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APPROXIMATION PRESERVING-REDUCTION

  • Approximation-preserving reduction
  • Algorithm for transforming one optimization problem into another

    complexity theory, especially the study of approximation algorithms, an approximation-preserving reduction is an algorithm for transforming one optimization

    Approximation-preserving reduction

    Approximation-preserving_reduction

  • L-reduction
  • preserves approximability features; it is one type of approximation-preserving reduction. L-reductions in studies of approximability of optimization problems

    L-reduction

    L-reduction

  • Reduction (complexity)
  • Transformation of one computational problem to another

    solutions to instances of problem A. Approximation-preserving reductions are often used to prove hardness of approximation results: if some optimization problem

    Reduction (complexity)

    Reduction (complexity)

    Reduction_(complexity)

  • PTAS reduction
  • Approximation-preserving reduction

    reduction is an approximation-preserving reduction that is often used to perform reductions between solutions to optimization problems. It preserves the

    PTAS reduction

    PTAS_reduction

  • PTAS
  • Topics referred to by the same term

    approximation scheme, an approximation algorithm in computer science Pesetas, Spanish currency PTAS reduction, an approximation-preserving reduction in

    PTAS

    PTAS

  • Exact algorithm
  • exponential with a low base. Approximation-preserving reduction APX is the class of problems with some constant-factor approximation algorithm Heuristic algorithm

    Exact algorithm

    Exact_algorithm

  • Approximation algorithm
  • Class of algorithms that find approximate solutions to optimization problems

    constant-factor approximation algorithm Approximation-preserving reduction Exact algorithm Bernard., Shmoys, David (2011). The design of approximation algorithms

    Approximation algorithm

    Approximation_algorithm

  • Gap reduction
  • solvable in polynomial time. Approximation-preserving reduction Optimization problem Approximation algorithm PTAS reduction Demaine, Erik (Fall 2014). "Algorithmic

    Gap reduction

    Gap_reduction

  • Interval scheduling
  • Class of problems in computer science

    have a PTAS unless P=NP. This can be proved by showing an approximation-preserving reduction from MAX 3-SAT-3 to GISMP2. The following greedy algorithm

    Interval scheduling

    Interval_scheduling

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

    the Wayback Machine Orponen, P.; Mannila, H. (1987). On approximation preserving reductions: Complete problems and robust measures' (Report). Department

    Travelling salesman problem

    Travelling salesman problem

    Travelling_salesman_problem

  • APX
  • Complexity class of approximable problems

    their value, hence the exponential factor. Approximation-preserving reduction Complexity class Approximation algorithm Max/min CSP/Ones classification

    APX

    APX

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

    similar distribution. Uniform manifold approximation and projection (UMAP) is a nonlinear dimensionality reduction technique. It works in a similar fashion

    Nonlinear dimensionality reduction

    Nonlinear dimensionality reduction

    Nonlinear_dimensionality_reduction

  • Dimensionality reduction
  • Process of reducing the number of random variables under consideration

    necessarily preserve densities or distances well. Uniform manifold approximation and projection (UMAP) is a nonlinear dimensionality reduction technique

    Dimensionality reduction

    Dimensionality_reduction

  • Coreset
  • Computational geometry and optimization concept

    geometry and approximation algorithms, a coreset is a small, possibly weighted subset of an input point set that approximately preserves the value of

    Coreset

    Coreset

  • Polynomial-time approximation scheme
  • Type of approximation algorithm

    APX-hardness is commonly shown via PTAS reduction or AP-reduction. Parameterized approximation scheme, an approximation scheme that runs in FPT time Sanjeev

    Polynomial-time approximation scheme

    Polynomial-time_approximation_scheme

  • Optimal facility location
  • Optimization problem

    to within a factor O(log n). This factor is tight, via an approximation-preserving reduction from the set cover problem. If we assume distances between

    Optimal facility location

    Optimal_facility_location

  • Locality-sensitive hashing
  • Algorithmic technique using hashing

    (LSH); or data-dependent methods, such as locality-preserving hashing (LPH). Locality-preserving hashing was initially devised as a way to facilitate

