A numerical method for solving two-point boundary value problems for nonlinear ordinary differential equations

1980 ◽  
Vol 15 (3) ◽  
pp. 464-469 ◽  
Author(s):  
R. P. Tewarson
Keyword(s):  
Differential Equations ◽  
Ordinary Differential Equations ◽  
Boundary Value Problems ◽  
Numerical Method ◽  
Boundary Value ◽  
Nonlinear Ordinary Differential Equations ◽  
Point Boundary

scholarly journals ON THREE-POINT BOUNDARY VALUE PROBLEM

2016 ◽  
Vol 21 (2) ◽  
pp. 270-281
Author(s):  
Nadezhda Sveikate
Keyword(s):  
Differential Equations ◽  
Boundary Value Problem ◽  
Ordinary Differential Equations ◽  
Boundary Value Problems ◽  
Existence Of Solutions ◽  
Boundary Value ◽  
Second Order ◽  
Nonlinear Ordinary Differential Equations ◽  
Point Boundary

Three-point boundary value problems for the second order nonlinear ordinary differential equations are considered. Existence of solutions are established by using the quasilinearization approach. As an application, the Emden-Fowler type problems with nonresonant and resonant linear parts are considered to demonstrate our results.

Boundary-Value Problems for Third-Order Lipschitz Ordinary Differential Equations

2014 ◽  
Vol 58 (1) ◽  
pp. 183-197 ◽  
Author(s):  
John R. Graef ◽  
Johnny Henderson ◽  
Rodrica Luca ◽  
Yu Tian
Keyword(s):  
Differential Equation ◽  
Differential Equations ◽  
Ordinary Differential Equations ◽  
Boundary Value Problems ◽  
Order Differential Equation ◽  
Boundary Value ◽  
Point Boundary ◽  
Third Order ◽  
Optimal Length ◽  
The Third

AbstractFor the third-order differential equationy′″ = ƒ(t, y, y′, y″), where, questions involving ‘uniqueness implies uniqueness’, ‘uniqueness implies existence’ and ‘optimal length subintervals of (a, b) on which solutions are unique’ are studied for a class of two-point boundary-value problems.

A Steepest-Ascent Method for Solving Optimum Programming Problems

1962 ◽  
Vol 29 (2) ◽  
pp. 247-257 ◽  
Author(s):  
A. E. Bryson ◽  
W. F. Denham
Keyword(s):  
Differential Equations ◽  
Ordinary Differential Equations ◽  
Boundary Value Problems ◽  
Calculus Of Variations ◽  
Numerical Procedure ◽  
Nonlinear Ordinary Differential Equations ◽  
Point Boundary ◽  
Numerical Examples ◽  
Steepest Ascent ◽  
Maximum Range

A systematic and rapid steepest-ascent numerical procedure is described for solving two-point boundary-value problems in the calculus of variations for systems governed by a set of nonlinear ordinary differential equations. Numerical examples are presented for minimum time-to-climb and maximum altitude paths for a supersonic interceptor and maximum-range paths for an orbital glider.

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