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POINT PROCESSES

  • Point process
  • Random set of points on a space with random number and random position

    stochastic processes such as renewal and counting processes are studied in the theory of point processes. Sometimes the term "point process" is not preferred

    Point process

    Point_process

  • Poisson point process
  • Type of random mathematical object

    repeated operations on point processes can, under certain conditions, result in the process converging to a Poisson point processes, provided a suitable

    Poisson point process

    Poisson point process

    Poisson_point_process

  • Point Processes
  • 1980 mathematics book by Cox and Isham

    material on standard processes: Poisson point processes, renewal processes, self-exciting processes, and doubly stochastic processes. The second chapter

    Point Processes

    Point_Processes

  • Determinantal point process
  • Stochastic point process in mathematics

    In mathematics, a determinantal point process is a stochastic point process, the probability distribution of which is characterized as a determinant of

    Determinantal point process

    Determinantal_point_process

  • Floating-point unit
  • Part of a computer system

    A floating-point unit (FPU), numeric processing unit (NPU), colloquially math coprocessor, is a part of a computer system specially designed to carry out

    Floating-point unit

    Floating-point unit

    Floating-point_unit

  • Point process notation
  • Mathematical notation used in probability and statistics

    statistics, point process notation comprises the range of mathematical notation used to symbolically represent random objects known as point processes, which

    Point process notation

    Point_process_notation

  • Simple point process
  • the point x {\displaystyle x} . Simple point processes include many important classes of point processes such as Poisson processes, Cox processes and

    Simple point process

    Simple_point_process

  • Campbell's theorem (probability)
  • Theorem In probability theory and statistics

    homogeneous Poisson point processes, which is an example of a stationary stochastic process. Campbell's theorem for general point processes gives a method

    Campbell's theorem (probability)

    Campbell's_theorem_(probability)

  • Stochastic process
  • Collection of random variables

    motion process and the Poisson process. Some families of stochastic processes such as point processes or renewal processes have long and complex histories

    Stochastic process

    Stochastic process

    Stochastic_process

  • Process
  • Series of activities

    Process architecture, structural design of processes, applies to fields such as computers, business processes, logistics, project management Process area

    Process

    Process

  • Nearest neighbour distribution
  • telecommunications. Point processes are mathematical objects that are defined on some underlying mathematical space. Since these processes are often used to

    Nearest neighbour distribution

    Nearest_neighbour_distribution

  • Point process operation
  • Function that transforms a point process

    relation to other points of the point process. Thinning can be used to create new point processes such as hard-core processes where points do not exist (due

    Point process operation

    Point_process_operation

  • Hawkes process
  • Self-exciting counting process

    considered mutually exciting processes which are now called multivariate Hawkes processes. The n {\textstyle n} point processes have arrival times denoted

    Hawkes process

    Hawkes_process

  • Mapping theorem (point process)
  • theorem in the theory of point processes, a sub-discipline of probability theory. It describes how a Poisson point process is altered under measurable

    Mapping theorem (point process)

    Mapping_theorem_(point_process)

  • Spatial statistics
  • Field of applied statistics

    stochastic processes (random fields, point processes), sampling, smoothing and interpolation, regional (areal unit) and lattice (gridded) data, point patterns

    Spatial statistics

    Spatial_statistics

  • Moment measure
  • defined in relation to mathematical objects known as point processes, which are types of stochastic processes often used as mathematical models of physical phenomena

    Moment measure

    Moment_measure

  • Factorial moment measure
  • defined in relation to mathematical objects known as point processes, which are types of stochastic processes often used as mathematical models of physical phenomena

    Factorial moment measure

    Factorial_moment_measure

  • Exponential distribution
  • Probability distribution

    memoryless. In addition to being used for the analysis of Poisson point processes it is found in various other contexts. The exponential distribution

    Exponential distribution

    Exponential distribution

    Exponential_distribution

  • Markov chain
  • Random process independent of past history

    Andrey Markov studied Markov processes in the early 20th century, publishing his first paper on the topic in 1906. Markov processes in continuous time were

    Markov chain

    Markov chain

    Markov_chain

  • Laplace functional
  • Theory of Point Processes: Volume I: Elementary Theory and Methods, Springer, New York, second edition, 2003. Kingman, John (1993). Poisson Processes. Oxford

    Laplace functional

    Laplace_functional

  • Random measure
  • Stochastic way of assigning quantities across a space

    the theory of random processes, where they form many important point processes such as Poisson point processes and Cox processes. Random measures can