    Locality-sensitive hashing

    Locality-sensitive_hashing

  • K-minimum spanning tree
  • Minimum-cost tree with exactly k vertices

    NP-hardness reduction for the k-minimum spanning tree problem preserves the weight of all solutions, it also preserves the hardness of approximation of the

    K-minimum spanning tree

    K-minimum spanning tree

    K-minimum_spanning_tree

  • Parameterized approximation algorithm
  • Type of algorithm

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

    Parameterized approximation algorithm

    Parameterized_approximation_algorithm

  • Feedback vertex set
  • Vertices whose removal breaks all cycles

    The existence of an approximation preserving L-reduction from the vertex cover problem to it; Existing constant-factor approximation algorithms. The best

    Feedback vertex set

    Feedback vertex set

    Feedback_vertex_set

  • Gadget (computer science)
  • Subunit of a computational problem

    derived from the reduction will depend on how well the gap is preserved. Trevisan et al. (2000) formalize the problem of finding gap-preserving gadgets, for

    Gadget (computer science)

    Gadget_(computer_science)

  • Random projection
  • Technique to reduce dimensionality of points in Euclidean space

    Dimensionality reduction is often used to reduce the problem of managing and manipulating large data sets. Dimensionality reduction techniques generally

    Random projection

    Random_projection

  • ♯P-complete
  • Complexity class

    polynomial time. In some cases parsimonious reductions, a more specific type of reduction that preserves the exact number of solutions, are used. #P-complete

    ♯P-complete

    ♯P-complete

  • Isometry
  • Distance-preserving mathematical transformation

    an isometry (or congruence, or congruent transformation) is a distance-preserving transformation between metric spaces, usually assumed to be bijective

    Isometry

    Isometry

    Isometry

  • Trigonometric table
  • Lists of values of mathematical functions

    combine a polynomial or rational approximation (such as Chebyshev approximation, best uniform approximation, Padé approximation, and typically for higher or

    Trigonometric table

    Trigonometric table

    Trigonometric_table

  • Power system reduction
  • Simplifying model for electrical grids

    By applying network reduction techniques transmission system operators can significantly reduce simulation time while preserving the essential dynamic

    Power system reduction

    Power system reduction

    Power_system_reduction

  • Square root algorithms
  • Algorithms for calculating square roots

    these algorithms typically construct a series of increasingly accurate approximations. Most square root computation methods are iterative: after choosing

    Square root algorithms

    Square_root_algorithms

  • ♯SAT
  • polynomial-time approximation scheme (FPRAS), even assuming that each variable occurs in at most 6 clauses, but that a fully polynomial-time approximation scheme

    ♯SAT

    ♯SAT

  • Combinatorial optimization
  • Subfield of mathematical optimization

    some reduction. Due to the connection between approximation algorithms and computational optimization problems, reductions which preserve approximation in

    Combinatorial optimization

    Combinatorial optimization

    Combinatorial_optimization

  • Bin packing problem
  • Mathematical and computational problem

    problem can be produced with sophisticated algorithms. In addition, many approximation algorithms exist. For example, the first fit algorithm provides a fast

    Bin packing problem

    Bin_packing_problem

  • Model collapse
  • Degradation of AI models trained on synthetic data

    discourage over-memorisation and maintain output variety while preserving task performance. Preserving output diversity in this way has also been reported to

    Model collapse

    Model_collapse

  • Vertex cover
  • Subset of a graph's vertices, including at least one endpoint of every edge

    approximation-preserving way: The Independent Set problem has no constant-factor approximation unless P = NP. Approximation algorithm: APPROXIMATION-VERTEX-COVER(G)

    Vertex cover

    Vertex cover

    Vertex_cover

  • Transgender voice surgery
  • Gender-affirming surgery undertaken by transgender people to alter their voice

    Mehmet Mazhar (2010). "Laser Reduction Glottoplasty for Managing Androphonia After Failed Cricothyroid Approximation Surgery". Journal of Voice. 24

