AI & ChatGPT searches , social queries for SPARSE GRAPH-CODE
Search references for SPARSE GRAPH-CODE. Phrases containing SPARSE GRAPH-CODE
See searches and references containing SPARSE GRAPH-CODE!
Search references for SPARSE GRAPH-CODE. Phrases containing SPARSE GRAPH-CODE
See searches and references containing SPARSE GRAPH-CODE!SPARSE GRAPH-CODE
A Sparse graph code is a code which is represented by a sparse graph. Any linear code can be represented as a graph, where there are two sets of nodes
Sparse_graph_code
Linear error correcting code
using a flexible design method that is based on sparse Tanner graphs (specialized bipartite graphs). LDPC code ensembles have also been analyzed using methods
Low-density_parity-check_code
Sparse graph with strong connectivity
In graph theory, an expander graph is a sparse graph that has strong connectivity properties, quantified using vertex, edge or spectral expansion. Expander
Expander_graph
Matrix in which most of the elements are zero
Pareto principle Ragged matrix Single-entry matrix Skyline matrix Sparse graph code Sparse file Harwell-Boeing file format Matrix Market exchange formats
Sparse_matrix
Scheme for controlling errors in data over noisy communication channels
Gallager code, as the archetype for sparse graph codes LT code, which is a near-optimal rateless erasure correcting code (Fountain code) m of n codes Nordstrom-Robinson
Error_correction_code
Petersen graph Planar graph Dual polyhedron Outerplanar graph Random graph Regular graph Scale-free network Snark (graph theory) Sparse graph Sparse graph code
List_of_graph_theory_topics
Graph that can be embedded in the plane
this sense, planar graphs are sparse graphs, in that they have only O(v) edges, asymptotically smaller than the maximum O(v2). The graph K3,3, for example
Planar_graph
Methodic assignment of colors to elements of a graph
In graph theory, graph coloring is a methodic assignment of labels traditionally called "colors" to elements of a graph. The assignment is subject to certain
Graph_coloring
Database using graph structures for queries
A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key
Graph_database
Abstract data type in computer science
science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within
Graph_(abstract_data_type)
Square matrix used to represent a graph or network
In graph theory and computer science, an adjacency matrix is a square matrix used to represent a finite graph. The elements of the matrix indicate whether
Adjacency_matrix
Algorithm for finding shortest paths
) {\textstyle \Theta (|E|+|V|^{2})=\Theta (|V|^{2})} . For sparse graphs, that is, graphs with far fewer than | V | 2 {\displaystyle |V|^{2}} edges, Dijkstra's
Dijkstra's_algorithm
Repetition code SEC-DED SFV SHA-1 SHA-2 Sanity testing Shaping codes Singleton bound Snake-in-the-box Snefru Soft output Viterbi algorithm Sparse graph code Syndrome
List of algebraic coding theory topics
List_of_algebraic_coding_theory_topics
API for graph data and graph operations
the language of linear algebra. GraphBLAS is built upon the notion that a sparse matrix can be used to represent graphs as either an adjacency matrix or
GraphBLAS
Type of data model
model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime
Entity–attribute–value_model
problem in a weighted, directed graph Johnson's algorithm: all pairs shortest path algorithm in sparse weighted directed graph Transitive closure problem:
List_of_algorithms
Polyspace PVS-Studio SLAM project Sparse SonarQube Splint Understand Visual Studio Axivion Suite (Bauhaus) Code Dx CodeScene CodeQL Coverity Fluid Attacks Kiuwan
List of tools for static code analysis
List_of_tools_for_static_code_analysis
1998 and published in 2002. Like some other fountain codes, LT codes depend on sparse bipartite graphs to trade reception overhead for encoding and decoding
Luby_transform_code
Graph path which is an induced subgraph
of the longest induced path in a graph has sometimes been called the detour number of the graph; for sparse graphs, having bounded detour number is equivalent
Induced_path
Optimization technique
Graph cuts remain a gold standard in medical diagnostics where data is often noisy or sparse. Volumetric Segmentation: In MRI and CT analysis, graph cuts
Graph cuts in computer vision and artificial intelligence
Graph_cuts_in_computer_vision_and_artificial_intelligence
