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SIGNED DISTANCE-FUNCTION

  • Signed distance function
  • Distance from a point to the boundary of a set

    mathematics and its applications, the signed distance function or signed distance field (SDF) is the orthogonal distance of a given point x to the boundary

    Signed distance function

    Signed distance function

    Signed_distance_function

  • Distance
  • Separation between two points

    -38° A distance: 8.72 km In mathematics and its applications, the signed distance function or signed distance field (SDF) is the orthogonal distance of a

    Distance

    Distance

    Distance

  • Ray marching
  • 3D computer graphics rendering method

    point is approximated between the ray and a surface defined by a signed distance function (SDF). The SDF is evaluated for each iteration in order to be able

    Ray marching

    Ray_marching

  • Distance transform
  • Derived representation of a digital image

    marching cubes algorithm. Signed distance function Function representation Parallel curve Level sets methods for distance computation. Gibson, Sarah

    Distance transform

    Distance transform

    Distance_transform

  • Metric space
  • Mathematical space with a notion of distance

    together with a notion of distance between its points. The distance is measured by a function called a metric or distance function. Metric spaces are a general

    Metric space

    Metric space

    Metric_space

  • Arc length
  • Distance along a curve

    point taken as origin in the curve (see also: curve orientation and signed distance). If a planar curve in R 2 {\displaystyle \mathbb {R} ^{2}} is defined

    Arc length

    Arc length

    Arc_length

  • SDF
  • Topics referred to by the same term

    Scientific Data Format, a Hierarchical Data Format implementation Signed distance function (or field), in mathematical applications Syntax Definition Formalism

    SDF

    SDF

  • Neural field
  • Type of artificial neural network

    dynamic cases. For example, a neural field can learn signed distance functions (SDFs) or occupancy functions, which provide an efficient and continuous representation

    Neural field

    Neural_field

  • Implicit surface
  • Surface in 3D space defined by an implicit function of three variables

    implicit surfaces. Implicit curve Geologic modelling Signed distance function Radial basis function Adriano N. Raposo; Abel J.P. Gomes (2019). "Pi-surfaces:

    Implicit surface

    Implicit surface

    Implicit_surface

  • Normal (geometry)
  • Line or vector perpendicular to a curve or a surface

    stereo. The normal vector may be obtained as the gradient of the signed distance function. The normal ray is the outward-pointing ray perpendicular to the

    Normal (geometry)

    Normal (geometry)

    Normal_(geometry)

  • MSDF
  • Topics referred to by the same term

    Forensics, an academic degree Multi-channel signed distance field, a field created by a signed distance function Danish company "Møbler Samling Drømmen Flyder"

    MSDF

    MSDF

  • Surface (mathematics)
  • Mathematical idealization of the surface of a body

    Perimeter, a two-dimensional equivalent Polyhedral surface Shape Signed distance function Solid figure Surface area Surface patch Surface integral A smooth

    Surface (mathematics)

    Surface (mathematics)

    Surface_(mathematics)

  • Ray tracing (graphics)
  • Rendering method

    intersection point between the ray and a surface defined by a signed distance function (SDF). The SDF is evaluated for each iteration in order to be able

    Ray tracing (graphics)

    Ray tracing (graphics)

    Ray_tracing_(graphics)

  • Sign (mathematics)
  • Number property of being positive or negative

    Percent sign Plus–minus sign Positive element Signedness Symmetry in mathematics Weisstein, Eric W. "Sign". mathworld.wolfram.com. Retrieved 2020-08-26

    Sign (mathematics)

    Sign (mathematics)

    Sign_(mathematics)

  • Volume ray casting
  • Image-based volume rendering technique

    point is approximated between the ray and a surface defined by a signed distance function (SDF). The SDF is evaluated for each iteration in order to be able

    Volume ray casting

    Volume_ray_casting

  • Function representation
  • modeling Isosurface Signed distance function HyperFun Digital materialization ""Shape Modeling and Computer Graphics with Real Functions"". Archived from

