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APPROXIMATE COMPUTING

  • Approximate computing
  • Computation of nearly accurate results

    Approximate computing is an emerging paradigm for energy-efficient and/or high-performance design. It includes a plethora of computation techniques that

    Approximate computing

    Approximate_computing

  • Approximation
  • Something roughly the same as something else

    algorithm – Class of algorithms that find approximate solutions to optimization problems Approximate computing – Computation of nearly accurate results

    Approximation

    Approximation

  • Approximate string matching
  • Finding strings that approximately match a pattern

    P.) Computing E(m, j) is very similar to computing the edit distance between two strings. In fact, we can use the Levenshtein distance computing algorithm

    Approximate string matching

    Approximate string matching

    Approximate_string_matching

  • Fast inverse square root
  • Root-finding algorithm

    Muller, Jean-Michel (December 2020). "Elementary Functions and Approximate Computing". Proceedings of the IEEE. 108 (12): 2146. doi:10.1109/JPROC.2020

    Fast inverse square root

    Fast inverse square root

    Fast_inverse_square_root

  • Machine learning
  • Subset of artificial intelligence

    achieved through various techniques, such as hardware acceleration, approximate computing, and model optimization. Common optimization techniques include

    Machine learning

    Machine_learning

  • Cloud computing
  • Form of shared internet-based computing

    concert to perform very large tasks. Fog computing – Distributed computing paradigm that provides data, compute, storage and application services closer

    Cloud computing

    Cloud computing

    Cloud_computing

  • Quantum computing
  • Computer hardware technology that uses quantum mechanics

    information in quantum computing, the qubit (or "quantum bit"), serves the same function as the bit in ordinary or "classical" computing. However, unlike a

    Quantum computing

    Quantum computing

    Quantum_computing

  • Universal approximation theorem
  • Property of artificial neural networks

    state that neural networks with a certain structure can, in principle, approximate any continuous function to any desired degree of accuracy. These theorems

    Universal approximation theorem

    Universal_approximation_theorem

  • Soft computing
  • Types of approximate algorithm

    Soft computing is an umbrella term used to describe types of algorithms that produce approximate solutions to unsolvable high-level problems in computer

    Soft computing

    Soft computing

    Soft_computing

  • NP-hardness
  • Complexity class

    are often tackled with rules-based languages in areas including: Approximate computing Configuration Cryptography Data mining Decision support Phylogenetics

    NP-hardness

    NP-hardness

    NP-hardness

  • Vikram Adve
  • Indian academic

    interests include compilers and programming languages, and edge computing, approximate computing, software security, system reliability, and parallel programming

    Vikram Adve

    Vikram_Adve

  • Noisy intermediate-scale quantum computing
  • Experimental technology level

    of the quantum computing implementation levels. In October 2023, the 1,000 qubit mark was passed for the first time by Atom Computing's 1,180 qubit quantum

    Noisy intermediate-scale quantum computing

    Noisy_intermediate-scale_quantum_computing

  • Analog computer
  • Computation machine that uses continuously varying data technology

    and synthetic-aperture radar, remained the domain of analog computing (and hybrid computing) well into the 1980s, since digital computers were insufficient

    Analog computer

    Analog computer

    Analog_computer

  • Sherief Reda
  • American computer scientist and professor

    contributions to energy-efficient and approximate computing. Reda’s research spans energy-efficient computing, approximate computing methodologies, embedded systems

    Sherief Reda

    Sherief_Reda

  • Precision (computer science)
  • Measure of detail a quantity is expressed in

    computations are made using the data (although it can also be reduced). Approximate computing Arbitrary-precision arithmetic Extended precision Granularity IEEE754

    Precision (computer science)

    Precision_(computer_science)

  • Approximate Bayesian computation
  • Computational method in Bayesian statistics

    Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics that can be used to estimate the posterior

    Approximate Bayesian computation

    Approximate_Bayesian_computation

  • Orders of magnitude (numbers)
  • which computed all prime numbers up to that limit. Computing – Manufacturing: An estimated 6×1018 transistors were produced worldwide in 2008. Computing –

    Orders of magnitude (numbers)

