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CONVEX SET

  • Convex set
  • In geometry, set whose intersection with every line is a single line segment

    geometry, a set of points is convex if it contains every line segment between two points in the set. For example, a solid cube is a convex set, but anything

    Convex set

    Convex set

    Convex_set

  • Partially ordered set
  • Mathematical set with an ordering

    convex sets of geometry, one uses order-convex instead of "convex". A convex sublattice of a lattice L is a sublattice of L that is also a convex set

    Partially ordered set

    Partially ordered set

    Partially_ordered_set

  • Convex hull
  • Smallest convex set containing a given set

    In geometry, the convex hull, convex envelope or convex closure of a shape is the smallest convex set that contains it. The convex hull may be defined

    Convex hull

    Convex hull

    Convex_hull

  • Convex function
  • Real function with secant line between points above the graph itself

    function is convex if its epigraph (the set of points on or above the graph of the function) is a convex set. In simple terms, a convex function graph

    Convex function

    Convex function

    Convex_function

  • Convex optimization
  • Subfield of mathematical optimization

    Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently

    Convex optimization

    Convex_optimization

  • Convex analysis
  • Mathematics of convex functions and sets

    Convex analysis is the branch of mathematics that studies convex sets, convex functions, and their applications to optimization, functional analysis,

    Convex analysis

    Convex analysis

    Convex_analysis

  • Convex cone
  • Mathematical set closed under positive linear combinations

    combinations with positive coefficients. It follows that convex cones are convex sets. The definition of a convex cone makes sense in a vector space over any ordered

    Convex cone

    Convex cone

    Convex_cone

  • Star domain
  • Property of point sets in Euclidean spaces

    a set S {\displaystyle S} in the Euclidean space R n {\displaystyle \mathbb {R} ^{n}} is called a star domain (or star-convex set, star-shaped set or

    Star domain

    Star domain

    Star_domain

  • Convex polytope
  • Convex hull of a finite set of points in a Euclidean space

    A convex polytope is a special case of a polytope, having the additional property that it is also a convex set contained in the n {\displaystyle n} -dimensional

    Convex polytope

    Convex polytope

    Convex_polytope

  • Algorithmic problems on convex sets
  • problems in mathematical programming can be formulated as problems on convex sets or convex bodies. Six kinds of problems are particularly important: optimization

    Algorithmic problems on convex sets

    Algorithmic_problems_on_convex_sets

  • Convex polygon
  • Polygon that is the boundary of a convex set

    In geometry, a convex polygon is a polygon that is the boundary of a convex set. This means that the line segment between two points of the polygon is

    Convex polygon

    Convex polygon

    Convex_polygon

  • Convex curve
  • Type of plane curve

    Examples of convex curves include the convex polygons, the boundaries of convex sets, and the graphs of convex functions. Important subclasses of convex curves

    Convex curve

    Convex curve

    Convex_curve

  • Absolutely convex set
  • Convex and balanced set

    disk. The disked hull or the absolute convex hull of a set is the intersection of all disks containing that set. A subset S {\displaystyle S} of a real

    Absolutely convex set

    Absolutely_convex_set

  • Projections onto convex sets
  • convex sets (POCS), sometimes known as the alternating projection method, is a method to find a point in the intersection of two closed convex sets.

    Projections onto convex sets

    Projections_onto_convex_sets

  • Orthogonal convex hull
  • Minimal superset that intersects each axis-parallel line in an interval

    In geometry, a set K ⊂ Rd is defined to be orthogonally convex if, for every line L that is parallel to one of standard basis vectors, the intersection

    Orthogonal convex hull

    Orthogonal convex hull

    Orthogonal_convex_hull

  • Function of several complex variables
  • Type of mathematical functions

    logarithmically convex. A Reinhardt domain D is called logarithmically convex if the image λ ( D ∗ ) {\displaystyle \lambda (D^{*})} of the set D ∗ = { z =

    Function of several complex variables

    Function_of_several_complex_variables

  • Locally convex topological vector space
  • Space with topology generated by convex sets

    whose topology is generated by translations of balanced, absorbent, convex sets. Alternatively they can be defined as a vector space with a family of