    Function representation

    Function_representation

  • Rendering (computer graphics)
  • Producing images of 3D scenes

    object, such as a volumetric dataset or a surface defined by a signed distance function. It is not, by itself, a rendering method, but it can be incorporated

    Rendering (computer graphics)

    Rendering (computer graphics)

    Rendering_(computer_graphics)

  • Statistical distance
  • Distance between two statistical objects

    to "distance", similar terms include deviance, deviation, discrepancy, discrimination, and divergence, as well as others such as contrast function and

    Statistical distance

    Statistical_distance

  • Pearson correlation coefficient
  • Measure of linear correlation

    cross-product of standardized variables Function of the angle between two standardized regression lines Function of the angle between two variable vectors

    Pearson correlation coefficient

    Pearson correlation coefficient

    Pearson_correlation_coefficient

  • Failure rate
  • Frequency with which an engineered system or component fails

    function), h ( t ) {\displaystyle h(t)} . In the many-system case, this is defined as the proportional failure rate of the systems still functioning at

    Failure rate

    Failure_rate

  • Loss function
  • Mathematical relation assigning a probability event to a cost

    optimization and decision theory, a loss function or cost function (sometimes also called an error function) is a function that maps an event or values of one

    Loss function

    Loss function

    Loss_function

  • Parallel curve
  • Generalization of the concept of parallel lines

    S_{d}^{-1}=S^{-1}+S_{n}^{-1}} . Bump mapping Channel surface Distance function and signed distance function Distance field Offset printing Tubular neighborhood Willson

    Parallel curve

    Parallel curve

    Parallel_curve

  • Support function
  • Distance from origin of tangent hyperplanes

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

    Support function

    Support_function

  • Likelihood function
  • Function related to statistics and probability theory

    A likelihood function (often simply called the likelihood) measures how well a statistical model explains observed data by calculating the probability

    Likelihood function

    Likelihood_function

  • Calculus
  • Branch of mathematics

    steady 50 mph for 3 hours results in a total distance of 150 miles. Plotting the velocity as a function of time yields a rectangle with a height equal

    Calculus

    Calculus

  • Gaussian function
  • Mathematical function

    In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the base form f ( x ) = exp ⁡ ( − x 2 ) {\displaystyle f(x)=\exp(-x^{2})}

    Gaussian function

    Gaussian_function

  • Covariance matrix
  • Measure of covariance of components of a random vector

    functions, the map shows statistical relations between different regions of the random functions. Statistically independent regions of the functions show

    Covariance matrix

    Covariance matrix

    Covariance_matrix

  • Euclidean distance
  • Length of a line segment

    given distance from a given point) as its neighborhoods. Other common distances in real coordinate spaces and function spaces: Chebyshev distance (L∞ distance)

    Euclidean distance

    Euclidean distance

    Euclidean_distance

  • P-value
  • Function of the observed sample results

    for instance using Fisher's combined probability test. The p-value is a function of the chosen test statistic T {\displaystyle T} and is therefore a random

    P-value

    P-value

  • Probability distribution
  • Mathematical function for the probability a given outcome occurs in an experiment

    likely different results are. Formally, it is a probability measure: a function that assigns probabilities to events in a way that satisfies the axioms

    Probability distribution

    Probability distribution

    Probability_distribution

  • Viscosity solution
  • Solution to partial differential equation

    known to be the signed distance function to the boundary of the domain. Note also in the previous example, the importance of the sign of F {\displaystyle

    Viscosity solution

    Viscosity_solution

  • Wilcoxon signed-rank test
  • Statistical hypothesis test

    function. SciPy includes an implementation of the Wilcoxon signed-rank test in Python. Accord.NET includes an implementation of the Wilcoxon signed-rank

    Wilcoxon signed-rank test

    Wilcoxon_signed-rank_test

  • Coefficient of variation
  • Relative measure of dispersion expressed as the ratio of standard deviation to the mean

    Standard score Information ratio Omega ratio Sampling (statistics) Variance function Everitt, Brian (1998). The Cambridge Dictionary of Statistics. Cambridge