    Orders_of_magnitude_(numbers)

  • Approximate membership query filter
  • space-efficient probabilistic data structures that support approximate membership queries. An approximate membership query answers whether an element is in a

    Approximate membership query filter

    Approximate_membership_query_filter

  • Epsilon-equilibrium
  • Situation where players have only a small incentive to change strategies

    equilibrium computation - discusses the general problem of computing an exact or approximate Nash equilibrium. Inline citations V. Bubelis (1979). "On

    Epsilon-equilibrium

    Epsilon-equilibrium

  • Computer
  • Programmable machine that processes data

    of the analytical engine's computing unit (the mill) in 1888. He gave a successful demonstration of its use in computing tables in 1906. In his work

    Computer

    Computer

    Computer

  • Approximate entropy
  • Concept in statistics

    In statistics, an approximate entropy (ApEn) is a technique used to quantify the amount of regularity and the unpredictability of fluctuations over time-series

    Approximate entropy

    Approximate_entropy

  • Memoization
  • Software programming optimization technique

    mitigated by explicit selection of those rules the parser will memoize. Approximate computing – category of techniques to improve efficiency Computational complexity

    Memoization

    Memoization

  • Edit distance
  • Computer science metric of string similarity

    Navarro, Gonzalo (1 March 2001). "A guided tour to approximate string matching" (PDF). ACM Computing Surveys. 33 (1): 31–88. CiteSeerX 10.1.1.452.6317

    Edit distance

    Edit_distance

  • Task skipping
  • Task skipping is an approximate computing technique that allows to skip code blocks according to a specific boolean condition to be checked at run-time

    Task skipping

    Task_skipping

  • Loop perforation
  • Loop perforation is an approximate computing technique that allows to regularly skip some iterations of a loop. It relies on one parameter: the perforation

    Loop perforation

    Loop_perforation

  • Timeline of computing 2020–present
  • computing from 2020 to the present. For narratives explaining the overall developments, see the history of computing. Significant events in computing

    Timeline of computing 2020–present

    Timeline of computing 2020–present

    Timeline_of_computing_2020–present

  • Neural network
  • Structure in biology and artificial intelligence

    cybernetics Biologically-inspired computing Shao, Feng; Shen, Zheng (January 9, 2022). "How can artificial neural networks approximate the brain?". Front. Psychol

    Neural network

    Neural_network

  • IEEE Rebooting Computing
  • Initiative to rethink the concept of computing

    Task Force on Rebooting Computing (TFRC), housed within IEEE Computer Society, is the new home for the IEEE Rebooting Computing Initiative. Founded in

    IEEE Rebooting Computing

    IEEE Rebooting Computing

    IEEE_Rebooting_Computing

  • Homomorphic encryption
  • Form of encryption that allows computation on ciphertexts

    Client-side encryption – Type of encryption Confidential computing – Privacy-enhancing computing technique Format-preserving encryption – Method in cryptography

    Homomorphic encryption

    Homomorphic_encryption

  • Numerical analysis
  • Methods for numerical approximations

    method of sparse grids. Numerical analysis is also concerned with computing (in an approximate way) the solution of differential equations, both ordinary differential

    Numerical analysis

    Numerical analysis

    Numerical_analysis

  • Quantinuum
  • Computing company founded in 2014

    Cambridge Quantum Computing (CQC). HQS was founded in 2014. The company used a trapped-ion architecture for its quantum computing hardware, which Honeywell

    Quantinuum

    Quantinuum

  • Ubiquitous computing
  • Concept in software engineering and computer science

    Ubiquitous computing (or "ubicomp") is a concept in software engineering, hardware engineering and computer science where computing is made to appear seamlessly

    Ubiquitous computing

    Ubiquitous_computing

  • Fixed-point computation
  • Computing the fixed point of a function

    Fixed-point computation refers to the process of computing an exact or approximate fixed point of a given function. In its most common form, the given

    Fixed-point computation

    Fixed-point_computation

  • Distributed computing
  • System with multiple networked computers

    common goal for their work. The terms "concurrent computing", "parallel computing", and "distributed computing" have much overlap, and no clear distinction