    Transgender voice surgery

    Transgender_voice_surgery

  • Dominating set
  • Subset of a graph's nodes such that all other nodes link to at least one

    and vice versa. Moreover, the reductions preserve the approximation ratio: for any α, a polynomial-time α-approximation algorithm for minimum dominating

    Dominating set

    Dominating set

    Dominating_set

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

    non-overlapping way. Because f is locally area-preserving, this non-overlapping property would make it area-preserving for all of S, so the area of f (S) would

    Minkowski's theorem

    Minkowski's theorem

    Minkowski's_theorem

  • Feminization laryngoplasty
  • Surgery to increase voice pitch

    thyroplasty that is distinct in critically avoiding a cricothyroid approximation. Instead, as a form of open laryngoplasty a partial laryngectomy of

    Feminization laryngoplasty

    Feminization laryngoplasty

    Feminization_laryngoplasty

  • Unique games conjecture
  • Unsolved problem in computational complexity theory

    complexity. It has broad applications in the theory of hardness of approximation. If the unique games conjecture is true and P ≠ NP, then for many important

    Unique games conjecture

    Unique_games_conjecture

  • Rough set
  • Approximation of a mathematical set

    a formal approximation of a crisp set (i.e., conventional set) in terms of a pair of sets which give the lower and the upper approximation of the original

    Rough set

    Rough_set

  • Total variation denoising
  • Noise removal process during image processing

    variation denoising is a remarkably effective edge-preserving filter, i.e., simultaneously preserving edges whilst smoothing away noise in flat regions

    Total variation denoising

    Total variation denoising

    Total_variation_denoising

  • Jacobian matrix and determinant
  • Matrix of partial derivatives of a vector-valued function

    product Jf(x) ⋅ h is another displacement vector, that is the best linear approximation of the change of f along h in a neighborhood of x, if f(x) is differentiable

    Jacobian matrix and determinant

    Jacobian_matrix_and_determinant

  • Lossy compression
  • Type of data compression

    compression, is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques

    Lossy compression

    Lossy compression

    Lossy_compression

  • Embedding (machine learning)
  • Representation learning technique

    extraction Dimensionality reduction Word embedding Neural network Reinforcement learning Metric space#Metric embeddings and approximations Bengio, Yoshua; Ducharme

    Embedding (machine learning)

    Embedding_(machine_learning)

  • Bottleneck traveling salesman problem
  • Variant of the traveling salesman problem

    However, although this transformation preserves the optimal solution, it does not preserve the quality of approximations to that solution. If the graph is

    Bottleneck traveling salesman problem

    Bottleneck_traveling_salesman_problem

  • Self-organizing map
  • Machine learning technique useful for dimensionality reduction

    two-dimensional) representation of a higher-dimensional data set while preserving the topological structure of the data. For example, a data set with p

    Self-organizing map

    Self-organizing map

    Self-organizing_map

  • Image scaling
  • Changing the resolution of a digital image

    an approximation to the sinc method, yields better results. Bicubic interpolation can be regarded as a computationally efficient approximation to Lanczos

    Image scaling

    Image scaling

    Image_scaling

  • Principal component analysis
  • Method of data analysis

    component analysis Low-rank approximation Matrix decomposition Non-negative matrix factorization Nonlinear dimensionality reduction Oja's rule Point distribution

    Principal component analysis

    Principal component analysis

    Principal_component_analysis

  • MAX-3SAT
  • Problem in computer science

    is useful because MAX-3SAT(B) can often be used to obtain a PTAS-preserving reduction in a way that MAX-3SAT cannot. Proofs for explicit values of B include:

    MAX-3SAT

    MAX-3SAT

  • Dynamic mode decomposition
  • Dimensionality reduction algorithm

    computationally expensive to build than standard DMD models. Measure-preserving EDMD: Measure-preserving extended DMD (mpEDMD) offers a Galerkin method whose eigendecomposition