Tree node with two other nodes as descendants
on trees, preprocess a graph to enable constant-time LCA queries. The problem of LCA existence can be solved optimally for sparse DAGs by means of an O(|V||E|)
Lowest_common_ancestor
Topological quantum error correcting code
The surface code is a topological quantum error correcting code, and an example of a stabilizer code, defined on a two-dimensional spin lattice. The first
Surface_code
Israeli mathematician
and graph theory. He is a professor of mathematics at the University of Haifa. He is a recipient of the Nerode Prize for his work on color-coding,[A]
Raphael_Yuster
Task of computing complete subgraphs
collection of graphs used as benchmarks for the challenge, which is publicly available. Planar graphs, and other families of sparse graphs, have been discussed
Clique_problem
Set of learning techniques in machine learning
Coates and Ng note that certain variants of k-means behave similarly to sparse coding algorithms. In a comparative evaluation of unsupervised feature learning
Feature_learning
Graph in climate science
Hockey stick graphs present global or hemispherical mean global surface temperatures of the distant past, as shown by quantitative climate reconstructions
Hockey stick graph (global temperature)
Hockey_stick_graph_(global_temperature)
Property of an intermediate representation in a compiler
in advance Sparse conditional constant propagation – range-check some values, allowing tests to predict the most likely branch Dead-code elimination
Static_single-assignment_form
Graph layout on multiple half-planes
In graph theory, a book embedding is a generalization of planar embedding of a graph to embeddings in a book, a collection of half-planes all having the
Book_embedding
Type of matrix factorization
algorithms have been developed for factorizing large sparse matrices. These algorithms attempt to find sparse factors L and U. Ideally, the cost of computation
LU_decomposition
Type of compiler optimization
propagation known as sparse conditional constant propagation can more accurately propagate constants and simultaneously remove dead code. Constant folding
Constant_folding
Type of graph vertex labeling
{9}{4}}}}\right\rfloor } vertices, due to sparse ruler results. This conjecture has been verified for all graphs with 213 or fewer edges. A related conjecture
Graceful_labeling
concise code that is easy to understand and debug, while being well suited for irregular algorithms, such as algorithms on trees, graphs or sparse matrices
NESL
widget toolkit for creating graphical user interfaces GTK Scene Graph Kit (GSK) — scene graph and rendering toolkit for GTK HDF — file format and library
List_of_C_software_and_tools
Single large version-control repository for many projects
partial clone Svn Book: Sparse Directories Perforce: Clone Metz, Cade (16 September 2015). "Google Is 2 Billion Lines of Code—And It's All in One Place"
Monorepo
Algorithm for maximum cardinality matching
In the case of dense graphs the time bound becomes O ( | V | 2.5 ) {\displaystyle O(|V|^{2.5})} , and for sparse random graphs it runs in time O ( |
Hopcroft–Karp_algorithm
Mathematical model of memory
Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research
Sparse_distributed_memory
Algebraic encoding of graph connectivity
is a graph polynomial. It is a polynomial in two variables which plays an important role in graph theory. It is defined for every undirected graph G {\displaystyle
Tutte_polynomial
Problem in graph theory
Krivelevich, Michael; Sudakov, Benny (2003), "Sparse pseudo-random graphs are Hamiltonian", Journal of Graph Theory, 42: 17–33, CiteSeerX 10.1.1.24.553,
Lovász_conjecture
Least-weight tree connecting graph vertices
graph theory, a minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected, edge-weighted undirected graph that
Minimum_spanning_tree
Type of information retrieval using LLMs
These methods focus on the encoding of text as either dense or sparse vectors. Sparse vectors, which encode the identity of a word, are typically dictionary-length
Retrieval-augmented generation
Retrieval-augmented_generation
Compiler that optimizes generated code
cannot, and vice versa. Sparse conditional constant propagation Combines constant propagation, constant folding, and dead-code elimination, and improves
Optimizing_compiler
Representation of a graph as a path graph "thickened" by some amount