    Random measure

    Random_measure

  • Renewal theory
  • Branch of probability theory

    function. The superposition of renewal processes can be studied as a special case of Markov renewal processes. Applications include calculating the best

    Renewal theory

    Renewal_theory

  • Stochastic geometry
  • Study of random spatial patterns

    There are various models for point processes, typically based on but going beyond the classic homogeneous Poisson point process (the basic model for complete

    Stochastic geometry

    Stochastic geometry

    Stochastic_geometry

  • Cox process
  • Poisson point process

    itself a stochastic process. The process is named after the statistician David Cox, who first published the model in 1955. Cox processes are used to generate

    Cox process

    Cox_process

  • Zen 5
  • 2024 AMD 4-nanometer processor microarchitecture

    increased floating-point throughput, and more-accurate branch prediction. Zen 5 was designed with both 4 nm and 3 nm processes in mind. This acted as

    Zen 5

    Zen 5

    Zen_5

  • Block floating point
  • Method in computer arithmetic

    Block floating point (BFP) is a method used to provide an arithmetic approaching floating point while using a fixed-point processor. BFP assigns a group

    Block floating point

    Block_floating_point

  • Shot noise
  • Type of electronic noise

    and hitting a wall to create a visible spot. The fundamental physical processes that govern light emission are such that these photons are emitted from

    Shot noise

    Shot noise

    Shot_noise

  • Nu-transform
  • theory of stochastic processes, a ν-transform is an operation that transforms a measure or a point process into a different point process. Intuitively the

    Nu-transform

    Nu-transform

  • Spherical contact distribution function
  • defined in relation to mathematical objects known as point processes, which are types of stochastic processes often used as mathematical models of physical phenomena

    Spherical contact distribution function

    Spherical_contact_distribution_function

  • Lévy process
  • Stochastic process in probability theory

    deterministic) Lévy processes have discontinuous paths[citation needed]. All Lévy processes are additive processes. A Lévy process is a stochastic process X = { X

    Lévy process

    Lévy_process

  • Mixed Poisson process
  • Poisson process is a special point process that is a generalization of a Poisson process. Mixed Poisson processes are simple example for Cox processes. Let

    Mixed Poisson process

    Mixed_Poisson_process

  • Neuron (software)
  • Simulation software for modeling neurons

    cells essentially function as point processes, implemented into the network. Artificial cells require only a point process, with defined parameters. The

    Neuron (software)

    Neuron_(software)

  • Generalized renewal process
  • theory of probability, a generalized renewal process (GRP) or G-renewal process is a stochastic point process used to model failure/repair behavior of repairable

    Generalized renewal process

    Generalized_renewal_process

  • Poisson distribution
  • Discrete probability distribution

    splitting). More examples of counting events that may be modelled as Poisson processes include: soldiers killed by horse-kicks each year in each corps in the

    Poisson distribution

    Poisson distribution

    Poisson_distribution

  • Forming processes
  • Type of manufacturing process

    Forming processes are particular manufacturing processes which make use of suitable stresses (like compression, tension, shear or combined stresses) which

    Forming processes

    Forming_processes

  • Business Process Model and Notation
  • Graphical representation for specifying business processes

    Business Process Model and Notation (BPMN) is a graphical representation for specifying business processes in a business process model. Originally developed

    Business Process Model and Notation

    Business Process Model and Notation

    Business_Process_Model_and_Notation

  • Floating point operations per second
  • Measure of computer performance

    Floating point operations per second (FLOPS, flops or flop/s) is a measure of computer performance or compute in computing, useful in fields of scientific

    Floating point operations per second

    Floating_point_operations_per_second

  • Independent increments
  • stochastic processes that by definition possess independent increments are the Wiener process, all Lévy processes, all additive process and the Poisson point process

    Independent increments

    Independent_increments

  • Geometric process
  • a_{1}=b_{1}=1} . We call the stochastic process the double-ratio geometric process (DRGP). Lam, Y. (1988). Geometric processes and replacement problem. Acta Mathematicae

    Geometric process

    Geometric_process

  • Airy process
  • The Airy processes are a family of stationary stochastic processes that appear as limit processes in the theory of random growth models and random matrix

    Airy process

    Airy_process

  • Gibbs sampling
  • Monte Carlo algorithm

    incarnation, is a special case of the Metropolis–Hastings algorithm. The point of Gibbs sampling is that given a multivariate distribution it is simpler

