Title
Using Markov's interval arithmetic to evaluate Bessel-Ricatti functions
Abstract
This paper deals with the application of interval arithmetic to Bessel-Ricatti functions. The extended interval arithmetic we have used is due to Markov and involves a check on monotonicity of functions in an attempt to try and get sharper bounds on computed intervals. The results we obtain are compared with those from Hansen's methods (based on bounding the Taylor series remainder) and those from Moore's technique of subdividing intervals. Two techniques are considered for evaluating derivatives of functions — one uses hand-coded derivatives and the other uses automatic differentiation. Numerical results are given, using Fortran 90 implementations of interval and automatic differentiation arithmetic.
Year
DOI
Venue
1995
10.1007/BF02140772
Numerical Algorithms
Keywords
Field
DocType
Taylor Series,Sharp Bound,Interval Arithmetic,Automatic Differentiation,Compute Interval
Mathematical optimization,Algebra,Mathematical analysis,Affine arithmetic,Arbitrary-precision arithmetic,Markov chain,Remainder,Automatic differentiation,Interval arithmetic,Mathematics,Bessel function,Taylor series
Journal
Volume
Issue
Citations 
10
2
1
PageRank 
References 
Authors
1.30
0
2
Name
Order
Citations
PageRank
M. C. Bartholomew-Biggs1518.36
S. Žaković2328.91