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EMBEDDING PROBLEM

  • Embedding problem
  • the embedding problem is a generalization of the inverse Galois problem. Roughly speaking, it asks whether a given Galois extension can be embedded into

    Embedding problem

    Embedding_problem

  • Connes embedding problem
  • Mathematical problem in von Neumann algebra theory

    Connes' embedding problem, formulated by Alain Connes in the 1970s, is a major problem in von Neumann algebra theory. During that time, the problem was reformulated

    Connes embedding problem

    Connes_embedding_problem

  • Book embedding
  • 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

    Book embedding

    Book_embedding

  • Topological graph theory
  • Branch of the mathematical field of graph theory

    the embedding of graphs in surfaces, spatial embeddings of graphs, and graphs as topological spaces. It also studies immersions of graphs. Embedding a graph

    Topological graph theory

    Topological graph theory

    Topological_graph_theory

  • Embedding
  • Inclusion of one mathematical structure in another, preserving properties of interest

    derivative is everywhere injective. An embedding, or a smooth embedding, is defined to be an immersion that is an embedding in the topological sense mentioned

    Embedding

    Embedding

  • Semiabelian group
  • Added a basic definition in group theory and algebra

    appears in Galois theory, in the study of the inverse Galois problem or the embedding problem which is a generalization of the former. Definition: A finite

    Semiabelian group

    Semiabelian_group

  • Linkless embedding
  • Embedding a graph in 3D space with no cycles interlinked

    graph theory, a mathematical discipline, a linkless embedding of an undirected graph is an embedding of the graph into three-dimensional Euclidean space

    Linkless embedding

    Linkless_embedding

  • Skorokhod's embedding theorem
  • In mathematics and probability theory, Skorokhod's embedding theorem is either or both of two theorems that allow one to regard any suitable collection

    Skorokhod's embedding theorem

    Skorokhod's_embedding_theorem

  • Post correspondence problem
  • Undecidable decision problem introduced by Emil Post

    \beta _{j})} is also present. This variant is undecidable. The Post Embedding Problem is another variant where one looks for indexes i 1 , i 2 , … {\displaystyle

    Post correspondence problem

    Post_correspondence_problem

  • Nash embedding theorems
  • Every Riemannian manifold can be isometrically embedded into some Euclidean space

    Nash embedding theorems (or imbedding theorems), named after John Forbes Nash Jr., state that every Riemannian manifold can be isometrically embedded into

    Nash embedding theorems

    Nash_embedding_theorems

  • Graph embedding
  • Embedding a graph in a topological space, often Euclidean

    embedding, cellular embedding or map is an embedding in which every face is homeomorphic to an open disk. A closed 2-cell embedding is an embedding in

    Graph embedding

    Graph embedding

    Graph_embedding

  • Year 2038 problem
  • Computer software bug occurring in 2038

    or never updated, such as legacy and embedded systems. Modern systems and software updates address this problem by using signed 64-bit integers, which

    Year 2038 problem

    Year 2038 problem

    Year_2038_problem

  • Word embedding
  • Method in natural language processing

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is

    Word embedding

    Word embedding

    Word_embedding

  • Cocompact embedding
  • inverse embedding. Cocompactness property allows to verify convergence of sequences, based on translational or scaling invariance in the problem, and is

    Cocompact embedding

    Cocompact_embedding

  • John Selfridge
  • American mathematician (1927–2010)

    pp. 299–311. Howie, John M.; Selfridge, J. L. (1991). "A semigroup embedding problem and an arithmetical function". Mathematical Proceedings of the Cambridge

    John Selfridge

    John_Selfridge

  • Tsirelson's bound
  • Theoretical upper limit to non-local correlations in quantum mechanics

    thus solving Tsirelson's problem in the negative. Tsirelson's problem has been shown to be equivalent to Connes' embedding problem, so the same proof also

    Tsirelson's bound

    Tsirelson's_bound

  • Nonlinear dimensionality reduction
  • Projection of data onto lower-dimensional manifolds

    linear embedding, spectral embedding, local tangent space alignment, multidimensional scaling, and t-distributed stochastic neighbor embedding. Waffles

    Nonlinear dimensionality reduction

    Nonlinear dimensionality reduction

    Nonlinear_dimensionality_reduction

  • Self-embedding
  • Insertion of foreign objects into soft tissues under the skin or into muscle

