Consensus Algorithm (RPCA), works in rounds:
Consensus_(computer_science)
Search tree data structure
Tries are composed of nodes that contain links, which either point to other suffix child nodes or null. As for every tree, each node except the root is pointed
Trie
Machine learning algorithm
learning algorithms are based on heuristics such as the greedy algorithm where locally optimal decisions are made at each node. Such algorithms cannot guarantee
Decision_tree_learning
Database theory algorithm
query variable the nodes containing that variable form a connected subtree. After rooting the join tree arbitrarily, the algorithm keeps one working relation
Yannakakis_algorithm
Computational problem of graph theory
problem in algorithmic graph theory is the shortest path problem. Hereby, the problem of finding the shortest path between every pair of nodes is known
Parallel all-pairs shortest path algorithm
Parallel_all-pairs_shortest_path_algorithm
Independent set which is not a subset of any other independent set
components, each with 2 nodes. The degree of all nodes is 1, so each node is selected with probability 1/2, and with probability 1/4 both nodes in a component
Maximal_independent_set
Data structure
the tree, using white nodes, then remove a small set of "exceptions" in a space-efficient manner by inserting them using black nodes. The HAT-trie is a cache-conscious
Radix_tree
Tree-based computer data structure
leaf nodes and use different kinds of nodes for leaf nodes and internal nodes. B-trees keep values in every node in the tree except leaf nodes. The literature
B-tree
Clustering method used in network science
clustering algorithm used in network science named after the whispering game also known as Telephone. The algorithm identifies communities of nodes or links
Chinese whispers (clustering method)
Chinese_whispers_(clustering_method)
Self-balancing binary search tree
of nodes in the tree. As a read-only operation the traversal of an AVL tree functions the same way as on any other binary tree. Exploring all n nodes of
AVL_tree
Data structure with nodes pointing to the next node
removal of nodes at arbitrary positions. A drawback of linked lists is that data access time is linear with respect to the number of nodes in the list
Linked_list
Leader election algorithm
categories of nodes: Sources: nodes with outgoing nodes, but no incoming nodes. These are the least nodes in each neighborhood. Intermediate nodes: nodes with
Yo-yo_(algorithm)
Use of functions that call themselves
step, namely "check valid then recurse", as in considering leaf nodes rather than Null nodes as base cases in a tree. Because short-circuiting has a more
Recursion_(computer_science)
Automated method for solving mazes
writing on the walls of the maze. For trees with n nodes and depth D, with k robots, the current-best algorithm is in O(nk+kD) in the centralized communication
Maze-solving_algorithm
Algorithm used by Google Search to rank web pages
PageRank results from a mathematical algorithm based on the Webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into
PageRank
Type of parallel computing architecture of tightly coupled nodes
network of tightly coupled data processing units (DPUs) called cells or nodes. Each node or DPU independently computes a partial result as a function of the
Systolic_array
Optimization algorithm for artificial neural networks
For the basic case of a feedforward network, where nodes in each layer are connected only to nodes in the immediate next layer (without skipping any layers)
Backpropagation
Graphics structure
All geometric objects, which form the leaf nodes of the tree, are wrapped in bounding volumes. These nodes are then grouped as small sets and enclosed
Bounding_volume_hierarchy
Computer science transaction algorithm
considered the root ("top") of a communication tree (inverted tree), while the participants are the other nodes. The coordinator can be the node that originated
Two-phase_commit_protocol
If there are no more unvisited nodes at the current depth, nodes at a higher depth are traversed. Eventually, every node of the graph has been visited
External memory graph traversal
External_memory_graph_traversal
Space partitioning data structure
ball tree nearest-neighbor algorithm examines nodes in depth-first order, starting at the root. During the search, the algorithm maintains a max-first priority
Ball_tree
Heuristic search algorithm