    Distributed computing

    Distributed_computing

  • Outline of computer science
  • Overview of and topical guide to computer science

    system for computer science is the ACM Computing Classification System devised by the Association for Computing Machinery. Computer science can be described

    Outline of computer science

    Outline_of_computer_science

  • Cache (computing)
  • Additional storage that enables faster access to main storage

    In computing, a cache (/kæʃ/ KASH) is a hardware or software component that stores data so that future requests for that data can be served faster; the

    Cache (computing)

    Cache (computing)

    Cache_(computing)

  • Nash equilibrium computation
  • Economical computational problem

    computing mixed-strategy NE vs computing pure-strategy NE. In each of these cases, one can consider computing an exact NE or an epsilon-approximate NE:

    Nash equilibrium computation

    Nash_equilibrium_computation

  • Locality-sensitive hashing
  • Algorithmic technique using hashing

    (1998). "Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality.". Proceedings of 30th Symposium on Theory of Computing. Charikar

    Locality-sensitive hashing

    Locality-sensitive_hashing

  • Box-drawing characters
  • Characters for drawing frames and boxes

    Drawing Block Elements Geometric Shapes Symbols for Legacy Computing Symbols for Legacy Computing Supplement Box Drawing U+2500-U+257F, The Unicode Standard

    Box-drawing characters

    Box-drawing characters

    Box-drawing_characters

  • TRE (computing)
  • Open-source library for pattern matching in text

    portable approximate regular expression matching library Navarro, Gonzalo (March 2001), "A guided tour to approximate string matching", ACM Computing Surveys

    TRE (computing)

    TRE_(computing)

  • Gauss–Legendre quadrature
  • Numerical analysis concept

    problem. Various methods have been developed that use approximate closed-form expressions to compute the nodes. As mentioned above, in some methods formulas

    Gauss–Legendre quadrature

    Gauss–Legendre_quadrature

  • Hierarchical matrix
  • Approximation method

    is usually not known. Nevertheless, approximate arithmetic operations can be employed to compute an approximate inverse without knowing the function

    Hierarchical matrix

    Hierarchical_matrix

  • Fast approximate anti-aliasing
  • Anti-aliasing algorithm

    Fast approximate anti-aliasing (FXAA) is a screen-space anti-aliasing algorithm created by Timothy Lottes at Nvidia. FXAA 3 is released under a public

    Fast approximate anti-aliasing

    Fast_approximate_anti-aliasing

  • Kavita Bala
  • Indian computer scientist and academic

    appointed Dean of the Faculty for Computing and Information Science, now known as the Cornell Ann S. Bowers College of Computing and Information Science. Bala

    Kavita Bala

    Kavita Bala

    Kavita_Bala

  • Parallel computing
  • Programming paradigm in which many processes are executed simultaneously

    parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has

    Parallel computing

    Parallel computing

    Parallel_computing

  • Association for Computing Machinery
  • International Society for Computing

    The Association for Computing Machinery (ACM) is an international learned society for computing founded on September 15, 1947, and headquartered in New

    Association for Computing Machinery

    Association_for_Computing_Machinery

  • Supercomputer
  • Type of extremely powerful computer

    computing whereby a "super virtual computer" of many loosely coupled volunteer computing machines performs very large computing tasks. Grid computing

    Supercomputer

    Supercomputer

    Supercomputer

  • Approximations of pi
  • Varying methods used to calculate pi

    algorithm, the formula can compute any particular base 16 digit of π—returning the hexadecimal value of the digit—without computing the intervening digits

    Approximations of pi

    Approximations of pi

    Approximations_of_pi

  • Fast Fourier transform
  • Discrete Fourier transform algorithm

    useful in many fields, but computing it directly from the definition is often too slow to be practical. An FFT rapidly computes such transformations by factorizing

    Fast Fourier transform

    Fast Fourier transform

    Fast_Fourier_transform

  • Computable number
  • Real number that can be computed within arbitrary precision

    numbers. Though the computable reals exhaust those reals we can calculate or approximate, the assumption that all reals are computable leads to substantially