In graph theory, a path decomposition of a graph G is, informally, a representation of G as a "thickened" path graph, and the pathwidth of G is a number
Pathwidth
Numerical calculations carrying along derivatives
Speed Up for xVA Pricing Calculations with Intel Xeon Scalable Processors Sparse truncated Taylor series implementation with VBIC95 example for higher order
Automatic_differentiation
Parallel version of breadth-first search algorithm
explore the vertices of a graph layer by layer. It is a basic algorithm in graph theory which can be used as a part of other graph algorithms. For instance
Parallel_breadth-first_search
Polynomial-time algorithm for the assignment problem
{\displaystyle y} from the previous solution up to a constant offset. When the graph is sparse (there are only M {\displaystyle M} allowed job, worker pairs), it
Hungarian_algorithm
Number of bits that differ between two strings
problem Gray code Jaccard index Jaro–Winkler distance Levenshtein distance Mahalanobis distance Mannheim distance Sørensen similarity index Sparse distributed
Hamming_distance
iterated sparse graph-based error correcting codes like LDPC codes and turbo codes. When the bit error ratio (BER) is plotted for conventional codes like
Error_floor
Computational problem in graph theory
find an approximately optimal maximum flow but only work in undirected graphs. In 2013 James B. Orlin published a paper describing an O ( | V | | E |
Maximum_flow_problem
Measure of similarity and diversity between sets
The Jaccard index is particularly useful for analyzing large-scale and sparse datasets in modern data mining applications. Given two objects, A and B
Jaccard_index
Analog of the continuous Laplace operator
operator, defined so that it has meaning on a graph or a discrete grid. For the case of a finite-dimensional graph (having a finite number of edges and vertices)
Discrete_Laplace_operator
Abstract data type
backtracking algorithm is depth-first search, which finds all vertices of a graph that can be reached from a specified starting vertex. Other applications
Stack_(abstract_data_type)
mathematics, a minimum bottleneck spanning tree (MBST) in an undirected graph is a spanning tree in which the most expensive edge is as cheap as possible
Minimum bottleneck spanning tree
Minimum_bottleneck_spanning_tree
Mathematics problem
and are relatively sparse (compared to e.g. hypercubes). An example of the pancake sorting algorithm is given below in Python. The code is similar to bubble
Pancake_sorting
Algorithmic complexity class
describe. The circuit represents a graph with 2 n {\displaystyle 2^{n}} vertices. For each pair of vertices, if the binary code for the two vertices are put
EXPTIME
Russian high-performance multi-model database
Instead of indexes based on B+-trees traditionally used in graph databases, NitrosBase uses a sparse link index of its own devising. Another source of performance
NitrosBase
Function in algebraic graph theory
chromatic polynomial is a graph polynomial studied in algebraic graph theory, a branch of mathematics. It counts the number of graph colorings as a function
Chromatic_polynomial
Unsolved problem in extremal graph theory
which the Kővári–Sós–Turán bound is tight. Biclique-free graph, sparse graphs whose sparsity is controlled by the solution to the Zarankiewicz problem
Zarankiewicz_problem
Numerical programming library for the OCaml programming language
Using the computation graph offers another dimension optimization to the computation in Owl. Besides, the computation graph also bridges Owl application
Owl_Scientific_Computing
Computer Networking Program
such as tunable sparse network coding that exploit this knowledge. These protocols introduce sparsity (zero-elements) in the coding coefficients at the
Linear_network_coding
Hungarian mathematician
of MDS-cyclic codes. In 2001 Balogh received his doctorate from the University of Memphis with advisor Béla Bollobás and thesis Graph properties and
József_Balogh_(mathematician)
One-by-one assignment of colors to graph vertices
possible, while for bipartite graphs and sparse graphs a logarithmic ratio can be achieved. Indeed, for sparse graphs, the standard greedy coloring strategy
Greedy_coloring
Topics referred to by the same term
Monge array Holors Orthogonal array Intersection array, a kind of regular graph Array (data structure), an arrangement of data in computer memory Array