    Gibbs sampling

    Gibbs_sampling

  • Radioactive decay
  • Emissions from unstable atomic nuclei

    particle reactions are two examples of such aggregate processes. The mathematics of Poisson processes reduce to the law of exponential decay, which describes

    Radioactive decay

    Radioactive decay

    Radioactive_decay

  • Birth process
  • Type of continuous process in probability theory

    studied the processes, so they may be known as Yule processes. The number of births in time t {\displaystyle t} from a simple birth process of population

    Birth process

    Birth process

    Birth_process

  • Point pattern analysis
  • or the result of some process. The picture illustrates patterns of 256 points using four point processes. The clustered process results in all points

    Point pattern analysis

    Point_pattern_analysis

  • Point (geometry)
  • Fundamental object of geometry

    (geometry) Point at infinity Point cloud Point process Point set registration Pointwise Singular point of a curve Whitehead point-free geometry Ohmer (1969)

    Point (geometry)

    Point (geometry)

    Point_(geometry)

  • John Urschel
  • Canadian mathematician and gridiron football player (born 1991)

    Victor-Emmanuel Brunel, Ankur Moitra, Phillipe Rigollet. "Learning Determinantal Point Processes with Moments and Cycles", International Conference on Machine Learning

    John Urschel

    John Urschel

    John_Urschel

  • Binomial process
  • are mixed binomial processes. In these point processes, the number of points is not deterministic like it is with binomial processes, but is determined

    Binomial process

    Binomial_process

  • The Process
  • Topics referred to by the same term

    Process may refer to: The Process (novel), by Brion Gysin The Process (Skinny Puppy album), a 1996 album by industrial band Skinny Puppy The Process,

    The Process

    The_Process

  • Mixed binomial process
  • mixed binomial process is a special point process in probability theory. They naturally arise from restrictions of (mixed) Poisson processes bounded intervals

    Mixed binomial process

    Mixed_binomial_process

  • Processor
  • Topics referred to by the same term

    word processor—but emphasizes the visual layout of the document's components Data processing system, a combination of machines, people, and processes that

    Processor

    Processor

  • Jorge Mateu
  • Spanish statistician (born 1969)

    science, geostatistics, and stochastic processes, with a particular emphasis on spatio-temporal point processes. He led the 'Mathematical-statistical modelling

    Jorge Mateu

    Jorge Mateu

    Jorge_Mateu

  • Aeolian processes
  • Processes due to wind activity

    name of the Greek god Aeolus, the keeper of the winds. Aeolian processes are those processes of erosion, transport, and deposition of sediments that are

    Aeolian processes

    Aeolian processes

    Aeolian_processes

  • Fault tree analysis
  • Failure analysis system used in safety engineering and reliability engineering

    Poisson point processes. The output of an AND gate is calculated using the unavailability (Q1) of one event thinning the Poisson point process of the other

    Fault tree analysis

    Fault tree analysis

    Fault_tree_analysis

  • Wiener process
  • Stochastic process generalizing Brownian motion

    continuous-time stochastic process named after Norbert Wiener. It is one of the best known Lévy processes (càdlàg stochastic processes with stationary independent

    Wiener process

    Wiener process

    Wiener_process

  • Valerie Isham
  • British mathematician

    Isham's research interests in include point processes, spatial processes, spatio-temporal processes and population processes. Isham went to Imperial College

    Valerie Isham

    Valerie_Isham

  • List of stochastic processes topics
  • processes Basic affine jump diffusion Bernoulli process: discrete-time processes with two possible states. Bernoulli schemes: discrete-time processes

    List of stochastic processes topics

    List_of_stochastic_processes_topics

  • Fixed-point arithmetic
  • Computer format for representing real numbers

    overflow; To reduce the cost of hardware that processes fixed-point data. To convert a number from a fixed point type with scaling factor R to another type

    Fixed-point arithmetic

    Fixed-point_arithmetic

  • Dynamic contagion process
  • Concept in mathematics

    probability, a dynamic contagion process is a point process with stochastic intensity that generalises the Hawkes process and Cox process with exponentially decaying

    Dynamic contagion process

    Dynamic_contagion_process

  • Complete spatial randomness
  • Complete spatial randomness (CSR) describes a point process whereby point events occur within a given study area in a completely random fashion. It is

    Complete spatial randomness

    Complete_spatial_randomness

  • Compound Poisson process
  • Random process in probability theory

    moment generating function of a compound Poisson process Ross, Sheldon M. (1996). Stochastic processes. Wiley series in probability and statistics (2nd ed