    Computable number

    Computable number

    Computable_number

  • Agrep
  • Approximate string matching program

    expressions. Bitap algorithm TRE (computing) Wu, Sun; Manber, Udi (20–24 January 1992). Agrep -- a fast approximate pattern-matching tool. 1992 Winter

    Agrep

    Agrep

  • Timeline of computing 1950–1979
  • events in the history of computing from 1950 to 1979. For narratives explaining the overall developments, see the history of computing. Information revolution

    Timeline of computing 1950–1979

    Timeline of computing 1950–1979

    Timeline_of_computing_1950–1979

  • Pi
  • Number, approximately 3.14

    may approximate π based on the counts: π ≈ 2 n ℓ x t . {\displaystyle \pi \approx {\frac {2n\ell }{xt}}.} Another Monte Carlo method for computing π is

    Pi

    Pi

  • Gödel Prize
  • Computer science award

    Computing Machinery, May 29, 2013. Recipients Achieved Groundbreaking Results for Aggregating Data from Multiple Sources, Association for Computing Machinery

    Gödel Prize

    Gödel Prize

    Gödel_Prize

  • Rajesh K. Gupta
  • Kumar Shukla, Jean-Pierre Talpin From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators by Abbas Rahimi

    Rajesh K. Gupta

    Rajesh_K._Gupta

  • Levenshtein distance
  • Computer science metric for string similarity

    707L. Navarro, Gonzalo (2001). "A guided tour to approximate string matching" (PDF). ACM Computing Surveys. 33 (1): 31–88. CiteSeerX 10.1.1.452.6317

    Levenshtein distance

    Levenshtein distance

    Levenshtein_distance

  • Memory refresh
  • Process for preserving information in DRAM

    period saves energy with minor quality loss, which is an example of approximate computing. In static random-access memory (SRAM), another type of semiconductor

    Memory refresh

    Memory_refresh

  • Numerical integration
  • Methods of calculating definite integrals

    higher-dimensional integration. The basic problem in numerical integration is to compute an approximate solution to a definite integral ∫ a b f ( x ) d x {\displaystyle

    Numerical integration

    Numerical integration

    Numerical_integration

  • History of computing
  • The history of computing extends beyond the history of computing hardware and modern computing technology including earlier methods that relied on pen

    History of computing

    History of computing

    History_of_computing

  • Multilevel Monte Carlo method
  • Multilevel Monte Carlo (MLMC) methods in numerical analysis are algorithms for computing expectations that arise in stochastic simulations. Just as Monte Carlo

    Multilevel Monte Carlo method

    Multilevel_Monte_Carlo_method

  • Scheduling (computing)
  • Method by which work is assigned

    In computing, scheduling is the action of assigning resources to perform tasks. The resources may be processors, network links or expansion cards. The

    Scheduling (computing)

    Scheduling_(computing)

  • Artificial intelligence
  • Intelligence of machines

    approximation. Soft computing was introduced in the late 1980s and most successful AI programs in the 21st century are examples of soft computing with neural

    Artificial intelligence

    Artificial_intelligence

  • Computer performance by orders of magnitude
  • Quantum computing Timeline of quantum computing and communication Moore's law – observation (not actually a law) that, over the history of computing hardware

    Computer performance by orders of magnitude

    Computer_performance_by_orders_of_magnitude

  • Software as a service
  • Category of cloud computing

    the main business model for computing, and cluster computing enabled multiple computers to work together. Cloud computing emerged in the late 1990s with

    Software as a service

    Software_as_a_service

  • Amazon (company)
  • American multinational technology conglomerate

    American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, entertainment, and artificial

    Amazon (company)

    Amazon (company)

    Amazon_(company)

  • Arrow–Debreu exchange market
  • Polynomial Time Algorithm for Computing an Arrow–Debreu Market Equilibrium for Linear Utilities". SIAM Journal on Computing. 37 (1): 303–318. doi:10

    Arrow–Debreu exchange market

    Arrow–Debreu_exchange_market

  • Quantum optimization algorithms
  • Optimization algorithms using quantum computing

    more efficient ways of solving optimization problems are needed. Quantum computing may allow problems which are not practically feasible on classical computers

