Hermite interpolation

E502191

Hermite interpolation is a numerical analysis method for constructing a polynomial that matches both function values and specified derivatives at given data points.

Try in SPARQL Jump to: Surface forms Statements Referenced by

Observed surface forms (1)

Surface form Occurrences
Hermite spline 1

Statements (49)

Predicate Object
instanceOf interpolation method
numerical analysis method
polynomial interpolation
advantage can achieve higher accuracy with fewer nodes than Lagrange interpolation
incorporates derivative information to improve approximation quality
application computer graphics
curve design
data fitting with derivative information
numerical solution of differential equations
appliesTo complex-valued functions
real-valued functions
assumes function is sufficiently differentiable at interpolation points
canBeExtendedTo Hermite splines NERFINISHED
piecewise Hermite interpolation
canBeFormulatedAs Hermite interpolation polynomial in Lagrange-like form
Hermite interpolation polynomial in Newton form
comparedTo Lagrange interpolation in terms of error behavior
ensuresAtNodes equality of function values
equality of specified derivatives up to given order
field approximation theory
numerical analysis
generalizes Lagrange interpolation
goal construct a polynomial that matches function values at given points
construct a polynomial that matches specified derivatives at given points
hasConcept Hermite basis polynomials NERFINISHED
hasErrorTerm error expressed using higher-order derivative of the function
hasSpecialCase cubic Hermite interpolation
input data points with derivative values
data points with function values
isTaughtIn approximation theory courses
undergraduate numerical analysis courses
limitation construction cost increases with number of derivatives
requires derivative values at interpolation points
mathematicalNature local polynomial approximation around multiple points
namedAfter Charles Hermite NERFINISHED
output interpolating polynomial
property interpolating polynomial is unique for given data and derivative conditions
relatedTo Lagrange interpolation
Taylor polynomial
cubic Hermite spline
spline interpolation
requires solution of linear system for polynomial coefficients in some formulations
typicalOrder depends on number of points and derivative conditions
usedIn finite element methods
geometric modeling
keyframe animation
uses divided differences
polynomials
repeated nodes in divided differences

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Charles Hermite knownFor Hermite interpolation
Catmull–Rom spline relatedTo Hermite interpolation
this entity surface form: Hermite spline