    Self-embedding is the insertion of foreign objects either into soft tissues under the skin or into muscle. Self-embedding is typically considered deliberate

    Self-embedding

    Self-embedding

  • Sentence embedding
  • Representation in natural language processing

    In natural language processing, a sentence embedding (or document embedding) is a representation of a natural language text as a vector of numbers which

    Sentence embedding

    Sentence_embedding

  • Greedy embedding
  • make progress and the greedy routing process fails. A greedy embedding is an embedding of the given graph with the property that a failure of this type

    Greedy embedding

    Greedy_embedding

  • Moser spindle
  • Undirected unit-distance graph requiring four colors

    triangle-free graph. Thus, the unit distance embedding of the Moser graph may be used to solve the problem of placing seven points in the plane in such

    Moser spindle

    Moser spindle

    Moser_spindle

  • Positive-definite kernel
  • Generalization of a positive-definite matrix

    function-theory, moment problems, integral equations, boundary-value problems for partial differential equations, machine learning, the embedding problem, information

    Positive-definite kernel

    Positive-definite_kernel

  • Nash–Moser theorem
  • Generalization of the inverse function theorem

    (1956), who proved the theorem in the special case of the isometric embedding problem. It is clear from his paper that his method can be generalized. Moser

    Nash–Moser theorem

    Nash–Moser_theorem

  • Kuratowski embedding
  • Mathematical embedding in Banach spaces

    containing X. Formally speaking, this embedding was first introduced by Kuratowski, but a very close variation of this embedding appears already in the papers

    Kuratowski embedding

    Kuratowski_embedding

  • Tutte embedding
  • Planar graph drawn by relaxing springs

    theory, a Tutte embedding or barycentric embedding of a simple, 3-vertex-connected, planar graph is a crossing-free straight-line embedding with the properties

    Tutte embedding

    Tutte_embedding

  • Approximate max-flow min-cut theorem
  • Mathematical propositions in network flow theory

    n-node graph G and an embedding of K n {\displaystyle K_{n}} in G, Chung et al. defined the forwarding index of the embedding to be the maximum number

    Approximate max-flow min-cut theorem

    Approximate_max-flow_min-cut_theorem

  • 1-planar graph
  • Graph with at most one crossing per edge

    only for graphs with a known 1-planar embedding, and use a tree decomposition of a planarization of the embedding with crossings replaced by degree-four

    1-planar graph

    1-planar graph

    1-planar_graph

  • List of unsolved problems in mathematics
  • the d {\displaystyle d} -th power of a linear polynomial? Connes embedding problem in Von Neumann algebra theory Determinantal conjecture on the determinant

    List of unsolved problems in mathematics

    List_of_unsolved_problems_in_mathematics

  • Transformer (deep learning)
  • Algorithm for modelling sequential data

    un-embedding layer is almost the reverse of an embedding layer. Whereas an embedding layer converts a token identifier into a vector, an un-embedding layer

    Transformer (deep learning)

    Transformer (deep learning)

    Transformer_(deep_learning)

  • Travelling salesman problem
  • NP-hard problem in combinatorial optimization

    In the theory of computational complexity, the travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances

    Travelling salesman problem

    Travelling salesman problem

    Travelling_salesman_problem

  • Harborth's conjecture
  • On graph drawing with integer edge lengths

    Unsolved problem in mathematics Does every planar graph have an integral Fáry embedding? More unsolved problems in mathematics In mathematics, Harborth's

    Harborth's conjecture

    Harborth's conjecture

    Harborth's_conjecture

  • Erhard Heinz
  • German mathematician

    prescribed mean curvature, in particular of minimal surfaces, for the Weyl embedding problem, and for systems of Monge-Ampère type. In 1994 he was awarded the

    Erhard Heinz

    Erhard Heinz

    Erhard_Heinz

  • Paul C. Yang
  • Taiwanese-American mathematician

    and Q-curvature. In CR Geometry he is known for his work on the CR embedding problem, the CR Paneitz operator and for introducing the Q' curvature in CR

    Paul C. Yang

    Paul_C._Yang

  • Søren Johansen
  • Danish Statistician and Econometrician (born 1939)

    probability" and in 1974, he became dr. phil. with the thesis "The embedding problem for Markov chains".[citation needed] Johansen visited UCSD where he