    Quantum optimization algorithms

    Quantum_optimization_algorithms

  • Edward Farhi
  • American physicist

    Quantum Computing?". The Quantum Insider. Retrieved 2025-01-07. Farhi, Edward; Aram W Harrow (2016). "Quantum Supremacy through the Quantum Approximate Optimization

    Edward Farhi

    Edward_Farhi

  • RDNA 3
  • GPU microarchitecture by AMD

    different operation (a×b+c×d+e). v t e Approximate die size of entire MCM package that consists of single GCD (Graphics Compute Die) and six MCDs (Memory Cache

    RDNA 3

    RDNA 3

    RDNA_3

  • Design Automation and Test in Europe
  • design, reconfigurable systems, and new ideas like quantum computing and approximate computing. Track A: Application Design focuses on real-world examples

    Design Automation and Test in Europe

    Design Automation and Test in Europe

    Design_Automation_and_Test_in_Europe

  • Parameterized approximation algorithm
  • Type of algorithm

    parameterized approximation algorithm is a type of algorithm that aims to find approximate solutions to NP-hard optimization problems in polynomial time in the

    Parameterized approximation algorithm

    Parameterized_approximation_algorithm

  • Fitness approximation
  • Fitness approximation aims to approximate the objective or fitness functions in evolutionary optimization by building up machine learning models based

    Fitness approximation

    Fitness_approximation

  • Guillaume Verdon
  • Canadian physicist and entrepreneur

    Quantum Computing and continued with Achim Kempf as his PhD supervisor. He presented papers as a Guest Speaker at NASA's 2018 Adiabatic Quantum Computing conference

    Guillaume Verdon

    Guillaume_Verdon

  • Load balancing (computing)
  • Digital workload distribution techniques

    In computing, load balancing is the process of distributing a set of tasks over a set of resources (computing units) with the aim of making their overall

    Load balancing (computing)

    Load balancing (computing)

    Load_balancing_(computing)

  • Root-finding algorithm
  • Algorithms for zeros of functions

    takes the same values at these approximate roots. Then the root of the polynomial is computed and used as a new approximate value of the root of the function

    Root-finding algorithm

    Root-finding_algorithm

  • Nancy M. Amato
  • American computer scientist

    "Elected AAAI Fellows". www.aaai.org. Association for Computing Machinery. "ACM Fellows Named for Computing Innovations that Are Advancing Technology in the

    Nancy M. Amato

    Nancy_M._Amato

  • Jeff Bezos
  • American businessman (born 1964)

    president and CEO of Amazon, the world's largest e-commerce and cloud computing company. According to the Bloomberg Billionaires Index and Forbes, he

    Jeff Bezos

    Jeff Bezos

    Jeff_Bezos

  • Initial public offering of SpaceX
  • 2026 American company IPO

    without specifying which data center. The deal covers a computing infrastructure of approximately 110,000 Nvidia GPUs, hardware needed to power Google Gemini

    Initial public offering of SpaceX

    Initial_public_offering_of_SpaceX

  • Limits of computation
  • computer. Reversible computing is not subject to this lower bound. T cannot, even in theory, be made lower than 3 kelvins, the approximate temperature of the

    Limits of computation

    Limits_of_computation

  • ACM/IEEE Supercomputing Conference
  • Annual event in America established 1988

    High Performance Computing, Networking, Storage and Analysis, is the annual conference established in 1988 by the Association for Computing Machinery and

    ACM/IEEE Supercomputing Conference

    ACM/IEEE_Supercomputing_Conference

  • Ka with ascender
  • Cyrillic letter

    and 1911. This letter does not have any computing codes, most notably in Unicode. It is possible to approximate this letter with the Latin letter K in

    Ka with ascender

    Ka with ascender

    Ka_with_ascender

  • Computability theory
  • Study of computable functions and Turing degrees

    necessary; there are many other models of computation that have the same computing power as Turing machines; for example the μ-recursive functions obtained

    Computability theory

    Computability_theory

  • Google
  • American multinational technology company

    online advertising, search engine technology, email, cloud computing, software, quantum computing, e-commerce, consumer electronics, and artificial intelligence