Array
Knowledge base that represents semantic relations between concepts in a network
used as a form of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent
Semantic_network
Abstraction of graph shortest cycles
generalizes the notion of the shortest cycle in a graph, the edge connectivity of a graph, Hall sets in bipartite graphs, even sets in families of sets, and general
Matroid_girth
Method for finding largest (or smallest) eigenvalues
its nvGRAPH library introduced in CUDA 8. Sphynx, a hybrid distributed- and shared-memory-enabled parallel graph partitioner - the first graph partitioning
LOBPCG
Algorithm to find Euclidean shortest paths
the above family: The performance of a visibility graph approach can be greatly improved by a sparse approach that only considers edges able to form taut
Any-angle_path_planning
2003 mathematics text
of the graph. Sparse expander graphs have many important applications in computer science, including the development of error correcting codes, the design
Elementary Number Theory, Group Theory and Ramanujan Graphs
Elementary_Number_Theory,_Group_Theory_and_Ramanujan_Graphs
Computational complexity of quantum algorithms
types of graphs, called directed graphs, that are associated with this type of computational modelling. In brief, directed graphs are graphs where all
Quantum_complexity_theory
Optimization problem in computer science
differences in the distance should not matter. Proximity graph methods (such as navigable small world graphs and HNSW) are considered the current state-of-the-art
Nearest_neighbor_search
Last letter of the Greek alphabet
letter of the 1982 revision to the African reference alphabet, and is in sparse use. The uppercase letter Ω is used as a symbol: In chemistry: For oxygen-18
Omega
Computational software program
package, which adds discrete mathematics functionality in combinatorics and graph theory to the program. Communication with other applications can be done
Wolfram_Mathematica
Discrete Fourier transform algorithm
ALGLIB FFT Code – a dual/GPL-licensed multilanguage (VBA, C++, Pascal, etc.) numerical analysis and data processing library SFFT: Sparse Fast Fourier
Fast_Fourier_transform
Multivariate statistical technique
to find the main factors or gradients in large, species-rich but usually sparse data matrices that typify ecological community data. DCA is frequently used
Detrended correspondence analysis
Detrended_correspondence_analysis
Algorithm used by Google Search to rank web pages
PageRank Computation Via a Sparse Linear System (Extended Abstract)". In Stefano Leonardi (ed.). Algorithms and Models for the Web-Graph: Third International
PageRank
Free and open-source compiler for various programming languages
performed at this level include dead-code elimination, partial-redundancy elimination, global value numbering, sparse conditional constant propagation, and
GNU_Compiler_Collection
Java software and development tools
Querying – fluent API for SQL JPOS – financial messaging JUNG – open-source graph modeling and visualization LanguageWare – language processing LibGDX – game
List of Java software and tools
List_of_Java_software_and_tools
Image segmentation algorithm
be calculated analytically by solving a sparse, positive-definite system of linear equations with the graph Laplacian matrix, which we may represent
Random_walker_algorithm
Solving an optimization problem with a quadratic objective function
is using the Motzkin-Straus theorem. It states that, for any undirected graph G, a certain quadratic program associated with G has a maximum that is function
Quadratic_programming
Parallel computing platform and programming model
of dense and sparse direct solvers cuSPARSE – CUDA Sparse Matrix library NPP – NVIDIA Performance Primitives library nvGRAPH – NVIDIA Graph Analytics library
CUDA
Computational problem of graph theory
all pairs' shortest paths, and may be faster than Floyd–Warshall on sparse graphs. Perturbation theory finds (at worst) the locally shortest path. Cherkassky
K_shortest_path_routing
List of notable software written in or for the C++ programming language
OpenGL OpenNN — neural networks library OpenVDB — sparse volume data library openFrameworks — creative coding toolkit OpenRTM-aist — robotics middleware library
List of C++ software and tools
List_of_C++_software_and_tools
Computational navigational technique used by robots and autonomous vehicles
