Abstract

We first present a generalized class of binary interpolating refinement schemes and their properties. Then the refinement-schemes-based unified algorithms for the solution of certain nth order linear and nonlinear differential equations with a set of constraints are presented. Moreover, several algorithms based on the refinement schemes for solving differential equations are the special cases of our algorithms.

Highlights

  • The refinement schemes, known as subdivision schemes, are efficient tools for the modeling of curves

  • We present generalized algorithms based on generalized refinement schemes for the nth order linear and nonlinear differential equations (DEs)

  • All the subdivision-based algorithms are restructured by substituting the suitable values of n and m in generalized algorithms for the solution of the nth order linear and nonlinear differential equations with a set of constraints

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Summary

Introduction

The refinement schemes, known as subdivision schemes, are efficient tools for the modeling of curves. In 1996, initially, Qu and Agarwal [2] presented a refinement-scheme-based algorithm for the second-order linear differential equations (DEs). 3.1 Generalized algorithm for the nth order linear DEs we construct the refinement-scheme-based algorithm for the nth order linear DEs. Let the solution of (3) be. 3.2 Generalized algorithm for the nth order nonlinear DEs In this subsection, we construct the refinement-scheme-based algorithm for the nth order nonlinear DEs. Let the solution of (4) be GNL(t) =.

The left end imposed constraints
Existence of the solution
The special cases of our algorithms based on approximating schemes
Conclusion
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