    Coefficient of variation

    Coefficient_of_variation

  • Trigonometric functions
  • Functions of an angle

    mathematics, the trigonometric functions (also called circular functions, angle functions or goniometric functions) are real functions which relate an angle of

    Trigonometric functions

    Trigonometric functions

    Trigonometric_functions

  • Median absolute deviation
  • Statistical measure of variability

    data set than the standard deviation. In the standard deviation, the distances from the mean are squared, so large deviations are weighted more heavily

    Median absolute deviation

    Median_absolute_deviation

  • Dirac delta function
  • Generalized function whose value is zero everywhere except at zero

    Dirac delta function (or δ {\displaystyle {\boldsymbol {\delta }}} distribution), also known as the unit impulse, is a generalized function on the real

    Dirac delta function

    Dirac delta function

    Dirac_delta_function

  • Absolute value
  • Distance from zero to a number

    numbers (their absolute difference) is the distance between them. The notion of an abstract distance function in mathematics can be seen to be a generalisation

    Absolute value

    Absolute value

    Absolute_value

  • Wasserstein metric
  • Distance function defined between probability distributions

    In mathematics, the Wasserstein distance or Kantorovich–Rubinstein metric is a distance function defined between probability distributions on a given metric

    Wasserstein metric

    Wasserstein_metric

  • Covariance
  • Measure of the joint variability

    Analysis of covariance Autocovariance Covariance function Covariance matrix Covariance operator Distance covariance, or Brownian covariance. Law of total

    Covariance

    Covariance

  • Radial distribution function
  • Description of particle density in statistical mechanics

    (atoms, molecules, colloids, etc.), describes how density varies as a function of distance from a reference particle. If a given particle is taken to be at

    Radial distribution function

    Radial distribution function

    Radial_distribution_function

  • Survival function
  • Probability of survival beyond any specified time

    certain time. The survival function is also known as the survivor function or reliability function. The term reliability function is common in engineering

    Survival function

    Survival_function

  • Signed measure
  • Generalized notion of measure in mathematics

    signed measure is a generalization of the concept of (positive) measure by allowing the set function to take negative values, i.e., to acquire sign.

    Signed measure

    Signed_measure

  • Cross-correlation
  • Covariance and correlation

    processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is also known as

    Cross-correlation

    Cross-correlation

    Cross-correlation

  • Kurtosis
  • Fourth standardized moment in statistics

    type IV family restricted to symmetric densities. The probability density function (PDF) is given by f ( x ; a , m ) = Γ ( m ) a π Γ ( m − 1 / 2 ) [ 1 + (

    Kurtosis

    Kurtosis

  • Variance
  • Statistical measure of how far values spread from their average

    random variable X {\displaystyle X} is discrete with probability mass function x 1 ↦ p 1 , x 2 ↦ p 2 , … , x n ↦ p n {\displaystyle x_{1}\mapsto p_{1}

    Variance

    Variance

    Variance

  • Riemann hypothesis
  • Conjecture on zeros of the zeta function

    Unsolved problem in mathematics Do all non-trivial zeros of the Riemann zeta function have a real part equal to one half? More unsolved problems in mathematics

    Riemann hypothesis

    Riemann hypothesis

    Riemann_hypothesis

  • Kolmogorov–Smirnov test
  • Statistical test comparing two probability distributions

    statistic quantifies a distance between the empirical distribution function of the sample and the cumulative distribution function of the reference distribution

    Kolmogorov–Smirnov test

    Kolmogorov–Smirnov test

    Kolmogorov–Smirnov_test

  • Homoscedasticity and heteroscedasticity
  • Statistical property

    as GLS can exhibit strong bias in small samples if the actual skedastic function is unknown. Because heteroscedasticity concerns expectations of the second

    Homoscedasticity and heteroscedasticity

    Homoscedasticity and heteroscedasticity

    Homoscedasticity_and_heteroscedasticity

  • Skewness
  • Measure of the asymmetry of random variables

    } where Q is the quantile function (i.e., the inverse of the cumulative distribution function). The numerator is difference between the

