Families of models that cross levels of resolution: issues for design, calibration and management
WSC '93 Proceedings of the 25th conference on Winter simulation
Consistency maintenance in multiresolution simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Retargetting motion to new characters
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Physically based motion transformation
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Optimization as a Tool for Consistency Maintenance in Multi-resolution Simulation
Optimization as a Tool for Consistency Maintenance in Multi-resolution Simulation
Visualizing coercible simulations
WSC '04 Proceedings of the 36th conference on Winter simulation
Requirements for DDDAS flexible point support
Proceedings of the 38th conference on Winter simulation
Using flexible points in a developing simulation of selective dissolution in alloys
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Agile optimization for coercion
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Multi-model traffic microsimulations
Winter Simulation Conference
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The need for new approaches to the consistent simulation of related phenomena at multiple levels of resolution is great. While many fields of application would benefit from a complete and approachable solution to this problem, such solutions have proven extremely difficult. We present a multi-resolution simulation methodology which uses numerical optimization as a tool for maintaining external consistency between models of the same phenomena operating at different levels of temporal and/or spatial resolution. Our approach follows from previous work in the disparate fields of inverse modeling and spacetime constraint-based animation. As a case study, our methodology is applied to two environmental models of forest canopy processes that make overlapping predictions under unique sets of operating assumptions, and which execute at different temporal resolutions. Experimental results are presented and future directions are addressed.