SettingsInterpolation
Abel-Goncharov interpolation
In mathematics, Abel–Goncharov interpolation determines a polynomial such that various higher derivatives are the same as those of a given function at given points.
In mathematics, Abel–Goncharov interpolation determines a polynomial such that various higher derivatives are the same as those of a given function at given points.
B-spline
In the computer science subfields of computer-aided design and computer graphics, the term B-spline frequently refers to a spline curve parametrized by spline functions that are expressed as lin...
In the computer science subfields of computer-aided design and computer graphics, the term B-spline frequently refers to a spline curve parametrized by spline functions that are expressed as lin...
Barnes interpolation
Barnes interpolation, named after Stanley L. Barnes, is the interpolation of unstructured data points from a set of measurements of an unknown function in two dimensions into an analytic functio...
Barnes interpolation, named after Stanley L. Barnes, is the interpolation of unstructured data points from a set of measurements of an unknown function in two dimensions into an analytic functio...
Birkhoff interpolation
In mathematics, Birkhoff interpolation is an extension of polynomial interpolation.
In mathematics, Birkhoff interpolation is an extension of polynomial interpolation.
Bézier curve
A Bézier curve is a parametric curve frequently used in computer graphics and related fields.
A Bézier curve is a parametric curve frequently used in computer graphics and related fields.
Cubic Hermite spline
In the mathematical subfield of numerical analysis a cubic Hermite spline (also called cspline), named in honor of Charles Hermite, is a third-degree spline with each polynomial of the spl...
In the mathematical subfield of numerical analysis a cubic Hermite spline (also called cspline), named in honor of Charles Hermite, is a third-degree spline with each polynomial of the spl...
Curve fitting
Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints.
Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints.
Curve-fitting compaction
Curve-fitting compaction is data compaction accomplished by replacing data to be stored or transmitted with an analytical expression.
Curve-fitting compaction is data compaction accomplished by replacing data to be stored or transmitted with an analytical expression.
De Boor's algorithm
In the mathematical subfield of numerical analysis the de Boor's algorithm is a fast and numerically stable algorithm for evaluating spline curves in B-spline form.
In the mathematical subfield of numerical analysis the de Boor's algorithm is a fast and numerically stable algorithm for evaluating spline curves in B-spline form.
Gal's accurate tables
Gal's accurate tables is a method devised by Shmuel Gal to provide accurate values of special functions using a lookup table and interpolation.
Gal's accurate tables is a method devised by Shmuel Gal to provide accurate values of special functions using a lookup table and interpolation.
Generalized quaternion interpolation
Generalized quaternion interpolation is an interpolation method that extends the quaternion slerp algorithm.
Generalized quaternion interpolation is an interpolation method that extends the quaternion slerp algorithm.
Hermite interpolation
In numerical analysis, Hermite interpolation, named after Charles Hermite, is a method of interpolating data points as a polynomial function.
In numerical analysis, Hermite interpolation, named after Charles Hermite, is a method of interpolating data points as a polynomial function.
Hermite spline
In the mathematical subfield of numerical analysis, a Hermite spline is a spline curve where each polynomial of the spline is in Hermite form.
In the mathematical subfield of numerical analysis, a Hermite spline is a spline curve where each polynomial of the spline is in Hermite form.
Interpolation
In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.
In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.
Interpolation (computer programming)
In the context of computer animation, interpolation refers to inbetweening, or filling in frames between the key frames, in the context of computer animation.
In the context of computer animation, interpolation refers to inbetweening, or filling in frames between the key frames, in the context of computer animation.
Kochanek-Bartels spline
In mathematics, a Kochanek-Bartels spline or Kochanek-Bartels curve is a cubic Hermite spline with tension, bias, and continuity parameters defined to change the behavior of the tangents.
In mathematics, a Kochanek-Bartels spline or Kochanek-Bartels curve is a cubic Hermite spline with tension, bias, and continuity parameters defined to change the behavior of the tangents.
Kochanek–Bartels spline
In mathematics, a Kochanek-Bartels spline or Kochanek-Bartels curve is a cubic Hermite spline with tension, bias, and continuity parameters defined to change the behavior of the tangents.
In mathematics, a Kochanek-Bartels spline or Kochanek-Bartels curve is a cubic Hermite spline with tension, bias, and continuity parameters defined to change the behavior of the tangents.
Kriging
Kriging is a group of geostatistical techniques to interpolate the value of a random field at an unobserved location from observations of its value at nearby locations.
Kriging is a group of geostatistical techniques to interpolate the value of a random field at an unobserved location from observations of its value at nearby locations.
Lagrange polynomial
In numerical analysis, Lagrange polynomials are used for polynomial interpolation.
In numerical analysis, Lagrange polynomials are used for polynomial interpolation.
Lebesgue constant (interpolation)
In mathematics, the Lebesgue constants (depending on a set of nodes and of its size) give an idea of how good the interpolant of a function (at the given nodes) is in comparison with the best po...
In mathematics, the Lebesgue constants (depending on a set of nodes and of its size) give an idea of how good the interpolant of a function (at the given nodes) is in comparison with the best po...
Linear predictive analysis
Linear predictive analysis is a simple form of first-order extrapolation: if it has been changing at this rate then it will probably continue to change at approximately the same rate, at least ...
Linear predictive analysis is a simple form of first-order extrapolation: if it has been changing at this rate then it will probably continue to change at approximately the same rate, at least ...
Markov chain geostatistics
Markov chain geostatistics refer to the Markov chain models, simulation algorithms and associated spatial correlation measures (e.g., transiogram) based on the Markov chain random field theory, ...
Markov chain geostatistics refer to the Markov chain models, simulation algorithms and associated spatial correlation measures (e.g., transiogram) based on the Markov chain random field theory, ...