    Søren Johansen

    Søren_Johansen

  • Embedding effect
  • The embedding effect is an issue in environmental economics and other branches of economics where researchers wish to identify the value of a specific

    Embedding effect

    Embedding_effect

  • Graph theory
  • Area of discrete mathematics

    embedding (or imbedding) of a graph in surface and linkless embedding, graph minors, crossing number, map coloring, and voltage graph. The embedding of

    Graph theory

    Graph theory

    Graph_theory

  • Simultaneous embedding
  • simultaneous geometric embedding exists, it automatically is also a simultaneous embedding with fixed edges. For simultaneous embedding problems on more than two

    Simultaneous embedding

    Simultaneous_embedding

  • Three utilities problem
  • Mathematical puzzle of avoiding crossings

    houses and utilities and edges representing their connections, has a graph embedding in the plane. The impossibility of the puzzle corresponds to the fact

    Three utilities problem

    Three utilities problem

    Three_utilities_problem

  • Kernel embedding of distributions
  • Class of nonparametric methods

    rule in the kernel embedding framework expresses the kernel embedding of the conditional distribution in terms of conditional embedding operators which are

    Kernel embedding of distributions

    Kernel_embedding_of_distributions

  • Embedded OpenType
  • OpenType inherited font format, from Microsoft with MTX compression

    Microsoft. 2009-11-10. Microsoft Typography - Font Embedding for the Web Microsoft Typography - Web Embedding Fonts Tool EOT-utils – open-source free software

    Embedded OpenType

    Embedded_OpenType

  • Quantum nonlocality
  • Deviations from local realism

    Q_{c}} , thus solving Tsirelson's problem. Tsirelson's problem can be shown equivalent to Connes embedding problem, a famous conjecture in the theory

    Quantum nonlocality

    Quantum_nonlocality

  • Holomorphic Embedding Load-flow method
  • by these controls, an appropriate holomorphic embedding must be also defined. The method uses an embedding technique by means of a complex parameter s.

    Holomorphic Embedding Load-flow method

    Holomorphic_Embedding_Load-flow_method

  • Knowledge graph embedding
  • Dimensionality reduction of graph-based semantic data objects [machine learning task]

    embedding of the head from the embedding of tail given the embedding of the relation. In other words, it quantifies the plausibility of the embedded representation

    Knowledge graph embedding

    Knowledge graph embedding

    Knowledge_graph_embedding

  • John Forbes Nash Jr.
  • American mathematician and Nobel Laureate (1928–2015)

    of the embedding to be very small, with the effect that in many cases it is logically impossible that a highly-differentiable isometric embedding exists

    John Forbes Nash Jr.

    John Forbes Nash Jr.

    John_Forbes_Nash_Jr.

  • Planar graph
  • Graph that can be embedded in the plane

    planar graph. A 1-outerplanar embedding of a graph is the same as an outerplanar embedding. For k > 1 a planar embedding is k-outerplanar if removing the

    Planar graph

    Planar_graph

  • List of unsolved problems in computer science
  • List of unsolved computational problems

    Can a simultaneous embedding with fixed edges for two given graphs be found in polynomial time? Can the square-root sum problem be solved in polynomial

    List of unsolved problems in computer science

    List_of_unsolved_problems_in_computer_science

  • Numerical semigroup
  • Special kind of semigroup in mathematics

    numerical semigroup with embedding dimension three. Every positive integer is the Frobenius number of some numerical semigroup with embedding dimension three.

    Numerical semigroup

    Numerical_semigroup

  • RE (complexity)
  • Complexity class

    proof implies that the Connes embedding problem and Tsirelson's problem are false. RE-complete is the set of decision problems that are complete for RE. In

    RE (complexity)

    RE_(complexity)

  • Louis Nirenberg
  • Canadian-American mathematician (1925–2020)

    wave equations.[BN78a][BN78b] In John Nash's work on the isometric embedding problem, the key step is a small perturbation result, highly reminiscent of

    Louis Nirenberg

    Louis Nirenberg

    Louis_Nirenberg

  • Birthday problem
  • Probability of shared birthdays

    (2016). "Asymptotic Distribution for the Birthday Problem with Multiple Coincidences, via an Embedding of the Collision Process". Random Structures & Algorithms

    Birthday problem

    Birthday problem

    Birthday_problem

  • Cancellative semigroup
  • Semigroup with the cancellation property

    the close relationship between the semigroup embeddability problem and the more general problem of embedding a category into a groupoid. Cancellation property

