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Four classic benchmarks of dynamic optimization problems are used as illustrations, and the proposed approach is compared with literature reports.
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Among the book's many innovations are its use of recursive utility as the benchmark representation of dynamic preferences, and an associated theory of equilibrium pricing and optimal portfolio choice that goes beyond the existing literature.
Based on flow analysis, the maximum Mach number is taken as the benchmark of bearing dynamic stability and used as a constraint in the optimization modeling, for which the rationality is verified through transient flow calculations.
The optimizations are validated on a variety of benchmarks exhibiting different communication patterns, from bulk synchronous benchmarks to dynamic shared data structure code.
The research can provide the basic input parameter for the dynamic analysis for spent fuel storage rack; moreover, the experimental seismic response can be the benchmark for dynamic analysis of CAP1400 spent fuel rack.
The results obtained using our approaches are encouraging, with statistically significant improvements averaging 5% or more, when compared to the traditional benchmark of the heuristic dynamic programming technique.
An extensive set of experiments is conducted on a variety of dynamic environments, generated by the moving peaks benchmark, to evaluate the performance of the proposed approach.
Several numerical benchmarks are conducted to invest the convergence and mesh sensitivity of simulations of dynamic crack propagation process with different refinements.
The approach to time consistency based on families of benchmark sets was initiated by (Tutsch 2008), where the author applied this approach in the context of dynamic risk measures.
Simulation with MCNC benchmarks shows an average improvement of 31%, 26% and 29% in leakage power consumption, dynamic power consumption and area requirement respectively, over NOVA-based state assignment technique in case of dynamic CMOS PLA implementation.
It's the opposite of dynamic.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com