    Locally convex topological vector space

    Locally_convex_topological_vector_space

  • Convex geometry
  • Branch of geometry

    In mathematics, convex geometry is the branch of geometry studying convex sets, mainly in Euclidean space. Convex sets occur naturally in many areas: computational

    Convex geometry

    Convex_geometry

  • Interval (mathematics)
  • All numbers between two given numbers

    of the intervals. The concepts of convex sets and convex components are used in a proof that every totally ordered set endowed with the order topology is

    Interval (mathematics)

    Interval_(mathematics)

  • Convex combination
  • Linear combination of points where all coefficients are non-negative and sum to 1

    In convex geometry and vector algebra, a convex combination is a linear combination of points (which can be vectors, scalars, or more generally points

    Convex combination

    Convex combination

    Convex_combination

  • Integrally convex set
  • An integrally convex set is the discrete geometry analogue of the concept of convex set in geometry. A subset X of the integer grid Z n {\displaystyle

    Integrally convex set

    Integrally_convex_set

  • Proximal gradient method
  • Form of projection

    used to solve non-differentiable convex optimization problems. Many interesting problems can be formulated as convex optimization problems of the form

    Proximal gradient method

    Proximal gradient method

    Proximal_gradient_method

  • Heptagon
  • Shape with seven sides

    double lattice packing density of any convex set, and more generally for the optimal packing density of any convex set. Some 1000-kwacha coins from Zambia

    Heptagon

    Heptagon

    Heptagon

  • Cap set
  • Points with no three in a line

    spaces as well as from compact convex co-convex subsets of a convex set. An example of cap sets comes from the card game Set, a card game in which each card

    Cap set

    Cap set

    Cap_set

  • Linear combination
  • Sum of terms, each multiplied with a scalar

    convex cones, and convex sets are generalizations of vector subspaces: a vector subspace is also an affine subspace, a convex cone, and a convex set,

    Linear combination

    Linear combination

    Linear_combination

  • Convex
  • Topics referred to by the same term

    joins points Convex polygon, a polygon which encloses a convex set of points Convex polytope, a polytope with a convex set of points Convex metric space

    Convex

    Convex

  • Convex body
  • Non-empty convex set in Euclidean space

    mathematics, a convex body in n {\displaystyle n} -dimensional Euclidean space R n {\displaystyle \mathbb {R} ^{n}} is a compact convex set with non-empty

    Convex body

    Convex body

    Convex_body

  • Blaschke selection theorem
  • Sequences of convex sets in a bounded set have convergent subsequences

    topology and convex geometry about sequences of convex sets. Specifically, given a sequence { K n } {\displaystyle \{K_{n}\}} of convex sets contained in

    Blaschke selection theorem

    Blaschke_selection_theorem

  • Strictly convex
  • Topics referred to by the same term

    enclosing a strictly convex set of points Strictly convex set, a set whose interior contains the line between any two points Strictly convex space, a normed

    Strictly convex

    Strictly_convex

  • Convex metric space
  • dimensions—are convex metric spaces. Given any two distinct points x {\displaystyle x} and y {\displaystyle y} in such a space, the set of all points z

    Convex metric space

    Convex metric space

    Convex_metric_space

  • Quasiconvex function
  • Mathematical function with convex lower level sets

    a convex subset of a real vector space, such that for any real number y, the set of points on which the function value is at most y is a convex set. In

    Quasiconvex function

    Quasiconvex function

    Quasiconvex_function

  • Convex position
  • computational geometry, a set of points in the Euclidean plane or a higher-dimensional Euclidean space is said to be in convex position or convex independent if

    Convex position

    Convex_position

  • Extreme point
  • Point not between two other points

    In mathematics, an extreme point of a convex set S {\displaystyle S} in a real or complex vector space or affine space is a point in S {\displaystyle S}

    Extreme point

    Extreme point

    Extreme_point

  • Opaque set
  • Shape that blocks all lines of sight

    opaque set for the square, and for most other shapes this problem similarly remains unsolved. The shortest opaque set for any bounded convex set in the