    Cancellative semigroup

    Cancellative_semigroup

  • Cycle double cover
  • Cycles in a graph that cover each edge twice

    nowhere-zero 5-flow. A stronger type of embedding than a circular embedding is a polyhedral embedding, an embedding of a graph on a surface in such a way

    Cycle double cover

    Cycle double cover

    Cycle_double_cover

  • ELMo
  • Word embedding method

    bidirectional LSTM on top of a token embedding layer. The output of all LSTMs concatenated together consists of the token embedding. The input text sequence is

    ELMo

    ELMo

    ELMo

  • Knapsack problem
  • Problem in combinatorial optimization

    Knapsack problem using quantum computation by minimizing the Hamiltonian of the problem. The Knapsack Hamiltonian is constructed via embedding the constraint

    Knapsack problem

    Knapsack problem

    Knapsack_problem

  • Alain Connes
  • French mathematician (born 1947)

    classification of injective factors. He also formulated the Connes embedding problem. Following this, he made contributions in operator K-theory and index

    Alain Connes

    Alain Connes

    Alain_Connes

  • Higman's embedding theorem
  • In group theory, Higman's embedding theorem states that every finitely generated recursively presented group R can be embedded as a subgroup of some finitely

    Higman's embedding theorem

    Higman's_embedding_theorem

  • BERT (language model)
  • Series of language models developed by Google AI

    layer is the embedding layer, which contains three components: token type embeddings, position embeddings, and segment type embeddings. Token type: The

    BERT (language model)

    BERT_(language_model)

  • Curvilinear principle
  • Concept in sociolinguistics

    response to an important question in sociolinguistics known as the embedding problem, a problem "concerned with determining regular patterns in both the linguistic

    Curvilinear principle

    Curvilinear_principle

  • Universal space
  • Lindenstrauss, Elon; Tsukamoto, Masaki (March 2014). "Mean dimension and an embedding problem: An example". Israel Journal of Mathematics. 199 (2): 573–584. doi:10

    Universal space

    Universal_space

  • GNU MathProg
  • Algebraic modeling language

    AMPL-like syntax for easy model formulation Built-in data section for embedding problem data Compatibility with GLPK for solving and analysis Ability to import

    GNU MathProg

    GNU_MathProg

  • GNRS conjecture
  • has stretch factor one, and all other embeddings have greater stretch factor. The graphs that have an embedding with at most a given distortion are closed

    GNRS conjecture

    GNRS conjecture

    GNRS_conjecture

  • Collatz conjecture
  • Open problem on 3x+1 and x/2 functions

    Unsolved problem in mathematics For even numbers, divide by 2; For odd numbers, multiply by 3 and add 1. With enough repetition, do all positive integers

    Collatz conjecture

    Collatz_conjecture

  • Distance geometry
  • Branch of mathematics

    (-1)^{k+1}\operatorname {CM} (P_{0},\ldots ,P_{k})\geq 0,} then such an embedding exists. Further, such embedding is unique up to isometry in R n {\displaystyle \mathbb

    Distance geometry

    Distance_geometry

  • Non-cognitivism
  • Meta-ethical theory

    basis of its goodness. Another argument is the "embedding problem" in which ethical sentences are embedded into more complex sentences. Consider the following

    Non-cognitivism

    Non-cognitivism

  • Planarity testing
  • Algorithmic problem of finding non-crossing drawings

    graphs to incrementally build planar embeddings of every 3-connected component of G (and hence a planar embedding of G itself). The construction starts

    Planarity testing

    Planarity_testing

  • Representation learning
  • Set of learning techniques in machine learning

    Kevin Chen-Chuan (September 2018). "A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications". IEEE Transactions on Knowledge and

    Representation learning

    Representation learning

    Representation_learning

  • Shing-Tung Yau
  • Chinese-American mathematician (born 1949)

    orientable 3-manifold such that every smooth embedding of a 2-sphere can be extended to a smooth embedding of the unit ball, then the same is true of any

    Shing-Tung Yau

    Shing-Tung Yau

    Shing-Tung_Yau

  • Quadratic unconstrained binary optimization
  • Combinatorial optimization problem

    maximum cut, graph coloring and the partition problem, embeddings into QUBO have been formulated. Embeddings for machine learning models include support-vector