    Compound Poisson process

    Compound_Poisson_process

  • Processor register
  • Quickly accessible working storage available as part of a digital processor

    so that the GPRs can store floating-point numbers as well. Floating-point registers (FPRs) store floating-point numbers in many architectures. Constant

    Processor register

    Processor_register

  • Boiling point
  • Characteristic temperature for a substance

    The boiling point of a substance is the temperature at which the vapor pressure of a liquid equals the pressure surrounding the liquid and the liquid

    Boiling point

    Boiling point

    Boiling_point

  • François Baccelli
  • French academic (born 1954)

    framework for queuing networks represents such networks as functionals of point processes on the real line. This led to mathematical tools which are now commonly

    François Baccelli

    François_Baccelli

  • Stochastic geometry models of wireless networks
  • the process. On the other hand, soft-core processes have point repulsion that ranges somewhere between the hard-core processes and Poisson processes (which

    Stochastic geometry models of wireless networks

    Stochastic_geometry_models_of_wireless_networks

  • X87
  • Subset of x86 instruction set architecture for floating-point arithmetic

    x87 is a floating-point-related subset of the x86 architecture instruction set. It originated as an extension of the 8086 instruction set in the form

    X87

    X87

  • Lisa Goldberg
  • Mathematical finance scholar and statistician

    collaboration with Kay Giesecke, she developed a top down methodology based on point processes that is used to assess complex credit derivatives. Beginning in 2006

    Lisa Goldberg

    Lisa_Goldberg

  • Synchronization (computer science)
  • Concept in computer science, referring to processes, or data

    synchronization is the task of coordinating multiple processes to join up or handshake at a certain point, in order to reach an agreement or commit to a certain

    Synchronization (computer science)

    Synchronization_(computer_science)

  • SharePoint
  • Web platform part of Microsoft 365

    information management, and process requirements in organizations. SharePoint also provides search and "graph" functionality. SharePoint allows collaborative

    SharePoint

    SharePoint

    SharePoint

  • Neyman–Scott process
  • Model describing formation of point patterns

    The Neyman–Scott process is a stochastic model used to describe the formation of clustered point patterns. Originally developed for modeling galaxy distributions

    Neyman–Scott process

    Neyman–Scott_process

  • Gaussian process
  • Statistical model

    distribution). Gaussian processes can be seen as an infinite-dimensional generalization of multivariate normal distributions. Gaussian processes are useful in statistical

    Gaussian process

    Gaussian_process

  • Adrian Baddeley
  • Australian statistician (born 1955)

    inhomogeneous point patterns, Statistica Neerlandica 54: 329-350, 2000. A.J. Baddeley and J. Møller, Nearest-neighbour Markov point processes and random

    Adrian Baddeley

    Adrian_Baddeley

  • Process state
  • Computer science concept

    may be many "ready" processes at any one point of the system's execution—for example, in a one-processor system, only one process can be executing at

    Process state

    Process state

    Process_state

  • Palm–Khintchine theorem
  • Theorem in probability theory

    be independent renewal processes and { N ( t ) , t > 0 } {\displaystyle \{N(t),t>0\}} be the superposition of these processes. Denote by X j m {\displaystyle

    Palm–Khintchine theorem

    Palm–Khintchine_theorem

  • Jesper Møller (mathematician)
  • Danish mathematician (born 1957)

    point processes. Scandinavian Journal of Statistics, 21:359–373. J. Møller, A.R. Syversveen and R.P. Waagepetersen (1998). Log Gaussian Cox processes

    Jesper Møller (mathematician)

    Jesper Møller (mathematician)

    Jesper_Møller_(mathematician)

  • Dietrich Stoyan
  • Statistical methods for point processes, random sets and many other random geometrical structures such as fibre processes. Results can be found in the

    Dietrich Stoyan

    Dietrich Stoyan

    Dietrich_Stoyan

  • Point-set registration
  • Process of finding a spatial transformation that aligns two point clouds

    recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial transformation

    Point-set registration

    Point-set registration

    Point-set_registration

  • Dependent Dirichlet process
  • Construction of dependent Dirichlet processes based on compound Poisson processes, Neural Information Processing Systems (NIPS), 2010. T. Campbell, M