    Skewness

    Skewness

  • Limit (mathematics)
  • Value approached by a mathematical object

    {\displaystyle x_{i}} are real, an example of a suitable distance function is the Euclidean distance, defined by d ( x , y ) = ‖ x − y ‖ = ∑ i ( x i − y i

    Limit (mathematics)

    Limit_(mathematics)

  • Divergence (statistics)
  • Function that measures dissimilarity between two probability distributions

    information geometry, a divergence is a kind of statistical distance: a binary function which establishes the separation from one probability distribution

    Divergence (statistics)

    Divergence_(statistics)

  • List of computer graphics and descriptive geometry topics
  • Self-shadowing Shader Shading Shading language Shadow mapping Shadow volume Signed distance function Simplex noise Simulation noise Skeletal animation Slab method Soft-body

    List of computer graphics and descriptive geometry topics

    List_of_computer_graphics_and_descriptive_geometry_topics

  • Robust statistics
  • Type of statistics

    breakdown point and the influence function described below. The practical effect of problems seen in the influence function can be studied empirically by

    Robust statistics

    Robust_statistics

  • Wavelet
  • Function for integral Fourier-like transform

    shifts of one generating function ψ in L2(R), the mother wavelet. For the example of the scale one frequency band [1, 2] this function is ψ ( t ) = 2 sinc

    Wavelet

    Wavelet

    Wavelet

  • Spearman's rank correlation coefficient
  • Nonparametric measure of rank correlation

    relationship between two variables can be described using a monotonic function. The Spearman correlation between two variables is equal to the Pearson

    Spearman's rank correlation coefficient

    Spearman's rank correlation coefficient

    Spearman's_rank_correlation_coefficient

  • Gradient vector flow
  • Computer vision framework

    wavefront, which defines an additional speed function. Accordingly, then the evolution of the signed distance function ϕ t ( x ) {\displaystyle \textstyle \phi

    Gradient vector flow

    Gradient vector flow

    Gradient_vector_flow

  • Central limit theorem
  • Fundamental theorem in probability theory and statistics

    characteristic functions of a number of density functions becomes close to the characteristic function of the normal density as the number of density functions increases

    Central limit theorem

    Central limit theorem

    Central_limit_theorem

  • Cross-validation (statistics)
  • Statistical model validation technique

    vector xi are denoted xi1, ..., xip. If least squares is used to fit a function in the form of a hyperplane ŷ = a + βTx to the data (xi, yi) 1 ≤ i ≤ n

    Cross-validation (statistics)

    Cross-validation (statistics)

    Cross-validation_(statistics)

  • Braking distance
  • Physics concept relating to automobiles

    conditions, or when the driver's cognitive function is superior or deficient. To determine actual total stopping distance, one would typically empirically obtain

    Braking distance

    Braking distance

    Braking_distance

  • Limit of a function
  • Point to which functions converge in analysis

    mathematics, the limit of a function is a fundamental concept in calculus and analysis concerning the behavior of that function near a particular input which

    Limit of a function

    Limit_of_a_function

  • Moment (mathematics)
  • In mathematics, a quantitative measure of the shape of a set of points

    Moments of a function in mathematics are certain quantitative measures related to the shape of the function's graph. For example, if the function represents

    Moment (mathematics)

    Moment_(mathematics)

  • Cramér's V
  • Statistical measure of association

    the function cramerV() from the package rcompanion calculates V using the chisq.test function from the stats package. In contrast to the function cramersV()

    Cramér's V

    Cramér's_V

  • Survival analysis
  • Branch of statistics

    of members of a group Life tables Kaplan–Meier curves Survival function Hazard function To compare the survival times of two or more groups Log-rank test

    Survival analysis

    Survival_analysis

  • Arithmetic mean
  • Type of average of a collection of numbers

    and redefine the difference as a modular distance (i.e. the distance on the circle: so the modular distance between 1° and 359° is 2°, not 358°). The