    Quadratic unconstrained binary optimization

    Quadratic_unconstrained_binary_optimization

  • The Three-Body Problem (novel)
  • 2008 science fiction novel by Liu Cixin

    The Three-Body Problem (Chinese: 三体; pinyin: Sān tǐ; lit. 'three body') is a 2008 novel by the Chinese hard science fiction author Liu Cixin. It is the

    The Three-Body Problem (novel)

    The_Three-Body_Problem_(novel)

  • Assouad dimension
  • dimension has also been used to study quasiconformal mappings and embeddability problems. The Assouad dimension of X , d A ( X ) {\displaystyle X,d_{A}(X)}

    Assouad dimension

    Assouad dimension

    Assouad_dimension

  • Per Enflo
  • Swedish mathematician and concert pianist

    {\displaystyle D<{\sqrt {m}}} . Consequently, the optimal embedding is the natural embedding, which realizes { 0 , 1 } m {\displaystyle \{0,1\}^{m}} as

    Per Enflo

    Per Enflo

    Per_Enflo

  • Arc diagram
  • Graph drawing with vertices on a line

    case, an embedding without crossings (if one exists) may be found in polynomial time by translating the problem into a 2-satisfiability problem, in which

    Arc diagram

    Arc diagram

    Arc_diagram

  • Jürgen Neukirch
  • German mathematician

    at the University of Regensburg. He is known for his work on the embedding problem in algebraic number theory, the Báyer–Neukirch theorem on special

    Jürgen Neukirch

    Jürgen Neukirch

    Jürgen_Neukirch

  • Decisional Diffie–Hellman assumption
  • Assumption used in cryptographic systems

    if the embedding degree is small, there are some subgroups of the curve in which the DDH assumption is believed to hold. Diffie–Hellman problem Diffie–Hellman

    Decisional Diffie–Hellman assumption

    Decisional_Diffie–Hellman_assumption

  • Matroid parity problem
  • Largest independent set of paired elements

    possible. The optimal embedding can then be obtained by pairing edges within each component and inserting each pair into an embedding, one pair at a time

    Matroid parity problem

    Matroid parity problem

    Matroid_parity_problem

  • Wormhole
  • Hypothetical topological feature of spacetime

    'space-like surface') is picked and an "embedding diagram" drawn depicting the curvature of space at that time, the embedding diagram will look like a tube connecting

    Wormhole

    Wormhole

    Wormhole

  • Masatake Kuranishi
  • Japanese mathematician (1924–2021)

    point by an embedding in C n {\displaystyle \mathbb {C} ^{n}} . Thus, by Kuranishi's work, in real dimension 9 and higher, local embedding of abstract

    Masatake Kuranishi

    Masatake_Kuranishi

  • Halting problem
  • Problem in computer science

    In computability theory, the halting problem is the decision problem of, given an arbitrary computer program and an input, determining whether said program

    Halting problem

    Halting_problem

  • Möbius strip
  • Non-orientable surface with one edge

    equilateral-triangle version of the Möbius strip. This flat triangular embedding can lift to a smooth embedding in three dimensions, in which the strip lies flat in three

    Möbius strip

    Möbius strip

    Möbius_strip

  • Golomb graph
  • Undirected unit-distance graph requiring four colors

    named after Solomon W. Golomb, who constructed it (with a non-planar embedding) as a unit distance graph that requires four colors in any graph coloring

    Golomb graph

    Golomb graph

    Golomb_graph

  • Stein manifold
  • Term in mathematics

    it can be defined as a complex manifold admitting a proper holomorphic embedding into C n {\displaystyle \mathbb {C} ^{n}} for some n {\displaystyle n}

    Stein manifold

    Stein_manifold

  • Carlo Dalla Pozza
  • Italian philosopher

    81-109) Richard Stuart Anderson, Some Remarks on the Frege-Geach Embedding Problem 2009 Kurt Ranalter, "A Semantic Analysis of a Logic of Assertions

    Carlo Dalla Pozza

    Carlo_Dalla_Pozza

  • List of things named after Kazimierz Kuratowski
  • Kuratowski–Zorn lemma Kuratowski's closure-complement problem Kuratowski's intersection theorem Kuratowski embedding Kuratowski–Ulam theorem Kuratowski-finite Kuratowski

