A set of symmetric, closed, interpolatory integration formulas on the interval [-1, 1] with positive weights and increasing degree of precision is introduced. These formulas, called recursive monotone stable (RMS) formulas, allow applying higher order or compound rules without wasting previously computed functional values. An exhaustive search shows the existence of 27 families of RMS formulas, stemming from the simple trapezoidal rule.

Interpolatory integration formulas for optimal composition

Favati P;
1991

Abstract

A set of symmetric, closed, interpolatory integration formulas on the interval [-1, 1] with positive weights and increasing degree of precision is introduced. These formulas, called recursive monotone stable (RMS) formulas, allow applying higher order or compound rules without wasting previously computed functional values. An exhaustive search shows the existence of 27 families of RMS formulas, stemming from the simple trapezoidal rule.
1991
Istituto di informatica e telematica - IIT
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
17
2
207
217
https://dl.acm.org/doi/abs/10.1145/108556.108571
Algorithms
Integration
Interpolatory quadrature
Program testing
cod. PuMa: /cnr.iei/1991-A0-016
3
info:eu-repo/semantics/article
262
Favati, P; Lotti, G; Romani, F
01 Contributo su Rivista::01.01 Articolo in rivista
restricted
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/451313
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