    Opaque set

    Opaque set

    Opaque_set

  • Minkowski addition
  • Sums vector sets A and B by adding each vector in A to each vector in B

    the Minkowski sum with a vector subtraction. If the two convex shapes intersect, the resulting set will contain the origin. A − B = { a − b | a ∈ A ,   b

    Minkowski addition

    Minkowski addition

    Minkowski_addition

  • Convex hull algorithms
  • Class of algorithms in computational geometry

    proposed for computing the convex hull of a finite set of points, with various computational complexities. Computing the convex hull means that a non-ambiguous

    Convex hull algorithms

    Convex_hull_algorithms

  • Interior-point method
  • Algorithms for solving convex optimization problems

    convex function and G is a convex set. Without loss of generality, we can assume that the objective f is a linear function. Usually, the convex set G

    Interior-point method

    Interior-point method

    Interior-point_method

  • Minkowski–Steiner formula
  • (1969) for a full treatment of this problem. When the set A {\displaystyle A} is a convex set, the lim-inf above is a true limit, and one can show that

    Minkowski–Steiner formula

    Minkowski–Steiner_formula

  • Face (geometry)
  • Planar surface that forms part of the boundary of a solid object

    According to this definition, the set of faces of a polytope includes the polytope itself and the empty set. For convex polytopes, this definition is equivalent

    Face (geometry)

    Face (geometry)

    Face_(geometry)

  • Convex space
  • mathematics, a convex space (or barycentric algebra) is a space in which it is possible to take convex combinations of any finite set of points. A convex space

    Convex space

    Convex_space

  • Absorbing set
  • Set that can be "inflated" to reach any point

    set – Convex and balanced set Balanced set – Construct in functional analysis Bornivorous set – Set that can absorb any bounded subset Bounded set (topological

    Absorbing set

    Absorbing_set

  • Balanced set
  • Construct in functional analysis

    origin and every convex neighborhood of the origin contains a balanced convex neighborhood of the origin (even if the TVS is not locally convex). This neighborhood

    Balanced set

    Balanced_set

  • Fuzzy set
  • Sets whose elements have degrees of membership

    fuzzy set A ( U ⊆ R ) {\displaystyle A(U\subseteq \mathbb {R} )} is said to be convex (in the fuzzy sense, not to be confused with a crisp convex set), iff

    Fuzzy set

    Fuzzy_set

  • Sylvester's four point problem
  • Problem in geometric probability

    ) Among continuous uniform distributions over bounded convex sets the probability of a convex quadrilateral is maximized by any circle or ellipse (probability

    Sylvester's four point problem

    Sylvester's_four_point_problem

  • Support function
  • Distance from origin of tangent hyperplanes

    In mathematics, the support function hA of a non-empty closed convex set A in R n {\displaystyle \mathbb {R} ^{n}} describes the (signed) distances of

    Support function

    Support_function

  • Mean width
  • is compact), but it is most useful for convex bodies (that is bodies, whose corresponding set is a convex set). The mean width of a line segment L is

    Mean width

    Mean width

    Mean_width

  • Separation oracle
  • Black-box description of a convex set

    oracle) is a concept in the mathematical theory of convex optimization. It is a method to describe a convex set that is given as an input to an optimization

    Separation oracle

    Separation_oracle

  • Polar set
  • Subset of all points that is bounded by some given point of a dual (in a dual pairing)

    functional and convex analysis, and related disciplines of mathematics, the polar set A ∘ {\displaystyle A^{\circ }} is a special convex set associated to

    Polar set

    Polar_set

  • Convex series
  • In mathematics, particularly in functional analysis and convex analysis, a convex series is a series of the form ∑ i = 1 ∞ r i x i {\displaystyle \sum

    Convex series

    Convex_series

  • Minkowski's theorem
  • Every symmetric convex set in R^n with volume > 2^n contains a non-zero integer point

    In mathematics, Minkowski's theorem is the statement that every convex set in R n {\displaystyle \mathbb {R} ^{n}} which is symmetric with respect to the

    Minkowski's theorem

    Minkowski's theorem

    Minkowski's_theorem

  • Credal set
  • Set of probability measures

    measures. A credal set is often assumed or constructed to be a closed convex set. It is intended to express uncertainty or doubt about the probability

