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Other systems may require a projection that is still too large to be solved efficiently; for these, the linearity of the FSP allows for many model reductions and computational techniques, which can increase the efficiency of the FSP method with little or no loss in accuracy.
(S, R′, A′) ) where It is worth noting that these operations delete and merge for molecules and reactions can be implemented in a graphical editor for reaction rules as a mean to define model reductions, and automatically derive reduced models from simple graph editing functions.
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Topics in: dynamical systems theory; practical overview of stochastic differential equations; model reduction; and tradeoffs among performance, complexity, and robustness.
The influence of the model reduction and model update on the detection accuracy is studied.
The latter is employed to demonstrate model reduction and process optimization.
Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design.
The results are useful to VLSI interconnect model reduction and design, and to control systems with a distributed transmission line.
Future applications to coupling problems, model reduction and modal synthesis are briefly presented at the end of the text.
The information contained in the sensitivity trajectories is useful for parameter estimation, optimization, model reduction and experimental design.
Model reduction and detailed system analysis have been undertaken to examine the main properties of this enzyme reaction system.
We will present an approach that could be used to radically accelerate the numerical simulation, model reduction, and quantification of uncertainty in large multi-scale nonlinear networks of interconnected dynamic components.
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