The if-problem in automatic differentiation
ICCAM'92 Proceedings of the fifth international conference on Computational and applied mathematics
Automatic Differentiation of Computer Programs
ACM Transactions on Mathematical Software (TOMS)
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
A new exclusion test for finding the global minimum
Journal of Computational and Applied Mathematics
Lipschitz condition for finding real roots of a vector function
Journal of Computational Methods in Sciences and Engineering
Hi-index | 0.00 |
This paper describes an efficient method (O(n)) to evaluate the Lipschitz constant for functions described in some algorithmic language. Considering arithmetical operations as the basis of the algorithmic language and supported by control structures, the rules to evaluate such Lipschitz constants are presented and their correctness is proved. An extension of the method to evaluate Lipschitz constants over interval domains is also presented. Examples are presented, but the effectiveness of the method is doubtful when compared to other approaches, and effective enhancements based on slope evaluations are also explored.