Name
Abstract | ||
|---|---|---|
Earlier work on interactive graphical approximation of data using linear programming has now been extended to ordinary differential equation multipoint boundary value problems. The approximation is obtained using a suitable spline basis where the degree and uniform knot size is specified by the user. The coefficients of the spline basis are determined so as to minimize the maximum error in the differential equation over a specified discrete grid. |
Year | DOI | Venue |
|---|---|---|
1971 | 10.1145/800184.810516 | ACM '71 Proceedings of the 1971 26th annual conference |
Keywords | DocType | Citations |
spline functions,differential equation,uniform knot size,linear programming,boundary value problems,spline basis,interactive graphical display,suitable spline basis,data fitting,interactive graphical spline approximation,ordinary differential equations,maximum error,approximation,functional approximation,ordinary differential equation multipoint,specified discrete grid,boundary value problem,interactive graphical approximation,linear program,spline function,function approximation,ordinary differential equation | Conference | 1 |
PageRank | References | Authors |
0.41 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. B. Rosen | 1 | 54 | 12.00 |
| Paul S. LaFata | 2 | 1 | 0.41 |