SIAM Journal on Numerical Analysis
Some recent advances in validated methods for IVPs for ODEs
Applied Numerical Mathematics
Computing rigorous bounds on the solution of an initial value problem for an ordinary differential equation
Bounding the Solutions of Parameter Dependent Nonlinear Ordinary Differential Equations
SIAM Journal on Scientific Computing
Brief paper: Rigorous parameter reconstruction for differential equations with noisy data
Automatica (Journal of IFAC)
A taylor series methodology for analyzing the effects of process variation on circuit operation
Proceedings of the 19th ACM Great Lakes symposium on VLSI
Towards global bilevel dynamic optimization
Journal of Global Optimization
Verified Solution Method for Population Epidemiology Models with Uncertainty
International Journal of Applied Mathematics and Computer Science - Verified Methods: Applications in Medicine and Engineering
Including ordinary differential equations based constraints in the standard CP framework
CP'10 Proceedings of the 16th international conference on Principles and practice of constraint programming
Discretize-then-relax approach for convex/concave relaxations of the solutions of parametric ODEs
Applied Numerical Mathematics
Generalized McCormick relaxations
Journal of Global Optimization
Bounds on the reachable sets of nonlinear control systems
Automatica (Journal of IFAC)
Parameter range reduction for ODE models using monotonic discretizations
Journal of Computational and Applied Mathematics
Convergence analysis of Taylor models and McCormick-Taylor models
Journal of Global Optimization
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In initial value problems for ODEs with interval-valued parameters and/or initial values, it is desirable in many applications to be able to determine a validated enclosure of all possible solutions to the ODE system. Much work has been done for the case in which initial values are given by intervals, and there are available software packages that deal with this case. However, less work has been done on the case in which parameters are given by intervals. We describe here a new method for obtaining validated solutions of initial value problems for ODEs with interval-valued parameters. The method also accounts for interval-valued initial values. The effectiveness of the method is demonstrated using several numerical examples involving parametric uncertainties.