    Credal set

    Credal_set

  • Power series
  • Infinite sum of monomials

    region, is a convex set. More generally, one can show that when c=0, the interior of the region of absolute convergence is always a log-convex set in this

    Power series

    Power_series

  • Lattice (group)
  • Periodic set of points

    \mathrm {d} (\Lambda )} ⁠, or more generally the volume of a symmetric convex set S {\displaystyle S} , to the number of lattice points contained in ⁠ S

    Lattice (group)

    Lattice (group)

    Lattice_(group)

  • Carathéodory's theorem (convex hull)
  • Point in the convex hull of a set P in Rd, is the convex combination of d+1 points in P

    in convex geometry. It states that if a point x {\displaystyle x} lies in the convex hull C o n v ( P ) {\displaystyle \mathrm {Conv} (P)} of a set P ⊂

    Carathéodory's theorem (convex hull)

    Carathéodory's_theorem_(convex_hull)

  • Blichfeldt's theorem
  • High-area shapes can shift to hold many grid points

    states that any convex set in the plane that is centrally symmetric around the origin, with area greater than four (or a compact symmetric set with area equal

    Blichfeldt's theorem

    Blichfeldt's theorem

    Blichfeldt's_theorem

  • Relative convex hull
  • geometry and computational geometry, the relative convex hull or geodesic convex hull is an analogue of the convex hull for the points inside a simple polygon

    Relative convex hull

    Relative convex hull

    Relative_convex_hull

  • Lemon (geometry)
  • Geometric shape

    self-intersecting torus). The lemon forms the boundary of a convex set, while its surrounding apple is non-convex. The ball in North American football has a shape

    Lemon (geometry)

    Lemon (geometry)

    Lemon_(geometry)

  • Blaschke–Lebesgue theorem
  • On least area of curves of constant width

    who published it separately in the early 20th century. The width of a convex set K {\displaystyle K} in the Euclidean plane is defined as the minimum distance

    Blaschke–Lebesgue theorem

    Blaschke–Lebesgue theorem

    Blaschke–Lebesgue_theorem

  • Topological vector space
  • Vector space with a notion of nearness

    intersection of any family of convex sets is convex and the convex hull of a subset is equal to the intersection of all convex sets that contain it. Properties

    Topological vector space

    Topological_vector_space

  • Supporting hyperplane
  • Hyperplane in geometry

    the hyperplane. This theorem states that if S {\displaystyle S} is a convex set in the topological vector space X = R n , {\displaystyle X=\mathbb {R}

    Supporting hyperplane

    Supporting hyperplane

    Supporting_hyperplane

  • Hilbert space
  • Type of vector space in math

    things named after David Hilbert Locally convex topological vector space – Space with topology generated by convex sets Operator topologies – Topologies on

    Hilbert space

    Hilbert space

    Hilbert_space

  • Curve of constant width
  • Shape with same width in all directions

    circles centered on a partial curve. Every body of constant width is a convex set, its boundary crossed at most twice by any line, and if the line crosses

    Curve of constant width

    Curve of constant width

    Curve_of_constant_width

  • Relative interior
  • Generalization of topological interior

    general sets. They are equal if both S 1 , S 2 {\displaystyle S_{1},S_{2}} are also convex. If S 1 , S 2 {\displaystyle S_{1},S_{2}} are convex and relatively

    Relative interior

    Relative_interior

  • Asymmetric norm
  • Generalization of the concept of a norm

    Different convex sets yield different seminorms, and every asymmetric seminorm on R n {\displaystyle \mathbb {R} ^{n}} can be obtained from some convex set, called

    Asymmetric norm

    Asymmetric_norm

  • Dvoretzky's theorem
  • approximately Euclidean. Equivalently, every high-dimensional bounded symmetric convex set has low-dimensional sections that are approximately ellipsoids. A new

    Dvoretzky's theorem

    Dvoretzky's_theorem

  • List of types of sets
  • Haar null set Convex set Balanced set, Absolutely convex set Fractal set Recursive set Recursively enumerable set Arithmetical set Diophantine set Hyperarithmetical

    List of types of sets

    List_of_types_of_sets

  • Kakeya set
  • Shape containing unit line segments in all directions

    360°. This question was first posed, for convex regions, by Sōichi Kakeya (1917). The minimum area for convex sets is achieved by an equilateral triangle