    Dependent Dirichlet process

    Dependent_Dirichlet_process

  • Markovian arrival process
  • Mathematical model in queueing theory

    Poisson process or MMPP where m Poisson processes are switched between by an underlying continuous-time Markov chain. If each of the m Poisson processes has

    Markovian arrival process

    Markovian_arrival_process

  • Scalar processor
  • Class of computer processors

    Scalar processors are a class of computer processors that process only one data item at a time. Typical data items include integers and floating point numbers

    Scalar processor

    Scalar_processor

  • Point cloud
  • Set of data points in three-dimensional space

    external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D computer-aided

    Point cloud

    Point cloud

    Point_cloud

  • Eliane R. Rodrigues
  • Brazilian-Mexican applied mathematician and statistician

    (UNAM). Her research involves using stochastic processes including Markov chains and Poisson point processes to model phenomena such as air pollution, noise

    Eliane R. Rodrigues

    Eliane_R._Rodrigues

  • Residual time
  • In the theory of renewal processes, a part of the mathematical theory of probability, the residual time or the forward recurrence time is the time between

    Residual time

    Residual_time

  • Diffusion process
  • Solution to a stochastic differential equation

    motion, reflected Brownian motion and Ornstein–Uhlenbeck processes are examples of diffusion processes. It is used heavily in statistical physics, statistical

    Diffusion process

    Diffusion_process

  • Markov decision process
  • Mathematical model for sequential decision making under uncertainty

    discrete-time Markov decision processes, continuous-time Markov decision processes can better model the decision-making process for a system that has continuous

    Markov decision process

    Markov_decision_process

  • Granger causality
  • Statistical hypothesis test for forecasting

    neural-spike trains. Neural spike train data can be modeled as a point-process. A temporal point process is a stochastic time-series of binary events that occurs

    Granger causality

    Granger causality

    Granger_causality

  • Dew point
  • Temperature below which condensation occurs

    The dew point is the temperature that air, of a constant absolute humidity and pressure, must be cooled to in order for the relative humidity to rise

    Dew point

    Dew point

    Dew_point

  • Pitman–Yor process
  • M.; Pitman, J.; Yor, M. (1992). "Size-biased sampling of Poisson point processes and excursions". Probability Theory and Related Fields. 92: 21–39.

    Pitman–Yor process

    Pitman–Yor_process

  • Branching process
  • Kind of stochastic process

    Branching processes can also be used to model other systems with similar dynamics, e.g., the spread of surnames in genealogy (Galton-Watson processes) or the

    Branching process

    Branching_process

  • Umklapp scattering
  • Scattering process outside crystals' first Brillouin zone

    mathematically transformed to a point inside the first Brillouin zone. This transformation allows for scattering processes which would otherwise violate

    Umklapp scattering

    Umklapp scattering

    Umklapp_scattering

  • X86
  • Family of instruction set architectures

    source. Early x86 processors could be extended with floating-point hardware in the form of a series of floating-point numerical co-processors with names like

    X86

    X86

  • Coprocessor
  • Type of computer processor

    computer processor used to supplement the functions of the primary processor (the CPU). Operations performed by the coprocessor may be floating-point arithmetic

    Coprocessor

    Coprocessor

    Coprocessor

  • Central processing unit
  • Central computer component that executes instructions

    A central processing unit (CPU), also known as a central processor, main processor, or simply processor, is the primary processor in a given computer

    Central processing unit

    Central processing unit

    Central_processing_unit

  • Cohort model
  • Model of lexical retrieval

    selection or recognition and competition. These processes continue until an instant, called the recognition point, at which only one word remains activated

    Cohort model

    Cohort_model

  • Spatial descriptive statistics
  • Methods used in statistics

    JSTOR 1931034. Ripley, B.D. (1976). "The second-order analysis of stationary point processes". Journal of Applied Probability. 13 (2): 255–266. doi:10.2307/3212829

    Spatial descriptive statistics

    Spatial_descriptive_statistics

  • Process engineering
  • Study of making products from raw materials

    exact nature of the system, processes need to be simulated and modeled using mathematics and computer science. Processes where phase change and phase

    Process engineering

    Process engineering

    Process_engineering

  • Processing
  • Free graphics library

    Tayste. "Hello Mouse - OpenProcessing". OpenProcessing.org. Retrieved 3 March 2022. Meredith Hoy (3 January 2017). From Point to Pixel: A Genealogy of Digital

    Processing

    Processing

  • Endianness
  • Order of bytes in a computer word

    between floating-point and integer values in the optional floating-point processor of the PDP-11/45, PDP-11/70, and in some later processors, stored 32-bit

