A Systematized Collection of Codes for Solving Two-Point Boundary-Value Problems
作者： M.R. Scott , H.A. Watts
DOI: 10.1016/B978-0-12-436640-4.50016-2
关键词: Linear independence 、 Finite difference method 、 Mathematical optimization 、 Mathematics 、 Boundary value problem 、 Sample (statistics) 、 Process (engineering) 、 Set (abstract data type) 、 Algebra 、 Superposition principle 、 Selection (relational algebra)
摘要: This chapter focuses on a systematized collection of codes for solving two-point boundary-value problems. It describes only those that are presently available or nearing completion. These consist entirely procedures which utilize initial-value methods. Among these an orthonormalization procedure, invariant imbedding algorithm, and several versions shooting. The points introduced the purpose maintaining numerical linear independence solutions in superposition process and, few ways, roughly correspond to selection shooting points. also discusses methods being considered problem. used presents results obtained by set sample performances example
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