Newton interpolation polynomial

E620656

The Newton interpolation polynomial is a form of the interpolating polynomial that uses divided differences and a nested (incremental) structure, making it efficient to update when new data points are added.

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Statements (47)

Predicate Object
instanceOf interpolating polynomial
mathematical concept
numerical analysis method
advantage can be evaluated efficiently using nested multiplication
easier to update when adding new interpolation points
reuses previously computed divided differences
appliesTo distinct interpolation nodes
basedOn divided differences
coefficientComputedBy first-order divided differences
higher-order divided differences
coefficientNotation f[x_0, x_1, ..., x_k]
f[x_0]
coefficientNotation f[x_0, x_1]
degree at most n for n+1 data points
domain complex-valued functions
real-valued functions
errorDependsOn (n+1)th derivative of the interpolated function
product (x - x_0)...(x - x_n)
evaluatedBy Horner-like scheme
hasAdvantageOver Lagrange interpolation polynomial NERFINISHED
hasCharacteristic efficiently updatable with new data points
incremental structure
nested form
numerically stable for well-ordered nodes
suitable for sequential data insertion
hasComponent Newton basis polynomials NERFINISHED
divided difference coefficients
hasForm p(x) = a_0 + a_1(x - x_0) + a_2(x - x_0)(x - x_1) + ... + a_n(x - x_0)...(x - x_{n-1})
hasVariant Newton backward interpolation formula NERFINISHED
Newton forward interpolation formula NERFINISHED
namedAfter Isaac Newton NERFINISHED
relatedTo Hermite interpolation NERFINISHED
Lagrange interpolation polynomial NERFINISHED
finite difference methods
satisfiesProperty passes through all given data points
unique interpolating polynomial for given nodes and values
taughtIn approximation theory courses
numerical analysis courses
usedFor approximating functions from discrete data
constructing an interpolating polynomial through given data points
polynomial interpolation
usedIn computer graphics
data fitting
engineering approximation problems
scientific computing
usesSequence function values f(x_0), f(x_1), ..., f(x_n)
nodes x_0, x_1, ..., x_n

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Lagrange interpolation polynomial relatedTo Newton interpolation polynomial