    Endianness

    Endianness

    Endianness

  • Process simulation
  • Model-based representation of processes

    chemical processes, environmental systems, power stations, complex manufacturing operations, biological processes, and similar technical functions. Process simulation

    Process simulation

    Process simulation

    Process_simulation

  • Korn–Kreer–Lenssen model
  • arbitrage free pricing is based on martingale representations for point processes pioneered in the 1980s and 1990 by Albert Shiryaev, Robert Liptser

    Korn–Kreer–Lenssen model

    Korn–Kreer–Lenssen_model

  • Autoregressive model
  • Representation of a type of random process

    a modelled representation of a type of random process. It can be used to describe time-varying processes from many natural and artificial sources. The

    Autoregressive model

    Autoregressive_model

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Online names & meanings

  • Coulston
  • Surname or Lastname

    English

    Coulston

    English : variant spelling of Colston.

  • Searson
  • Surname or Lastname

    English

    Searson

    English : patronymic from a Middle English personal name, Saher or Seir (see Sayer 1).

  • HARDING
  • Male

    English

    HARDING

    English surname transferred to forename use, from a form of the Old English surname Hearding, from heard, HARDING means "brave, hardy, strong."

  • Athan
  • Boy/Male

    Australian, Greek

    Athan

    Immortal

  • Kifsa
  • Girl/Female

    Indian

    Kifsa

    Young Lioness

  • Bedeiah
  • Boy/Male

    Biblical

    Bedeiah

    The only Lord.

  • Torley
  • Boy/Male

    American, British, English

    Torley

    From Thor's Meadow

  • Mariraj | மாரீராஜ 
  • Boy/Male

    Tamil

    Mariraj | மாரீராஜ 

    A world king

  • Alice
  • Girl/Female

    Celtic American English French German Shakespearean Teutonic

    Alice

    noble.

  • Sanovar
  • Boy/Male

    Arabic, Indian

    Sanovar

    A Tree of Heaven

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Other words and meanings similar to

POINT PROCESSES

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POINT PROCESSES

  • Point-blank
  • adv.

    In a point-blank manner.

  • Point
  • n.

    The attitude assumed by a pointer dog when he finds game; as, the dog came to a point. See Pointer.

  • Point
  • v. i.

    To direct the point of something, as of a finger, for the purpose of designating an object, and attracting attention to it; -- with at.

  • Point
  • n.

    To give a point to; to sharpen; to cut, forge, grind, or file to an acute end; as, to point a dart, or a pencil. Used also figuratively; as, to point a moral.

  • Point
  • n.

    A fixed conventional place for reference, or zero of reckoning, in the heavens, usually the intersection of two or more great circles of the sphere, and named specifically in each case according to the position intended; as, the equinoctial points; the solstitial points; the nodal points; vertical points, etc. See Equinoctial Nodal.

  • Point-device
  • a.

    Alt. of Point-devise

  • Paint
  • v. t.

    To cover with coloring matter; to apply paint to; as, to paint a house, a signboard, etc.

  • Print
  • n.

    Printed letters; the impression taken from type, as to excellence, form, size, etc.; as, small print; large print; this line is in print.

  • Point
  • n.

    A movement executed with the saber or foil; as, tierce point.

  • Joint
  • a.

    Shared by, or affecting two or more; held in common; as, joint property; a joint bond.

  • Point
  • n.

    A short piece of cordage used in reefing sails. See Reef point, under Reef.

  • Point
  • n.

    Lace wrought the needle; as, point de Venise; Brussels point. See Point lace, below.

  • Joint
  • a.

    Joined; united; combined; concerted; as joint action.

  • Point-device
  • adv.

    Alt. of Point-devise

  • Point
  • n.

    Whatever serves to mark progress, rank, or relative position, or to indicate a transition from one state or position to another, degree; step; stage; hence, position or condition attained; as, a point of elevation, or of depression; the stock fell off five points; he won by tenpoints.

  • Print
  • n.

    A core print. See under Core.

  • Point
  • n.

    To mark (as Hebrew) with vowel points.

  • Point
  • n.

    One of the points of the compass (see Points of the compass, below); also, the difference between two points of the compass; as, to fall off a point.

  • Point
  • n.

    To supply with punctuation marks; to punctuate; as, to point a composition.

  • Point
  • n.

    To direct toward an abject; to aim; as, to point a gun at a wolf, or a cannon at a fort.