science, beam search is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set. Beam search is a modification
Beam_search
On finding a repeating loop in a sequence
In computer science, cycle detection or cycle finding is the algorithmic problem of finding a cycle in a sequence of iterated function values. For any
Cycle_detection
Link analysis algorithm for webpages
nodes that are considered to be authorities on the subject. The Hub score and Authority score for a node is calculated with the following algorithm:
HITS_algorithm
Machine learning technique
observations in trees' terminal nodes. It is used in the tree building process by ignoring any splits that lead to nodes containing fewer than this number
Gradient_boosting
Mesh network discovery and routing protocol
node select a parent. The parent is a neighbor node that is the next best step to the most other nodes. This method creates a hierarchy around nodes that
Order_One_Network_Protocol
tree algorithms are a class of algorithms for self-balancing binary search trees. This framework aims at designing highly-parallelized algorithms for various
Join-based_tree_algorithms
Parser algorithm for languages
various nodes), rather than a tree. Recognition using the GLR algorithm has the same worst-case time complexity as the CYK algorithm and Earley algorithm: O(n3)
GLR_parser
Algorithm for parsing context-free languages
In computer science, the Earley parser is an algorithm for parsing strings that belong to a given context-free language. Named after its inventor Jay
Earley_parser
Mathematical model used by graph-oriented databases
and node of the graph π : κ → V {\displaystyle \pi \colon \kappa \to V} is a partial function, providing values for the properties of the nodes and the
Property_graph
variables Nodes, Incoming, Now, and Next. The set Nodes stores the set of nodes in the graph. The map Incoming maps each node of Nodes to a subset of Nodes ∪
Linear temporal logic to Büchi automaton
Linear_temporal_logic_to_Büchi_automaton
Scale-free network generation algorithm
scale-free and certainly contain few nodes (called hubs) with unusually high degree as compared to the other nodes of the network. The BA model tries to
Barabási–Albert_model
Mathematical puzzle game
puzzle with n disks, there are 3n nodes in the graph; every node has three edges to other nodes, except the three corner nodes, which have two: it is always
Tower_of_Hanoi
Particular way of storing and organizing data in a computer
consists of nodes connected by edges, with one node being the root and all other nodes forming subtrees. Trees are widely used in various algorithms and data
Data_structure
Simple routing algorithm sending incoming packets to all links other than the sender
its own two algorithms to make it reliable: SNCF (Sequence Number Controlled Flooding) and RPF (reverse-path forwarding). In SNCF, the node attaches its
Flooding (computer networking)
Flooding_(computer_networking)
Concurrent data structure
Treiber's algorithm * * @author Brian Goetz and Tim Peierls */ @ThreadSafe public class ConcurrentStack <E> { AtomicReference<Node<E>> top = new
Treiber_stack
Projection of data onto lower-dimensional manifolds
a node on the graph and connectivity between nodes is governed by the proximity of neighboring points (using e.g. the k-nearest neighbor algorithm). The
Nonlinear dimensionality reduction
Nonlinear_dimensionality_reduction
Tree searching strategy
shallowest goal. Since it visits all the nodes in the search tree down to depth d {\displaystyle d} before visiting any nodes at depth d + 1 {\displaystyle d+1}
Iterative deepening depth-first search
Iterative_deepening_depth-first_search
Simple sorting algorithm using comparisons
become fully sorted. The algorithm, which is a comparison sort, is named for the way the larger elements "bubble" up to the top of the list. It performs
Bubble_sort
Class of artificial neural networks
their nodes, GNN architectures are commonly designed to be permutation equivariant: reordering the nodes in the input reorders the corresponding node representations
Graph_neural_network
Concept in graph theory and network analysis
centrality of a group S {\textstyle S} of nodes is simply defined as the number of non-group nodes adjacent to nodes in S {\textstyle S} . Formally, the group
Group_centrality
Sorting algorithm in Python
sorting algorithm designed to optimally exploit existing order in the input data with minimal overhead. Powersort is the default list-sorting algorithm in
