Some tests of generalized bisection
ACM Transactions on Mathematical Software (TOMS)
Preconditioners for the interval Gauss-Seidel method
SIAM Journal on Numerical Analysis
Distribution of mathematical software via electronic mail
ACM SIGNUM Newsletter
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
Algorithm 737: INTLIB—a portable Fortran 77 interval standard-function library
ACM Transactions on Mathematical Software (TOMS)
ACM Transactions on Mathematical Software (TOMS)
Proceedings of the 2005 ACM symposium on Applied computing
FILIB++, a fast interval library supporting containment computations
ACM Transactions on Mathematical Software (TOMS)
Efficient interval partitioning-Local search collaboration for constraint satisfaction
Computers and Operations Research
Efficient interval partitioning for constrained global optimization
Journal of Global Optimization
MAMECTIS'08 Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Design strategy of serial manipulators with certified constraint satisfaction
IEEE Transactions on Robotics
Interval Analysis for Certified Numerical Solution of Problems in Robotics
International Journal of Applied Mathematics and Computer Science - Verified Methods: Applications in Medicine and Engineering
Filtering numerical CSPs using well-constrained subsystems
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
Adaptive bisection of numerical CSPs
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
Hi-index | 0.00 |
We present a portable software package for finding all real roots of a system of nonlinear equations within a region defined by bounds on the variables. Where practical, the package should find all roots with mathematical certainty. Though based on interval Newton methods, it is self-contained. It allows various control and output options and does not require programming if the equations are polynomials; it is structured for further algorithmic research. Its practicality does not depend in a simple way on the dimension of the system or on the degree of nonlinearity.