EKF fails. In robotics, GraphSLAM is a SLAM algorithm which uses sparse information matrices produced by generating a factor graph of observation interdependencies
Simultaneous localization and mapping
Simultaneous_localization_and_mapping
Mapping function that preserves data point locality
Z-order, Lebesgue curve, Morton space-filling curve, Morton order or Morton code map multidimensional data to one dimension while preserving locality of the
Z-order_curve
Tree data structure in which each node has at most m children
In graph theory, an m-ary tree (for nonnegative integers m) (also known as n-ary, k-ary, k-way or generic tree) is an arborescence (or, for some authors
M-ary_tree
1999 Microsoft operating system version
(provided by QuotaAdvisor), file-system-level encryption, sparse files and reparse points. Sparse files allow for the efficient storage of data sets that
Windows_2000
Processing mode
"This Week in Graph and Entity Analytics". Datanami. December 7, 2016. Retrieved March 8, 2018. "Cambridge Semantics Announces AnzoGraph Support for Amazon
Online_analytical_processing
Visual representation of data
imagery. The visual formats used in data visualization includes charts and graphs, geospatial maps, figures, correlation matrices, percentage gauges, etc
Data and information visualization
Data_and_information_visualization
Open-source Python library for scientific computing
numerical nonlinear programming optimizers signal: signal processing tools sparse: sparse matrices and related algorithms spatial: algorithms for spatial structures
SciPy
N x N matrix describing a linear power system with N buses
systems which contain thousands of buses, the admittance matrix is quite sparse. Each bus in a real power system is usually connected to only a few other
Nodal_admittance_matrix
Projection of data onto lower-dimensional manifolds
individual data points as the nodes of a graph and the kernel k as defining some sort of affinity on that graph. The graph is symmetric by construction since
Nonlinear dimensionality reduction
Nonlinear_dimensionality_reduction
problem Set cover problem Shuffling puzzle Small set (combinatorics) Sparse matrix, Sparse array Sperner family Sperner's lemma Stable marriage problem Steiner
Index of combinatorics articles
Index_of_combinatorics_articles
Process of reducing the number of random variables under consideration
high-dimensional spaces can be undesirable for many reasons; raw data are often sparse as a consequence of the curse of dimensionality, and analyzing the data
Dimensionality_reduction
C++ framework for compiler development
(2022-12-31). "Compiler Support for Sparse Tensor Computations in MLIR". ACM Transactions on Architecture and Code Optimization. 19 (4): 1–25. arXiv:2202
MLIR_(software)
Three raised to an integer power
regular graphs also have a number of vertices that is a power of three, including the Brouwer–Haemers graph (81 vertices), Berlekamp–van Lint–Seidel graph (243
Power_of_three
In graph theory a minimum spanning tree (MST) T {\displaystyle T} of a graph G = ( V , E ) {\displaystyle G=(V,E)} with | V | = n {\displaystyle |V|=n}
Parallel algorithms for minimum spanning trees
Parallel_algorithms_for_minimum_spanning_trees
bipartite graphs. Degree matrix — a diagonal matrix defining the degree of each vertex in a graph. Edmonds matrix — a square matrix of a bipartite graph. Incidence
List_of_named_matrices
Large language model developed by Google
data simultaneously, including text, images, audio, video, and computer code. It had been developed as a collaboration between DeepMind and Google Brain
Gemini_(language_model)
Overview of and topical guide to combinatorics
combinatorics Graph theory Infinitary combinatorics Matroid theory Order theory Partition theory Probabilistic combinatorics Topological combinatorics Coding theory
Outline_of_combinatorics
Algorithm for modelling sequential data
using locality-sensitive hashing and reversible layers. Sparse attention uses attention graphs that grows slower than O ( N 2 ) {\displaystyle O(N^{2})}
Transformer_(deep_learning)
Machine learning software library
computational graph which is executed later. Code executed eagerly can be examined step-by step-through a debugger, since data is augmented at each line of code rather
TensorFlow
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE
SPARSE GRAPH-CODE