    Kakeya set

    Kakeya set

    Kakeya_set

  • Real coordinate space
  • Space formed by the ''n''-tuples of real numbers

    define a convex cone, which contains all non-negative linear combinations of its vectors. Corresponding concept in an affine space is a convex set, which

    Real coordinate space

    Real coordinate space

    Real_coordinate_space

  • Strictly convex space
  • Normed vector space for which the closed unit ball is strictly convex

    strictly convex space is a normed vector space (X, || ||) for which the closed unit ball is a strictly convex set. Put another way, a strictly convex space

    Strictly convex space

    Strictly_convex_space

  • Non-convexity (economics)
  • Violations of the convexity assumptions of elementary economics

    convex preferences (that do not prefer extremes to in-between values) and convex budget sets and on producers with convex production sets; for convex

    Non-convexity (economics)

    Non-convexity_(economics)

  • Krein–Milman theorem
  • On when a space equals the closed convex hull of its extreme points

    compact convex sets in locally convex topological vector spaces (TVSs). Krein–Milman theorem—A compact convex subset of a Hausdorff locally convex topological

    Krein–Milman theorem

    Krein–Milman theorem

    Krein–Milman_theorem

  • Fixed-point theorems in infinite-dimensional spaces
  • Theorems generalizing the Brouwer fixed-point theorem

    fixed-point theorem: Let V be a locally convex topological vector space. For any nonempty compact convex set X in V, any continuous function f : X → X

    Fixed-point theorems in infinite-dimensional spaces

    Fixed-point_theorems_in_infinite-dimensional_spaces

  • Hadwiger conjecture (combinatorial geometry)
  • is: If K is any bounded convex set in the n-dimensional Euclidean space Rn, then there exists a set of 2n scalars si and a set of 2n translation vectors

    Hadwiger conjecture (combinatorial geometry)

    Hadwiger conjecture (combinatorial geometry)

    Hadwiger_conjecture_(combinatorial_geometry)

  • Sublinear function
  • Type of function in linear algebra

    : X → R {\displaystyle p\colon X\to \mathbb {R} } which is subadditive, convex, and satisfies p ( 0 ) ≤ 0 {\displaystyle p(0)\leq 0} is also positively

    Sublinear function

    Sublinear_function

  • Diameter of a set
  • Largest distance between two points

    Euclidean space, the diameter of the object or set is the same as the diameter of its convex hull. For any convex shape in the plane, the diameter is the largest

    Diameter of a set

    Diameter of a set

    Diameter_of_a_set

  • Reuleaux triangle
  • Curved triangle with constant width

    1215/ijm/1256051608, MR 0320885. Hernández Cifre, M. A. (2000), "Is there a planar convex set with given width, diameter, and inradius?", American Mathematical Monthly

    Reuleaux triangle

    Reuleaux triangle

    Reuleaux_triangle

  • Bauer maximum principle
  • Convex continuous functions on compact convex sets maximize at extreme points

    function that is convex and continuous, and defined on a set that is convex and compact, attains its maximum at some extreme point of that set. It is attributed

    Bauer maximum principle

    Bauer_maximum_principle

  • Convexity in economics
  • Significant topic in economics

    the intersection of two convex sets is a convex set. More generally, the intersection of a family of convex sets is a convex set. For every subset Q of

    Convexity in economics

    Convexity_in_economics

  • Discrete fixed-point theorem
  • fixed-point theorems often require a convex set. The analogue of this property for discrete sets is an integrally-convex set. A fixed point of a discrete function

    Discrete fixed-point theorem

    Discrete_fixed-point_theorem

  • Markov–Kakutani fixed-point theorem
  • commuting family of continuous affine self-mappings of a compact convex subset in a locally convex topological vector space has a common fixed point. This theorem

    Markov–Kakutani fixed-point theorem

    Markov–Kakutani_fixed-point_theorem

  • Convex preferences
  • Concept in economics

    preference relation ⪰ {\displaystyle \succeq } on the consumption set X is called convex if whenever x , y , z ∈ X {\displaystyle x,y,z\in X} where y ⪰ x

    Convex preferences

    Convex_preferences

  • Gelfand–Naimark–Segal construction
  • Correspondence in functional analysis

    \{0\}} . Theorem—The set of states of a C ∗ {\displaystyle C^{*}} -algebra A {\displaystyle A} with a unit element is a compact convex set under the weak-

    Gelfand–Naimark–Segal construction

    Gelfand–Naimark–Segal_construction

  • Hilbert cube
  • Type of topological space

    e>0} must go outside the cube in some dimension. The Hilbert cube is a convex set, whose span is dense in the whole space, but whose interior is empty.

