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A global Monte-Carlo method for fitting parameters of differential equation models
global Monte-Carlo method fitting parameters Quantitative Methods
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2011/10/8
Abstract: Finding the parameter values of differential equation models from data is an important part of the modelling process. Large models and sparse data often make the parameters very difficult to...
Design of Easily Synchronizable Oscillator Networks Using the Monte Carlo Optimization Method
Synchronization Kuramoto model Networks Metropolis Optimization
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2010/4/21
Starting with an initial random network of oscillators with a heterogeneous frequency distribution, its autonomous synchronization ability can be largely improved by appropriately rewiring the links b...