    Dynamic mode decomposition

    Dynamic_mode_decomposition

  • Non-local means
  • Image denoising algorithm

    a factor of 50 while preserving comparable quality of the result. Anisotropic diffusion Digital image processing Noise reduction Nonlocal operator Signal

    Non-local means

    Non-local means

    Non-local_means

  • Lenition
  • Consonant sound change

    changes: voicing, approximation, and vocalization.[clarification needed] [t] > [d] (voicing, example in Korean) [d] > [ð] (approximation, example in Spanish)

    Lenition

    Lenition

  • Bézier curve
  • Curve used in computer graphics and related fields

    } Degree reduction can only be done exactly when the curve in question is originally elevated from a lower degree. A number of approximation algorithms

    Bézier curve

    Bézier curve

    Bézier_curve

  • Steiner tree problem
  • On short connecting nets with added points

    instance of the metric Steiner tree problem; the transformation preserves the approximation factor. While the Euclidean version admits a PTAS, it is known

    Steiner tree problem

    Steiner tree problem

    Steiner_tree_problem

  • Difference of Gaussians
  • Feature enhancement algorithm in imaging science

    separable filter. The difference of Gaussians can be thought of as an approximation of the Mexican hat kernel function used for the Laplacian of the Gaussian

    Difference of Gaussians

    Difference_of_Gaussians

  • Rectified linear unit
  • Type of activation function

    paper also introduces a few faster approximations for GELU. The first approximation follows from an approximation for Φ ( x ) {\displaystyle \Phi (x)}

    Rectified linear unit

    Rectified linear unit

    Rectified_linear_unit

  • List of numerical analysis topics
  • complex numbers Gamma function: Lanczos approximation Spouge's approximation — modification of Stirling's approximation; easier to apply than Lanczos AGM method

    List of numerical analysis topics

    List_of_numerical_analysis_topics

  • Feedback arc set
  • Edges that hit all cycles in a graph

    the Karp–Lawler reduction from vertex cover to feedback arc set, which preserves the quality of approximations. By a different reduction, the maximum acyclic

    Feedback arc set

    Feedback arc set

    Feedback_arc_set

  • Inverse function theorem
  • Theorem in mathematics

    an inverse function. The essential idea is that if the best linear approximation to the function at a point is invertible, then with sufficient regularity

    Inverse function theorem

    Inverse function theorem

    Inverse_function_theorem

  • Sierpiński triangle
  • Fractal composed of triangles

    triangle, so the following algorithm will again generate arbitrarily close approximations to it: Start by labeling p1, p2 and p3 as the corners of the Sierpiński

    Sierpiński triangle

    Sierpiński triangle

    Sierpiński_triangle

  • Gaussian blur
  • Type of image blur produced by a Gaussian function

    calculations for each pixel. In practice, when computing a discrete approximation of the Gaussian function, pixels at a distance of more than 3σ have

    Gaussian blur

    Gaussian blur

    Gaussian_blur

  • Sequent calculus
  • Style of formal logical argumentation

    argument according to rules and procedures of inference, giving a better approximation to the natural style of deduction used by mathematicians than David

    Sequent calculus

    Sequent_calculus

  • Anisotropic diffusion
  • Image noise reducing technique

    edges. Bilateral filter Edge detection Edge-preserving smoothing Heat equation Image noise Noise reduction Scale space Total variation denoising Bounded

    Anisotropic diffusion

    Anisotropic_diffusion

  • Latent semantic analysis
  • Technique in natural language processing

    by k respectively. The SVD operation, along with this reduction, has the effect of preserving the most important semantic information in the text while

    Latent semantic analysis

    Latent_semantic_analysis

  • Semidefinite embedding
  • the data is sampled well enough, the resulting graph is a discrete approximation of the underlying manifold. The neighbourhood graph is "unfolded" with

    Semidefinite embedding

    Semidefinite_embedding

  • Controlled-envelope single-sideband modulation
  • Type of sideband modulation

    truncation of the spectrum and nonlinear phase distortion from the approximation errors of the practical implementation of the required Hilbert transform