    Hilbert cube

    Hilbert cube

    Hilbert_cube

  • Dykstra's projection algorithm
  • Optimization algorithm

    the intersection of convex sets, and is a variant of the alternating projection method (also called the projections onto convex sets method). In its simplest

    Dykstra's projection algorithm

    Dykstra's_projection_algorithm

  • Hyperplane separation theorem
  • On the existence of hyperplanes separating disjoint convex sets

    disjoint convex sets in n-dimensional Euclidean space. There are several rather similar versions. In one version of the theorem, if both these sets are closed

    Hyperplane separation theorem

    Hyperplane separation theorem

    Hyperplane_separation_theorem

  • Linear inequality
  • Inequality which involves a linear function

    inequalities. It is a convex set, since the half-spaces are convex sets, and the intersection of a set of convex sets is also convex. In the non-degenerate

    Linear inequality

    Linear_inequality

  • Convex cap
  • A convex cap is a well defined structure in mathematics commonly used in convex geometry for approximating convex shapes. It is used in the construction

    Convex cap

    Convex_cap

  • Bregman divergence
  • Measure of difference between two points

    \mathbb {R} } be a continuously-differentiable, strictly convex function defined on a convex set Ω {\displaystyle \Omega } . The Bregman distance associated

    Bregman divergence

    Bregman divergence

    Bregman_divergence

  • Danzer set
  • Set of points touching all convex bodies of unit volume

    set of points that touches every convex body of unit volume. Ludwig Danzer asked whether it is possible for such a set to have bounded density. Several

    Danzer set

    Danzer set

    Danzer_set

  • Normal cone (convex analysis)
  • Cone of outward normals to a convex set at a point

    In convex analysis and optimization, the normal cone to a set at a point is a convex cone consisting of vectors that make a non-acute angle with every

    Normal cone (convex analysis)

    Normal_cone_(convex_analysis)

  • Helly's theorem
  • Theorem about the intersections of d-dimensional convex sets

    theorem is a basic result in discrete geometry on the intersection of convex sets. It was discovered by Eduard Helly in 1913, but not published by him

    Helly's theorem

    Helly's theorem

    Helly's_theorem

  • Spectrahedron
  • Shape that can be represented as a linear matrix inequality

    In convex geometry, a spectrahedron is a shape that can be represented as a linear matrix inequality. Alternatively, the set of n × n positive semidefinite

    Spectrahedron

    Spectrahedron

    Spectrahedron

  • Shapley–Folkman lemma
  • Sums of sets of vectors are nearly convex

    The Shapley–Folkman lemma is a result in convex geometry that describes the Minkowski addition of sets in a vector space. The lemma may be intuitively

    Shapley–Folkman lemma

    Shapley–Folkman lemma

    Shapley–Folkman_lemma

  • Logarithmically concave function
  • Type of mathematical function

    In convex analysis, a non-negative function f : Rn → R+ is logarithmically concave (or log-concave for short) if its domain is a convex set, and if it

    Logarithmically concave function

    Logarithmically_concave_function

  • Geodesic convexity
  • be a Riemannian manifold. A subset C of M is said to be a geodesically convex set if, given any two points in C, there is a unique minimizing geodesic contained

    Geodesic convexity

    Geodesic_convexity

  • Gamut
  • Color reproduction capability

    reproduction and colorimetry, a gamut, or color gamut /ˈɡæmət/, is a convex set containing the colors that can be accurately represented, i.e. reproduced