    Arithmetic mean

    Arithmetic_mean

  • Random variable
  • Variable representing a random phenomenon

    refers to neither randomness nor variability but instead is a mathematical function in which the domain is the set of possible outcomes in a sample space (e

    Random variable

    Random variable

    Random_variable

  • Interquartile range
  • Measure of statistical dispersion

    calculated by integrating the probability density function (which yields the cumulative distribution function—any other means of calculating the CDF will also

    Interquartile range

    Interquartile range

    Interquartile_range

  • Monte Carlo method
  • Probabilistic problem-solving algorithm

    that produces the best evaluation function at the end. In the traveling salesman problem the goal is to minimize distance traveled. There are also applications

    Monte Carlo method

    Monte Carlo method

    Monte_Carlo_method

  • Exponential smoothing
  • Generates a forecast of future values of a time series

    exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign

    Exponential smoothing

    Exponential_smoothing

  • Road signs in France
  • their function. France is a signatory to the 1968 Vienna Convention on Road Signs and Signals. France signed the Vienna Convention on Road Signs and Signals

    Road signs in France

    Road signs in France

    Road_signs_in_France

  • Mode (statistics)
  • Value that appears most often in a set of data

    random variable, the mode is the value x at which the probability mass function P(X) takes its maximum value, i.e., x = argmaxxi P(X = xi). In other words

    Mode (statistics)

    Mode_(statistics)

  • Receiver operating characteristic
  • Diagnostic plot of binary classifier ability

    The ROC can also be thought of as a plot of the statistical power as a function of the Type I Error of the decision rule (when the performance is calculated

    Receiver operating characteristic

    Receiver operating characteristic

    Receiver_operating_characteristic

  • Distance measure
  • Cosmological formulas for expanding universe

    Distance measures are used in physical cosmology to generalize the concept of distance between two objects or events in an expanding universe. They may

    Distance measure

    Distance measure

    Distance_measure

  • Autocorrelation
  • Correlation of a signal with a time-shifted copy of itself, as a function of shift

    Pearson correlation between values of the process at different times, as a function of the two times or of the time lag. Let { X t } {\displaystyle \left\{X_{t}\right\}}

    Autocorrelation

    Autocorrelation

    Autocorrelation

  • Riemann zeta function
  • Analytic function in mathematics

    The Riemann zeta function or Euler–Riemann zeta function, denoted by the lowercase Greek letter ζ (zeta), is a mathematical function of a complex variable

    Riemann zeta function

    Riemann zeta function

    Riemann_zeta_function

  • Polynomial regression
  • Statistics concept

    statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the

    Polynomial regression

    Polynomial regression

    Polynomial_regression

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

    Nonparametric tests used on two dependent samples are the sign test and the Wilcoxon signed-rank test. Henry Mann and Donald Ransom Whitney developed

    Mann–Whitney U test

    Mann–Whitney_U_test

  • Multivariate normal distribution
  • Generalization of the one-dimensional normal distribution to higher dimensions

    Mahalanobis distance r {\displaystyle r} from the Gaussian, a direct generalization of the standard deviation. In order to compute the values of this function, closed

    Multivariate normal distribution

    Multivariate normal distribution

    Multivariate_normal_distribution

  • Continuous function
  • Mathematical function with no sudden changes

    a continuous function is a function such that a small variation of the argument induces a small variation of the value of the function. This implies

    Continuous function

    Continuous_function

  • ShapeJS
  • Programming language for creating 3D printable products

    modifications while modifying the script. ShapeJS uses a combination of signed distance functions and voxel representations. A voxel is similar to a 2D pixel but

    ShapeJS

    ShapeJS

  • Taylor series
  • Mathematical approximation of a function

    of a function is an infinite sum of terms that are expressed in terms of the function's derivatives at a single point. For most common functions, the

    Taylor series

    Taylor series

    Taylor_series

  • Median
  • Middle quantile of a data set or probability distribution

    point or an empty set). Every convex function is a C function, but the reverse does not hold. If f is a C function, then f ( med ⁡ [ X ] ) ≤ med ⁡ [ f