    Controlled-envelope single-sideband modulation

    Controlled-envelope_single-sideband_modulation

  • Heuristic
  • Problem-solving method

    perfected, or rationalized, but is nevertheless "good enough" as an approximation or attribute substitution. Where finding an optimal solution is impossible

    Heuristic

    Heuristic

  • Diffusion map
  • Geometric algorithm

    Diffusion maps is a dimensionality reduction or feature extraction algorithm introduced by Coifman and Lafon which computes a family of embeddings of

    Diffusion map

    Diffusion map

    Diffusion_map

  • Singular value decomposition
  • Matrix decomposition

    applications of the SVD include computing the pseudoinverse, matrix approximation, and determining the rank, range, and null space of a matrix. The SVD

    Singular value decomposition

    Singular value decomposition

    Singular_value_decomposition

  • Softmax function
  • Smooth approximation of one-hot arg max

    generalization of the logistic function. The Softmax function is a smooth approximation to the arg max function: the function whose value is the index of a

    Softmax function

    Softmax_function

  • Tone mapping
  • Image processing technique

    addresses the problem of strong contrast reduction from the scene radiance to the displayable range while preserving the image details and color appearance

    Tone mapping

    Tone mapping

    Tone_mapping

  • Ozone depletion
  • Atmospheric phenomenon

    association between ocular cortical cataracts and UV-B exposure, using crude approximations of exposure and various cataract assessment techniques. A detailed assessment

    Ozone depletion

    Ozone depletion

    Ozone_depletion

  • Prior probability
  • Distribution of an uncertain quantity

    the ball will be found under; the uniform prior is the only one which preserves this invariance. If one accepts this invariance principle then one can

    Prior probability

    Prior_probability

  • Compressed sensing
  • Signal processing technique

    sensitive materials. Low-density parity-check code Noiselet Sparse approximation Sparse coding Verification-based message-passing algorithms in compressed

    Compressed sensing

    Compressed_sensing

  • Backslash
  • Typographical mark (\)

    characters and to introduce lambda functions (since it is a reasonable approximation in ASCII of the Greek letter lambda, λ). MS-DOS 2.0, released 1983,

    Backslash

    Backslash

  • Activation function
  • Artificial neural network node function

    be a universal function approximator. This is known as the Universal Approximation Theorem. The identity activation function does not satisfy this property

    Activation function

    Activation function

    Activation_function

  • Progressive-iterative approximation method
  • Computer-aided geometric design

    In mathematics, the progressive-iterative approximation method is an iterative method of data fitting with geometric meanings. Given a set of data points

    Progressive-iterative approximation method

    Progressive-iterative_approximation_method

  • Snus
  • Moist tobacco product placed under the upper lip

    that facilitate the formation of tobacco-specific nitrosamines, while preserving the desired texture and mouthfeel of the snus. The absorption of nicotine

    Snus

    Snus

    Snus

  • Llanito
  • Spanish variety spoken in Gibraltar

    someone is acting with excessive self-importance. Melbil is a Spanish approximation of the pronunciation of the British name Melville, and the expression

    Llanito

    Llanito

    Llanito

  • Boolean satisfiability problem
  • Problem of determining if a Boolean formula could be made true

    formulas, sometimes called CNFSAT. A useful property of Cook's reduction is that it preserves the number of accepting answers. For example, deciding whether

    Boolean satisfiability problem

    Boolean_satisfiability_problem

  • Mastopexy
  • Mammoplasty procedure to raise sagging breasts

    procedure. Moreover, mastopexy surgery techniques also are applied to reduction mammoplasty, which is the correction of oversized breasts. Psychologically

    Mastopexy

    Mastopexy

  • List of statistics articles
  • priori probability Abductive reasoning Absolute deviation Absolute risk reduction Absorbing Markov chain ABX test Accelerated failure time model Acceptable

    List of statistics articles

    List_of_statistics_articles

  • Bootstrapping (statistics)
  • Statistical method

    entropy principles satisfying the Ergodic theorem with mean-preserving and mass-preserving constraints. There is an R package, meboot, that utilizes the