Monotone cubic interpolation
In the mathematical subfield of numerical analysis, monotone cubic interpolation is a variant of cubic interpolation that preserves monotonicity of the data set being interpolated.
In the mathematical subfield of numerical analysis, monotone cubic interpolation is a variant of cubic interpolation that preserves monotonicity of the data set being interpolated.
Multiple-indicator kriging
Multiple-indicator kriging (MIK) is a recent advance on other techniques for mineral deposit modeling and resource block model estimation, such as ordinary kriging.
Multiple-indicator kriging (MIK) is a recent advance on other techniques for mineral deposit modeling and resource block model estimation, such as ordinary kriging.
Multivariate interpolation
In numerical analysis, multivariate interpolation or spatial interpolation is interpolation on functions of more than one variable.
In numerical analysis, multivariate interpolation or spatial interpolation is interpolation on functions of more than one variable.
Nearest-neighbor interpolation
Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate interpolation in one or more dimensions.
Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate interpolation in one or more dimensions.
Nevanlinna-Pick interpolation
In complex analysis, Nevanlinna–Pick interpolation is the problem of finding a holomorphic function from the unit disc to the unit disc, which takes specified points to specified points.
In complex analysis, Nevanlinna–Pick interpolation is the problem of finding a holomorphic function from the unit disc to the unit disc, which takes specified points to specified points.
Neville's algorithm
In mathematics, Neville's algorithm is an algorithm used for polynomial interpolation that was derived by the mathematician Eric Harold Neville.
In mathematics, Neville's algorithm is an algorithm used for polynomial interpolation that was derived by the mathematician Eric Harold Neville.
Newton polynomial
In the mathematical field of numerical analysis, a Newton polynomial, named after its inventor Isaac Newton, is the interpolation polynomial for a given set of data points in the Newton form.
In the mathematical field of numerical analysis, a Newton polynomial, named after its inventor Isaac Newton, is the interpolation polynomial for a given set of data points in the Newton form.
Non-uniform rational B-spline
Non-uniform rational basis spline (NURBS) is a mathematical model commonly used in computer graphics for generating and representing curves and surfaces which offers great flexibility and...
Non-uniform rational basis spline (NURBS) is a mathematical model commonly used in computer graphics for generating and representing curves and surfaces which offers great flexibility and...
Padua points
In polynomial interpolation of two variables, the Padua points are the first known example (and up to now the only one) of unisolvent point set (that is, the interpolating polynomial is uniq...
In polynomial interpolation of two variables, the Padua points are the first known example (and up to now the only one) of unisolvent point set (that is, the interpolating polynomial is uniq...
Pick matrix
In mathematics, a Pick matrix is a matrix which occurs in the study of interpolation problems for analytic functions.
In mathematics, a Pick matrix is a matrix which occurs in the study of interpolation problems for analytic functions.
Polyharmonic spline
In mathematics, polyharmonic splines are used for function approximation and data interpolation.
In mathematics, polyharmonic splines are used for function approximation and data interpolation.
Polynomial interpolation
In numerical analysis, polynomial interpolation is the interpolation of a given data set by a polynomial: given some points, find a polynomial which goes exactly through these points.
In numerical analysis, polynomial interpolation is the interpolation of a given data set by a polynomial: given some points, find a polynomial which goes exactly through these points.
Radial basis function network
A radial basis function network is an artificial neural network that uses radial basis functions as activation functions.
A radial basis function network is an artificial neural network that uses radial basis functions as activation functions.
Runge's phenomenon
In the mathematical field of numerical analysis, Runge's phenomenon is a problem of oscillation at the edges of an interval that occurs when using polynomial interpolation with polynomials of hi...
In the mathematical field of numerical analysis, Runge's phenomenon is a problem of oscillation at the edges of an interval that occurs when using polynomial interpolation with polynomials of hi...
Simple rational approximation
Simple rational approximation is a subset of interpolating methods using rational functions.
Simple rational approximation is a subset of interpolating methods using rational functions.
Slerp
In computer graphics, Slerp is shorthand for spherical linear interpolation, introduced by Ken Shoemake in the context of quaternion interpolation for the purpose of animating 3D rotation.
In computer graphics, Slerp is shorthand for spherical linear interpolation, introduced by Ken Shoemake in the context of quaternion interpolation for the purpose of animating 3D rotation.
Spline (mathematics)
In mathematics, a spline is a sufficiently smooth polynomial function that is piecewise-defined, and possesses a high degree of smoothness at the places where the polynomial pieces connect.
In mathematics, a spline is a sufficiently smooth polynomial function that is piecewise-defined, and possesses a high degree of smoothness at the places where the polynomial pieces connect.
Spline interpolation
In the mathematical field of numerical analysis, spline interpolation is a form of interpolation where the interpolant is a special type of piecewise polynomial called a spline.
In the mathematical field of numerical analysis, spline interpolation is a form of interpolation where the interpolant is a special type of piecewise polynomial called a spline.
Transfinite interpolation
In numerical analysis, transfinite interpolation is a means to construct functions over a planar domain in such a way that they match a given function on the boundary.
In numerical analysis, transfinite interpolation is a means to construct functions over a planar domain in such a way that they match a given function on the boundary.
Transiogram
Transiogram is the accompanying spatial correlation measure of Markov chain random fields and an important part of Markov chain geostatistics.
Transiogram is the accompanying spatial correlation measure of Markov chain random fields and an important part of Markov chain geostatistics.
Trigonometric interpolation
In mathematics, trigonometric interpolation is interpolation with trigonometric polynomials.
In mathematics, trigonometric interpolation is interpolation with trigonometric polynomials.