    List of things named after Kazimierz Kuratowski

    List_of_things_named_after_Kazimierz_Kuratowski

  • Word problem for groups
  • Problem in finite group theory

    groups with solvable word problem is unsolvable. This has some interesting consequences. For instance, the Higman embedding theorem can be used to construct

    Word problem for groups

    Word_problem_for_groups

  • QM/MM
  • Molecular simulation method

    be classified as either mechanical embedding, electrostatic embedding or polarized embedding. Mechanical embedding treats the electrostatic interactions

    QM/MM

    QM/MM

  • Year 2000 problem
  • Computer bugs related to the year 2000

    The Year 2000 problem (Y2K) was the potential for computer errors on the Gregorian calendar related to the formatting and storage of calendar data for

    Year 2000 problem

    Year 2000 problem

    Year_2000_problem

  • Constraint satisfaction
  • Process in artificial intelligence and operations research

    determining feasible solutions to problems containing hundreds of variables. During the 1980s and 1990s, embedding of constraints into a programming language

    Constraint satisfaction

    Constraint_satisfaction

  • FKT algorithm
  • Algorithm for counting perfect matchings in planar graphs

    algorithm is to convert the problem into a Pfaffian computation of a skew-symmetric matrix derived from a planar embedding of the graph. The Pfaffian of

    FKT algorithm

    FKT_algorithm

  • Homotopy principle
  • Partial differential equation technique

    Nash embedding theorem, specifically the Nash–Kuiper theorem, which says that any short smooth (⁠ C ∞ {\displaystyle C^{\infty }} ⁠) embedding or immersion

    Homotopy principle

    Homotopy principle

    Homotopy_principle

  • Fáry's theorem
  • Planar graphs have straight drawings

    straight-line combinatorially isomorphic re-embedding of G in which triangle abc is the outer face of the embedding. (Combinatorially isomorphic means that

    Fáry's theorem

    Fáry's_theorem

  • Reinhardt cardinal
  • Set-theoretic concept

    There is a nontrivial elementary embedding j : V → V {\displaystyle j:V\to V} J2: There is a nontrivial elementary embedding j : V → V {\displaystyle j:V\to

    Reinhardt cardinal

    Reinhardt_cardinal

  • Knot (mathematics)
  • Embedding of the circle in three dimensional Euclidean space

    is provided by the graphs with linkless embeddings and knotless embeddings. A linkless embedding is an embedding of the graph with the property that any

    Knot (mathematics)

    Knot (mathematics)

    Knot_(mathematics)

  • Andrey Markov Jr.
  • Soviet mathematician (1903–1979)

    to embed any algorithm within their structure. Hence, classifying all four-manifolds would imply a solution to Turing's halting problem. Embedding implies

    Andrey Markov Jr.

    Andrey_Markov_Jr.

  • PDF/A
  • ISO-standardized version of PDF for archives

    opposed to font embedding) and encryption. The ISO requirements for PDF/A file viewers include color management guidelines, support for embedded fonts, and

    PDF/A

    PDF/A

  • Unknotting problem
  • Determining whether a knot is the unknot

    peer-reviewed literature. The unknotting problem has the same computational complexity as testing whether an embedding of an undirected graph in Euclidean

    Unknotting problem

    Unknotting problem

    Unknotting_problem

  • Link prediction
  • Problem in network theory

    methods. Graph embeddings also offer a convenient way to predict links. Graph embedding algorithms, such as Node2vec, learn an embedding space in which

    Link prediction

    Link_prediction

  • Spatial embedding
  • mathematical embedding from a space with many dimensions per geographic object to a continuous vector space with a much lower dimension. Such embedding methods

    Spatial embedding

    Spatial_embedding

  • Extensible Metadata Platform
  • ISO standard

    Embedding metadata in files allows easy sharing and transfer of files across products, vendors, platforms, without metadata getting lost. Embedding avoids

    Extensible Metadata Platform

    Extensible_Metadata_Platform

  • Matroid embedding
  • Set system related to matroids

    In combinatorics, a matroid embedding is a set system (F, E), where F is a collection of feasible sets, that satisfies the following properties. Accessibility

    Matroid embedding

    Matroid_embedding

  • Xuong tree
  • edge. An embedding of maximum genus may be obtained from a planar embedding of the Xuong tree by adding each two-edge path to the embedding in such a

    Xuong tree

    Xuong tree

    Xuong_tree

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