    Median

    Median

    Median

  • Minimum-distance estimation
  • Method for fitting a statistical model to data

    measure of "distance" between its two arguments. The functional d {\displaystyle \displaystyle d} is also called the criterion function. If there exists

    Minimum-distance estimation

    Minimum-distance_estimation

  • Fisher transformation
  • Statistical transformation

    (r),} where "ln" is the natural logarithm function and "artanh" is the inverse hyperbolic tangent function. If (X, Y) has a bivariate normal distribution

    Fisher transformation

    Fisher transformation

    Fisher_transformation

  • Likelihood-ratio test
  • Statistical test that compares goodness of fit

    }{\mathcal {L}}(\theta )\,\right]} is the logarithm of the maximized likelihood function L {\displaystyle {\mathcal {L}}} , and ℓ ( θ 0 ) {\displaystyle \ell (\theta

    Likelihood-ratio test

    Likelihood-ratio_test

  • Empirical distribution function
  • Distribution function associated with the empirical measure of a sample

    an empirical distribution function (a.k.a. an empirical cumulative distribution function, eCDF) is the distribution function associated with the empirical

    Empirical distribution function

    Empirical distribution function

    Empirical_distribution_function

  • Lambert W function
  • Multivalued function in mathematics

    In mathematics, the Lambert W function, also called the omega function or product logarithm, is a multivalued function, namely the branches of the converse

    Lambert W function

    Lambert W function

    Lambert_W_function

  • F-test
  • Statistical hypothesis test

    desired false-rejection probability (e.g. 0.05). Since F is a monotone function of the likelihood ratio statistic, the F-test is a likelihood ratio test

    F-test

    F-test

    F-test

  • Box plot
  • Data visualization

    observed data point from the dataset that falls within this distance. Similarly, a distance of 1.5 times the IQR is measured out below the lower quartile

    Box plot

    Box plot

    Box_plot

  • Latin hypercube sampling
  • Statistical sampling technique

    only one in each axis-aligned hyperplane containing it. When sampling a function of N {\displaystyle N} variables, the range of each variable is divided

    Latin hypercube sampling

    Latin_hypercube_sampling

  • Linear regression
  • Statistical modeling method

    of the explanatory variables (or predictors) is assumed to be an affine function of those values; less commonly, the conditional median or some other quantile

    Linear regression

    Linear_regression

  • Optical transfer function
  • Characteristic of an optical system

    This function is sometimes referred to as the edge spread function (ESF). However, the values on this line are inversely proportional to the distance from

    Optical transfer function

    Optical transfer function

    Optical_transfer_function

  • Power (statistics)
  • Term in statistical hypothesis testing

    exists using a given test in a given context. In typical use, it is a function of the specific test that is used (including the choice of test statistic

    Power (statistics)

    Power_(statistics)

  • Logistic regression
  • Statistical model for a binary dependent variable

    the value "1"), hence the labeling; the function that converts log-odds to probability is the logistic function, hence the name. The unit of measurement

    Logistic regression

    Logistic regression

    Logistic_regression

  • Kaplan–Meier estimator
  • Non-parametric statistic used to estimate the survival function

    estimator, is a non-parametric statistic used to estimate the survival function from lifetime data. In medical research, it is often used to measure the

    Kaplan–Meier estimator

    Kaplan–Meier estimator

    Kaplan–Meier_estimator

  • Histogram
  • Graphical representation of the distribution of numerical data

    and often for density estimation: estimating the probability density function of the underlying variable. The total area of a histogram used for probability

    Histogram

    Histogram

    Histogram

  • List of mathematical functions
  • Absolute value: distance to the origin (zero point) Sigma function: Sums of powers of divisors of a given natural number. Euler's totient function: Number of

    List of mathematical functions

    List_of_mathematical_functions

  • Correlation
  • Statistical relationship

    variables (which in turn may be present even when one variable is a nonlinear function of the other). Other correlation coefficients, such as Spearman's rank