    Google

    Google

    Google

  • Next Unit of Computing
  • Small form factor PC designed by Intel

    Next Unit of Computing (NUC) is a line of small-form-factor barebone computer kits designed by Intel. Previewed in 2012 and launched in early 2013, the

    Next Unit of Computing

    Next Unit of Computing

    Next_Unit_of_Computing

  • Byte
  • Unit of digital information, usually 8 bits

    a convenience, because 1024 is approximately 1000. This definition was popular in early decades of personal computing, with products like the Tandon 51⁄4-inch

    Byte

    Byte

  • David Mount
  • American computer scientist

    on Computing, 37(2):584-610, 2007. J. S. B. Mitchell, D. M. Mount and C. H. Papadimitriou. The Discrete Geodesic Problem. SIAM Journal of Computing, 16(4):647-668

    David Mount

    David Mount

    David_Mount

  • Convex volume approximation
  • Frieze, Alan (1988), "On the complexity of computing the volume of a polyhedron", SIAM Journal on Computing, 17 (5): 967–974, doi:10.1137/0217060, MR 0961051

    Convex volume approximation

    Convex_volume_approximation

  • Coarse-grained reconfigurable array
  • computing, embedded bio-signal processing for wearable and near-sensor devices, and error-tolerant workloads addressed through approximate computing variants

    Coarse-grained reconfigurable array

    Coarse-grained reconfigurable array

    Coarse-grained_reconfigurable_array

  • List of algorithms
  • Coin graph drawing algorithms for finite connected planar graphs (approximately computing the theoretical circle-packing given by the Koebe-Andreev-Thurston

    List of algorithms

    List_of_algorithms

  • Range minimum query
  • Minimizing problem in computer programming

    be computed in Θ(n²) time by dynamic programming. As in the solution above, answering queries in constant time will be achieved by pre-computing results

    Range minimum query

    Range_minimum_query

  • List of Egyptian Americans
  • Provost for Computing & Data Sciences at Boston University. He is known for his work in distributed computing, networking, and trustworthy computing. Bahgat

    List of Egyptian Americans

    List_of_Egyptian_Americans

  • General-purpose computing on graphics processing units
  • Use of a GPU for computations typically assigned to CPUs

    supercomputing it is well-known that scientific computing drives the largest concentrations of Computing power in history, listed in the TOP500: the majority

    General-purpose computing on graphics processing units

    General-purpose_computing_on_graphics_processing_units

  • Snowflake Inc.
  • Cloud-based data-warehousing company

    processing, with integrations for tools like Tableau, Power BI, and Sigma Computing. In October 2022, the company acquired a 5% stake in advanced TV advertising

    Snowflake Inc.

    Snowflake Inc.

    Snowflake_Inc.

  • Neumann series
  • Mathematical series

    (e.g., by computing the singular values), confirming that the Neumann series converges. A truncated Neumann series can be used for approximate matrix inversion

    Neumann series

    Neumann_series

  • 525
  • Calendar year

    "Justinopolis". Bernicia (North East England) is settled by the Angles (approximate date). King Theodoric the Great sends Pope John I to Constantinople,

    525

    525

  • Median of medians
  • Fast approximate median algorithm

    In computer science, the median of medians is an approximate median selection algorithm, frequently used to supply a good pivot for an exact selection

    Median of medians

    Median of medians

    Median_of_medians

  • Poker probability
  • Chances of card combinations in poker

    instead). (The frequencies given are exact; the probabilities and odds are approximate.) Since suits have no relative value in poker, two hands can be considered

    Poker probability

    Poker_probability

  • String metric
  • Metric that measures the distance between two strings of text

    S2CID 2091942. Navarro, Gonzalo (2001). "A guided tour to approximate string matching". ACM Computing Surveys. 33 (1): 31–88. doi:10.1145/375360.375365. hdl:10533/172862

    String metric

    String_metric

  • Gottesman–Kitaev–Preskill code
  • Quantum error correcting code

    in 2001. The code is used in continuous variable (CV) photonic quantum computing, in which logical qubits are encoded into the field quadratures of an