    Bootstrapping (statistics)

    Bootstrapping_(statistics)

  • Mann–Whitney U test
  • Nonparametric test of the null hypothesis

    samples, the distribution is tabulated For sample sizes above ~20, approximation using the normal distribution is fairly good. Alternatively, the null

    Mann–Whitney U test

    Mann–Whitney_U_test

  • Graph Fourier transform
  • Mathematical transform

    small subset of labeled nodes, theoretically operating as a first order approximation of spectral graph convolutions without computing the graph Laplacian

    Graph Fourier transform

    Graph_Fourier_transform

  • Fraction
  • Ratio of two numbers

    multiply 15 by 1⁄3, for example, than it is to multiply 15 by any decimal approximation of one third. Monetary values are commonly expressed as decimal fractions

    Fraction

    Fraction

    Fraction

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

    method for evaluating polynomial approximations, and is the preferred approach for implementing privacy-preserving machine learning applications. The

    Homomorphic encryption

    Homomorphic_encryption

  • Prime Minister of the United Kingdom
  • Head of government of the United Kingdom

    executive authorities, but in truth, its merit consists in their singular approximation. The connecting link is the Cabinet ... A Cabinet is a combing committee—a

    Prime Minister of the United Kingdom

    Prime Minister of the United Kingdom

    Prime_Minister_of_the_United_Kingdom

  • Speculative decoding
  • between two phases: drafting and verification. During drafting, a fast approximation model generates a short run of K candidate tokens, typically between

    Speculative decoding

    Speculative_decoding

  • Johnson–Lindenstrauss lemma
  • Mathematical result

    applications in compressed sensing, manifold learning, dimensionality reduction, graph embedding, and natural language processing. Much of the data stored

    Johnson–Lindenstrauss lemma

    Johnson–Lindenstrauss_lemma

  • Decompression sickness
  • Disorder caused by dissolved gases forming bubbles in tissues

    decompression sickness which uses the dive profile as input and a mathematical approximation of tissue gas dynamics which omits a number of factors which are known

    Decompression sickness

    Decompression sickness

    Decompression_sickness

  • Buck converter
  • DC-DC voltage step-down power converter

    off-state). The increase in average current makes up for the reduction in voltage, and ideally preserves the power provided to the load. During the off-state

    Buck converter

    Buck converter

    Buck_converter

  • Comparison of Lao and Isan
  • Comparison of languages

    ມະລາບີ M-A-L-A-B-I malabi /māʔ.láː.bìː/, approximation of endonym of the Mlabri people. Thai orthography preserves writing the consonants together, although

    Comparison of Lao and Isan

    Comparison of Lao and Isan

    Comparison_of_Lao_and_Isan

  • Giorgio Ausiello
  • Italian computer scientist

    Giorgio; D'Atri, Alessandro; Protasi, Marco (1980). "Structure preserving reductions among convex optimization problems". Journal of Computer and System

    Giorgio Ausiello

    Giorgio_Ausiello

  • Diffusion model
  • Technique for the generative modeling of a continuous probability distribution

    Given a density q {\displaystyle q} , we wish to learn a score function approximation f θ ≈ ∇ ln ⁡ q {\displaystyle f_{\theta }\approx \nabla \ln q} . This

    Diffusion model

    Diffusion_model

  • Language change
  • Modification or development of a language

    least effort tends to result in phonetic reduction of speech forms. See vowel reduction, cluster reduction, lenition, and elision. After some time, a

    Language change

    Language_change

  • Image file format
  • Standardized means of organizing and storing digital images

    A compression algorithm stores either an exact representation or an approximation of the original image in a smaller number of bytes that can be expanded

    Image file format

    Image_file_format

  • Climate change
  • Human-caused changes to climate on Earth

    adopts the 51-year reference period, 1850–1900 inclusive, assessed as an approximation of pre-industrial levels in AR5 ... Temperatures rose by 0.0 °C–0.2 °C