    Correlation

    Correlation

    Correlation

  • Time series
  • Sequence of data points over time

    the autocorrelation function and the spectral density function (also cross-correlation functions and cross-spectral density functions) Scaled cross- and

    Time series

    Time series

    Time_series

  • McNemar's test
  • Statistical test used on paired nominal data

    is the binomial distribution probability mass function and n = b + c. Binomial distribution functions are readily available in common software packages

    McNemar's test

    McNemar's_test

  • Confidence interval
  • Range to estimate an unknown parameter

    a Bayesian alternative for interval estimation Cumulative distribution function-based nonparametric confidence interval – Class of confidence intervals

    Confidence interval

    Confidence interval

    Confidence_interval

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Online names & meanings

  • Janyl
  • Boy/Male

    British, English

    Janyl

    Blend of Jar and Darell

  • Mubasshar
  • Boy/Male

    Arabic, Muslim

    Mubasshar

    Good News Bringer

  • Popson
  • Surname or Lastname

    English

    Popson

    English : unexplained.

  • Joyti
  • Girl/Female

    Indian, Marathi

    Joyti

    Joy; Light

  • Suryadev
  • Boy/Male

    Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu

    Suryadev

    Sun God

  • THANH
  • Female

    Vietnamese

    THANH

    Vietnamese unisex name THANH means "achieved, intelligent."

  • Saph
  • Biblical

    Saph

    rushes; sea-moss

  • Chetal
  • Girl/Female

    Hindu, Indian

    Chetal

    Cold; Angel; Having Life

  • Gangesh
  • Boy/Male

    Hindu

    Gangesh

    Lord Shiva, Lord of Ganga

  • Thatcher
  • Surname or Lastname

    English

    Thatcher

    English : occupational name for a thatcher, someone who covered roofs in straw, from an agent derivative of Middle English thach(en) ‘to thatch’ (Old English þæccan ‘to cover or roof’).

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SIGNED DISTANCE-FUNCTION

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Other words and meanings similar to

SIGNED DISTANCE-FUNCTION

AI search in online dictionary sources & meanings containing SIGNED DISTANCE-FUNCTION

SIGNED DISTANCE-FUNCTION

  • Distance
  • n.

    Remoteness in succession or relation; as, the distance between a descendant and his ancestor.

  • Singed
  • imp. & p. p.

    of Singe

  • Distant
  • a.

    Separated; having an intervening space; at a distance; away.

  • Distanced
  • imp. & p. p.

    of Distance

  • Signeted
  • a.

    Stamped or marked with a signet.

  • Signer
  • n.

    One who signs or subscribes his name; as, a memorial with a hundred signers.

  • Distance
  • n.

    The interval between two notes; as, the distance of a fourth or seventh.

  • Tinct
  • a.

    Tined; tinged.

  • Sinner
  • n.

    One who has sinned; especially, one who has sinned without repenting; hence, a persistent and incorrigible transgressor; one condemned by the law of God.

  • Distant
  • a.

    Indistinct; faint; obscure, as from distance.

  • Distance
  • v. t.

    To cause to appear as if at a distance; to make seem remote.

  • Signed
  • imp. & p. p.

    of Sign

  • Distance
  • v. t.

    To outstrip by as much as a distance (see Distance, n., 3); to leave far behind; to surpass greatly.

  • Signal
  • a.

    Noticeable; distinguished from what is ordinary; eminent; remarkable; memorable; as, a signal exploit; a signal service; a signal act of benevolence.

  • Signet
  • n.

    A seal; especially, in England, the seal used by the sovereign in sealing private letters and grants that pass by bill under the sign manual; -- called also privy signet.

  • Sinner
  • v. i.

    To act as a sinner.

  • Singer
  • n.

    One who, or that which, singes.

  • Distance
  • v. t.

    To place at a distance or remotely.

  • Sighted
  • a.

    Having sight, or seeing, in a particular manner; -- used in composition; as, long-sighted, short-sighted, quick-sighted, sharp-sighted, and the like.

  • Distancy
  • n.

    Distance.