    Gottesman–Kitaev–Preskill code

    Gottesman–Kitaev–Preskill_code

  • Persistent homology
  • Method for computing topological features of a space at different spatial resolutions

    filtered simplicial complex in order to approximate persistent homology. There are various software packages for computing persistence intervals of a finite

    Persistent homology

    Persistent_homology

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  • Houghton
  • Surname or Lastname

    English

    Houghton

    English : habitational name from any of the various places so called. The majority, with examples in at least fourteen counties, get the name from Old English hōh ‘ridge’, ‘spur’ (literally ‘heel’) + tūn ‘enclosure’, ‘settlement’. Haughton in Nottinghamshire also has this origin, and may have contributed to the surname. A smaller group of Houghtons, with examples in Lancashire and South Yorkshire, have as their first element Old English halh ‘nook’, ‘recess’. In the case of isolated examples in Devon and East Yorkshire, the first elements appear to be unattested Old English personal names or bynames, of which the forms approximate to Huhha and Hofa respectively, but the meanings are unknown.

    Houghton

  • Yard
  • Surname or Lastname

    English

    Yard

    English : topographic name for someone who lived by an enclosure of some kind, Middle English yard(e) (Old English geard; compare Garth).English : nickname from Middle English yard ‘rod’, ‘stick’ (Old English (Anglian) gerd), probably with reference to a rod or staff carried as a symbol of authority.English : from the same word as in 2, used to denote a measure of land. The surname probably denoted someone who held this quantity of land, and as it was quite a large amount (varying at different periods and in different places, but generally approximately 30 acres, a quarter of a hide), such a person would have been a reasonably prosperous farmer.

    Yard

  • Cuff
  • Surname or Lastname

    English

    Cuff

    English : metonymic occupational name for a maker and seller of gloves or a nickname for a wearer of particularly fine gloves, from Middle English cuffe ‘glove’ (of uncertain origin; attested in this sense from the 14th century, with the modern meaning first in the 16th century).Irish : Anglicized form of Gaelic Mac Dhuibh, a variant of Mac Duibh ‘son of the black one’ (see Duff).Irish : approximate translation of Gaelic Ó Doirnín (see Dornan).Cornish : nickname from Cornish cuf ‘dear’, ‘kind’.

    Cuff

  • Jarl
  • Boy/Male

    Scandinavian

    Jarl

    Royalty title approximately equivalent to the English Earl.

    Jarl

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APPROXIMATE COMPUTING

  • Point
  • v. i.

    To approximate to the surface; to head; -- said of an abscess.

  • Mechanical
  • a.

    Obtained by trial, by measurements, etc.; approximate; empirical. See the 2d Note under Geometric.

  • Subquadrate
  • a.

    Nearly or approximately square; almost square.

  • Approximate
  • a.

    Approaching; proximate; nearly resembling.

  • Approximately
  • adv.

    With approximation; so as to approximate; nearly.

  • Subcylindric
  • a.

    Imperfectly cylindrical; approximately cylindrical.

  • Approximate
  • a.

    Near correctness; nearly exact; not perfectly accurate; as, approximate results or values.

  • Approximate
  • v. t.

    To carry or advance near; to cause to approach.

  • Proximious
  • a.

    Proximate.

  • Subpentangular
  • a.

    Nearly or approximately pentangular; almost pentangular.

  • Proximate
  • a.

    Nearest; next immediately preceding or following.

  • Approximate
  • v. t.

    To come near to; to approach.

  • Approximating
  • p. pr. & vb. n.

    of Approximate

  • Approximate
  • v. i.

    To draw; to approach.

  • Approximated
  • imp. & p. p.

    of Approximate

  • Approximative
  • a.

    Approaching; approximate.

  • Approximator
  • n.

    One who, or that which, approximates.

  • Subpolygonal
  • a.

    Approximately polygonal; somewhat or almost polygonal.

  • About
  • prep.

    Near; not far from; -- determining approximately time, size, quantity.

  • Remote
  • superl.

    Not proximate or acting directly; primary; distant.