This article describes a method for representing and simulating Ordinary Differential Equation (ODE) systems which are imprecise -- that is, where the ODE model contains both parametric and functional uncertainty. Such models, while useful in engineering tasks such as design and hazard analysis, are not used in practice because they require either special structures which limit the describable uncertainty or produce predictions which are extremely weak. This article describes SQsim (for SemiQuantitative SIMulator), a system which provides a general language for representing and reasoning about many common forms of engineering uncertainty. By defining the model both qualitatively and quantitatively an
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin...
Nowadays, computational models are used in virtually all fields of applied sciences and engineering ...
AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no traje...
Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas...
Part 4: UQ PracticeInternational audienceOne can reduce the uncertainty in the quality of an approxi...
This three-fold contribution to the field covers both theory and current research in algorithmic app...
This paper presents a general purpose, algebraic tool—named TMsim—for the combined parametric and wo...
International audienceThis book results from a course developed by the author and reflects both his ...
Simulation models are increasingly used for exploring the consequences of deep uncertainty in comple...
Mathematical models provide insight into numerous biological, physical and chemical systems. They ca...
The present paper addresses the question: ``What are the general classes of uncertainty and error so...
Doctor of PhilosophyDepartment of Mechanical and Nuclear EngineeringHitesh BindraDespite the tremend...
: While model-based process monitoring and system identification share the common goal of describing...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
Abstract: QSIM is a powerful Qualitative Simulation algorithm, which now includes many features that...
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin...
Nowadays, computational models are used in virtually all fields of applied sciences and engineering ...
AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no traje...
Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas...
Part 4: UQ PracticeInternational audienceOne can reduce the uncertainty in the quality of an approxi...
This three-fold contribution to the field covers both theory and current research in algorithmic app...
This paper presents a general purpose, algebraic tool—named TMsim—for the combined parametric and wo...
International audienceThis book results from a course developed by the author and reflects both his ...
Simulation models are increasingly used for exploring the consequences of deep uncertainty in comple...
Mathematical models provide insight into numerous biological, physical and chemical systems. They ca...
The present paper addresses the question: ``What are the general classes of uncertainty and error so...
Doctor of PhilosophyDepartment of Mechanical and Nuclear EngineeringHitesh BindraDespite the tremend...
: While model-based process monitoring and system identification share the common goal of describing...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
Abstract: QSIM is a powerful Qualitative Simulation algorithm, which now includes many features that...
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin...
Nowadays, computational models are used in virtually all fields of applied sciences and engineering ...
AbstractState-of-the-art qualitative simulators (for instance, QSIM) are known to be sound; no traje...