    Gamut

    Gamut

    Gamut

  • Ellipsoid method
  • Iterative method for minimizing convex functions

    the ellipsoid method is an iterative method for minimizing convex functions over convex sets. The ellipsoid method generates a sequence of ellipsoids whose

    Ellipsoid method

    Ellipsoid method

    Ellipsoid_method

  • Self-concordant function
  • self-concordant function, that is also a barrier function for a particular convex set. Self-concordant barriers are important ingredients in interior point

    Self-concordant function

    Self-concordant_function

  • Convex conjugate
  • Generalization of the Legendre transformation

    mathematical optimization, the convex conjugate of a function is a generalization of the Legendre transformation which applies to non-convex functions. It is also

    Convex conjugate

    Convex_conjugate

  • Hilbert metric
  • Distance function

    distance in the Cayley–Klein model of hyperbolic geometry, where the convex set is the n-dimensional open unit ball. Hilbert's metric has been applied

    Hilbert metric

    Hilbert_metric

AI & ChatGPT searchs for online references containing CONVEX SET

CONVEX SET

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CONVEX SET

  • Conner
  • Boy/Male

    Irish American

    Conner

    Hound lover. Full of desire; much desire.

    Conner

  • Cove
  • Surname or Lastname

    English

    Cove

    English : habitational name from a place named Cove, examples of which are found in Devon, Hampshire, and Suffolk, from Old English cofa ‘cove’, ‘bay’, ‘inlet’, also ‘shelter’, ‘hut’, or a topographic name with the same meaning.

    Cove

  • Tranter
  • Boy/Male

    British, Christian, English

    Tranter

    Wagoner; To Convey

    Tranter

  • Conyer
  • Surname or Lastname

    English

    Conyer

    English : metathesized form of the occupational name Coyner.English : possibly an occupational name for a dealer in rabbits or rabbit skins, from an agent derivative of Middle English cony ‘rabbit’ (see Coney).

    Conyer

  • Calvex
  • Boy/Male

    American, British, English

    Calvex

    Shepherd

    Calvex

  • Conde
  • Surname or Lastname

    Spanish and Portuguese

    Conde

    Spanish and Portuguese : nickname from the title of rank conde ‘count’, a derivative of Latin comes, comitis ‘companion’.English : unexplained.

    Conde

  • Conlen
  • Boy/Male

    Irish

    Conlen

    Hero.

    Conlen

  • Conner
  • Surname or Lastname

    Irish

    Conner

    Irish : variant spelling of Connor, now common in Scotland.English : occupational name for an inspector of weights and measures, Middle English connere, cunnere ‘inspector’, an agent derivative of cun(nen) ‘to examine’.

    Conner

  • CONLEY
  • Male

    English

    CONLEY

    Anglicized form of Irish Gaelic Conláed, CONLEY means "purifying fire."

    CONLEY

  • Ponvel
  • Boy/Male

    Indian, Kannada, Tamil

    Ponvel

    God Murugan

    Ponvel

  • Conley
  • Boy/Male

    Irish American

    Conley

    Strong willed or wise. Also a : Hero.

    Conley

  • CONNER
  • Male

    English

    CONNER

    Variant spelling of English Connor, CONNER means "hound-lover."

    CONNER

  • Colver
  • Surname or Lastname

    English (Leicestershire)

    Colver

    English (Leicestershire) : variant of Culver.

    Colver

  • Colver
  • Boy/Male

    American, British, English

    Colver

    Dove

    Colver

  • Coney
  • Surname or Lastname

    English

    Coney

    English : from Middle English cony ‘rabbit’ (a back-formation from conies, from Old French conis, plural of conil), a nickname for someone thought to resemble a rabbit in some way or a metonymic occupational name for a dealer in rabbits or rabbit skins.

    Coney

  • Coven
  • Surname or Lastname

    English

    Coven

    English : from Old French covine ‘fraud’, ‘deceit’, hence a derogatory nickname for a trickster.English : habitational name from a place in Staffordshire named Coven ‘(place) at the huts or shelters (Old English cofa, dative plural cofum)’.

    Coven

  • Conner
  • Boy/Male

    American, Christian, German, Indian

    Conner

    High Desire

    Conner

  • Conger
  • Surname or Lastname

    English

    Conger

    English : unexplained.

