
doi: 10.1145/1271.1631
Summary: DAFNE is a set of FORTRAN subprograms for solving nonlinear equations that implements a method founded on the numerical solution of a Cauchy problem for a system of ordinary differential equations inspired by classical mechanics. This paper gives a detailed description of the method as implemented in DAFNE and reports on the numerical tests that have been performed; the DAFNE package is described in the accompanying algorithm. The main conclusions are that DAFNE improves in different substantial respects upon a previous FORTRAN implementation of the same method, and compares favorably with existing software. [The algorithm DAFNE: A differential-equations algorithm for nonlinear equations. ibid. 10, 317-324 (1984).]
Software, source code, etc. for problems pertaining to field theory, FORTRAN subprograms, Numerical computation of solutions to systems of equations, differential-equations algorithm, iterative methods, DAFNE, Numerical methods for initial value problems involving ordinary differential equations
Software, source code, etc. for problems pertaining to field theory, FORTRAN subprograms, Numerical computation of solutions to systems of equations, differential-equations algorithm, iterative methods, DAFNE, Numerical methods for initial value problems involving 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). | 22 | |
| 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 10% | |
| 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 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
