Nonlinear Spline Functions

Abstract

A mathematical characterization of nonlinear interpolating spline curves is developed through a variational calculus approach, based on the Euler- Bernoulli large-deflection theory for the bending of thin beams or elastica. Algorithms previously used for computing discrete approximations of nonlinear interpolating splines are discussed and compared. The discrete natural cubic interpolating spline is discussed. An algorithm for computing discrete natural cubic splines is given and analyzed for discretization error and computational difficulty. Finally, a new algorithm together with its FORTRAN implementation is given for computing discrete nonlinear spline functions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1973
Accession Number
AD0767970

Entities

People

  • Michael A. Malcolm

Organizations

  • Stanford University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Boundary Value Problems
  • Calculus
  • Calculus Of Variations
  • Cartesian Coordinates
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Computer Programs
  • Computer Science
  • Computers
  • Difference Equations
  • Differential Equations
  • Elastic Properties
  • Equations
  • Euler Equations
  • Linear Systems

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Mechanical Engineering/Mechanics of Materials.