    Climate change

    Climate change

    Climate_change

  • Slash (punctuation)
  • Slanting line punctuation mark (/)

    backslash, the symbol chosen by this transcript as a typographical approximation thereof. For an example of this in practice, see the section on proofreading

    Slash (punctuation)

    Slash_(punctuation)

  • Sporus of Nicaea
  • Greek mathematician and astronomer (c. 240–300)

    Philo of Gadara, of whom nothing is known about other than he gave an approximation for π better than Archimedes. In geometry, Sporus seemed to dwell on

    Sporus of Nicaea

    Sporus_of_Nicaea

  • Arithmetic
  • Branch of elementary mathematics

    the next digit is less than 5, so that the rounded number is the best approximation of a given precision for the original number. For instance, if the number

    Arithmetic

    Arithmetic

    Arithmetic

  • Flavour (particle physics)
  • Species of elementary particle

    not substantially contribute to the system's behavior, and to zeroth approximation the masses of the lightest quarks can be ignored for most purposes,

    Flavour (particle physics)

    Flavour_(particle_physics)

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Online names & meanings

  • Pyar
  • Girl/Female

    Indian, Punjabi, Sikh

    Pyar

    Love

  • Patrobas
  • Biblical

    Patrobas

    paternal; that pursues the steps of his father

  • Harkeet
  • Boy/Male

    Indian, Sikh

    Harkeet

    Lovable

  • Hira
  • Girl/Female

    Indian

    Hira

    Powerful, Power, Diamond, Darkness

  • Murtaza
  • Boy/Male

    Arabic, Australian, German, Muslim, Pashtun

    Murtaza

    The Generous; The Giving; The Chosen

  • Leenata
  • Girl/Female

    Hindu, Indian

    Leenata

    Humility

  • Jelley
  • Surname or Lastname

    English, Scottish, and northern Irish

    Jelley

    English, Scottish, and northern Irish : Anglicized form of French Giles. This is believed to be a Huguenot name.

  • Tanoj
  • Boy/Male

    Hindu, Indian, Telugu

    Tanoj

    Son

  • Kirstie
  • Girl/Female

    Greek Latin American

    Kirstie

    Christian.

  • Fulla
  • Girl/Female

    Norse

    Fulla

    One of Frigga's ladies in waiting.

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Other words and meanings similar to

APPROXIMATION PRESERVING-REDUCTION

AI search in online dictionary sources & meanings containing APPROXIMATION PRESERVING-REDUCTION

APPROXIMATION PRESERVING-REDUCTION

  • Deserving
  • a.

    Meritorious; worthy; as, a deserving person or act.

  • Approximator
  • n.

    One who, or that which, approximates.

  • Presenting
  • p. pr. & vb. n.

    of Present

  • Preserving
  • p. pr. & vb. n.

    of Preserve

  • Approximation
  • n.

    A value that is nearly but not exactly correct.

  • Approximation
  • n.

    A continual approach or coming nearer to a result; as, to solve an equation by approximation.

  • Saving
  • a.

    Preserving; rescuing.

  • Reserving
  • p. pr. & vb. n.

    of Reserve

  • Monumental
  • a.

    Serving as a monument; memorial; preserving memory.

  • Approximative
  • a.

    Approaching; approximate.

  • Approximately
  • adv.

    With approximation; so as to approximate; nearly.

  • Herbarium
  • n.

    A book or case for preserving dried plants.

  • Synteretic
  • a.

    Preserving health; prophylactic.

  • Antiputrescent
  • a.

    Counteracting, or preserving from, putrefaction; antiseptic.

  • Approximation
  • n.

    The act of approximating; a drawing, advancing or being near; approach; also, the result of approximating.

  • Prophylactical
  • a.

    Defending or preserving from disease; preventive.

  • Occlusion
  • n.

    The transient approximation of the edges of a natural opening; imperforation.

  • Approximation
  • n.

    An approach to a correct estimate, calculation, or conception, or to a given quantity, quality, etc.

  • Approximating
  • p. pr. & vb. n.

    of Approximate

  • Hemispheroidal
  • a.

    Resembling, or approximating to, a hemisphere in form.