    Conger

  • Covey
  • Boy/Male

    Irish

    Covey

    Hound of the plains.

    Covey

  • Conte
  • Surname or Lastname

    Italian

    Conte

    Italian : from the title of rank conte ‘count’ (from Latin comes, genitive comitis ‘companion’). Probably in this sense (and the Late Latin sense of ‘traveling companion’), it was a medieval personal name; as a title it was no doubt applied ironically as a nickname for someone with airs and graces or simply for someone who worked in the service of a count.English : variant of Count, cognate with 1.French : nickname for someone in the service of a count or for someone who behaved pretentiously, from Old French conte, cunte ‘count’ (of the same derivation as 1).French (Conté) : variant of Comté (see Comte).

    Conte

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CONVEX SET

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CONVEX SET

Online names & meanings

  • Jaiden | ஜைதேந 
  • Boy/Male

    Tamil

    Jaiden | ஜைதேந 

    Variant of Jaydev (God has heard

  • Dominy
  • Surname or Lastname

    English

    Dominy

    English : variant of Dominey.

  • Nanjappa
  • Boy/Male

    German

    Nanjappa

    The Brother Names

  • MAHALI
  • Male

    English

    MAHALI

    Anglicized form of Hebrew Machliy, MAHALI means "sick." In the bible, this is the name of a son of Merari. Also spelled Mahli.

  • LONGWEI
  • Male

    Chinese

    LONGWEI

    dragon greatness.

  • KANI
  • Female

    Hawaiian

    KANI

    Hawaiian name KANI means "sound."

  • Sojalaa
  • Girl/Female

    Indian, Punjabi, Sikh

    Sojalaa

    Dawn

  • Sabria
  • Girl/Female

    Indian

    Sabria

    Lord rams devotees, Daughter of cyprus (Daughter of cyprus)

  • Ili
  • Girl/Female

    Australian, Greek

    Ili

    Birth Mark; Blemish

  • Laghuvi | லகுவீ
  • Girl/Female

    Tamil

    Laghuvi | லகுவீ

    Tender

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CONVEX SET

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CONVEX SET

AI searchs for Acronyms & meanings containing CONVEX SET

CONVEX SET

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Other words and meanings similar to

CONVEX SET

AI search in online dictionary sources & meanings containing CONVEX SET

CONVEX SET

  • Biconvex
  • a.

    Convex on both sides; as, a biconvex lens.

  • Coved
  • imp. & p. p.

    of Cove

  • Convey
  • v. t.

    To impart or communicate; as, to convey an impression; to convey information.

  • Convexedly
  • dv.

    In a convex form; convexly.

  • Congee
  • n. & v.

    See Conge, Conge.

  • Contex
  • v. t.

    To context.

  • Convexo-convex
  • a.

    Convex on both sides; double convex. See under Convex, a.

  • Convert
  • v. t.

    To exchange for some specified equivalent; as, to convert goods into money.

  • Convey
  • v. t.

    To cause to pass from one place or person to another; to serve as a medium in carrying (anything) from one place or person to another; to transmit; as, air conveys sound; words convey ideas.

  • Plano-convex
  • a.

    Plane or flat on one side, and convex on the other; as, a plano-convex lens. See Convex, and Lens.

  • Concavo-convex
  • a.

    Specifically, having such a combination of concave and convex sides as makes the focal axis the shortest line between them. See Illust. under Lens.

  • Convexly
  • adv.

    In a convex form; as, a body convexly shaped.

  • Convexo-concave
  • a.

    Convex on one side, and concave on the other. The curves of the convex and concave sides may be alike or may be different. See Meniscus.

  • Convexed
  • a.

    Made convex; protuberant in a spherical form.

  • Conger
  • n.

    The conger eel; -- called also congeree.

  • Convex
  • n.

    A convex body or surface.

  • Convexo-plane
  • a.

    Convex on one side, and flat on the other; plano-convex.

  • Convent
  • v. t.

    To call before a judge or judicature; to summon; to convene.

  • Convey
  • v. t.

    To accompany; to convoy.

  • Concavo-convex
  • a.

    Concave on one side and convex on the other, as an eggshell or a crescent.