
doi: 10.1137/0710052
Approximations to an isolated solution of an mth order nonlinear ordinary differential equation with m linear side conditions are determined. These approximations are piecewise polynomial functions of order $m + k$ (degree less than $m + k$) possessing $m - 1$ continuous derivatives. They are determined by collocation, i.e., by the requirement that they satisfy the differential equation at k points in each subinterval, together with the m side conditions. If the solution of the sufficiently smooth differential equation problem has $m + 2k$ continuous derivatives and if the collocation points are the zeroes of the kth Legendre polynomial relative to each subinterval, then the global error in these approximations is $O(| \Delta |^{m + k} )$ with $| \Delta |$ the maximum subinterval length. Moreover, at the ends of each subinterval, the approximation and its first $m - 1$ derivatives are $O(| \Delta |^{2k} )$ accurate. The solution of the nonlinear collocation equations may itself be approximated by solving ...
Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations
Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 493 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