Powersort
Algorithm for computing greatest common divisors
In mathematics, the Euclidean algorithm, or Euclid's algorithm, is an efficient method for computing the greatest common divisor (GCD) of two integers
Euclidean_algorithm
Concurrency-protecting pointer owned by one thread at most at a time
indicating which nodes the thread is currently accessing. (In many systems this "list" may be probably limited to only one or two elements.) Nodes on the hazard
Hazard_pointer
Biological theory of intelligence
A Bayesian belief revision algorithm is used to propagate feed-forward and feedback beliefs from child to parent nodes and vice versa. However, the
Hierarchical_temporal_memory
NP-hard problem in combinatorial optimization
original nodes and no edge directly links ghost nodes. The weight −w of the "ghost" edges linking the ghost nodes to the corresponding original nodes must
Travelling_salesman_problem
Computer science pathfinding concept
state. The search algorithm uses the admissible heuristic to find an estimated optimal path to the goal state from the current node. For example, in A*
Admissible_heuristic
Interconnection network are used to connect nodes, where nodes can be a single processor or group of processors, to other nodes. Interconnection networks can be
Multistage interconnection networks
Multistage_interconnection_networks
Kind of binary decision diagram
rooted, directed, acyclic graph, which consists of several decision nodes and terminal nodes. In 1993, Shin-ichi Minato from Japan modified Randal Bryant's
Zero-suppressed decision diagram
Zero-suppressed_decision_diagram
Mathematical tree on concentric circles
root. The first level is a special case because all the nodes have the same parent. The nodes for level 1 can be distributed evenly, or weighted depending
Radial_tree
Decentralized type of wireless network
access points. Instead, each node participates in routing by forwarding data for other nodes. The determination of which nodes forward data is made dynamically
Wireless_ad_hoc_network
Programming collective communication
are relatively more leave nodes than inner nodes. Basic Idea of this algorithm is to make a leaf node of tree A be an inner node of tree B. It has also the
Broadcast_(parallel_pattern)
iPad app for browsing Wikipedia
site. Node view – divides Wikipedia articles into sections, and links articles to related articles, similar to mind mapping. The user can drag nodes, taps
WikiNodes
Algorithms which recursively solve subproblems
originally a political maxim, designates an algorithm design paradigm. A divide-and-conquer algorithm recursively breaks down a problem into two or
Divide-and-conquer_algorithm
Algorithm
expanding the same nodes in the same order. When the cost of an edge changes, LPA* examines all nodes affected by the change, i.e. all nodes at which one of
Lifelong_Planning_A*
Succinct data structure
the string :- Algorithm access Input: - The position i in the string of which we want to know the letter, starting at 1. - The top node W of the wavelet
Wavelet_Tree
Type of binary search tree
node, the top node of R is the new root. Tarjan, Robert E.; Levy, Caleb C.; Timmel, Stephen (2021-10-31). "Zip Trees". ACM Transactions on Algorithms
Zip_tree
Nonlinear dimensionality reduction method
weights along the shortest path between two nodes (computed using Dijkstra's algorithm, for example). The top n eigenvectors of the geodesic distance matrix
Isomap
Linear error correcting code
which variable nodes are updated with the newest available check-node information. The intuition behind these algorithms is that variable nodes whose values
Low-density_parity-check_code
roots performs a top-down traversal of the proof, recomputing the resolvents and replacing broken nodes (e.g. nodes having deletedNodeMarker as one of
LowerUnits
Binary tree derived from a sequence of numbers
The left children of nodes from the left tree and right children of nodes from the right tree remain unchanged. The algorithm is parallelizable since
Cartesian_tree
Description of an algorithm that resembles a computer program
for the Ford–Fulkerson algorithm: algorithm ford-fulkerson is input: Graph G with flow capacity c, source node s, sink node t output: Flow f such that
Pseudocode
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TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
TOP NODES-ALGORITHM
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