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Determining a Reasonable Range of Relative Numerical Tolerance Values for Simulating Deterministic Models of Biochemical Reactions

机译:为模拟生化反应的确定性模型确定相对数值公差值的合理范围

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Adeterministic model of a biological process in the form of differential equations presents mathematical relationships among variables of precise values, but in simulation of such a model, only approximate values of the variables can be employed. The approximation is governed by either an absolute or a relative numerical tolerance value. An absolute numerical tolerance value is the absolute difference between the actual and expected values. Dividing such an absolute difference by the expected value gives rise to a relative numerical tolerance value. Because a model of a biological system may produce different simulation outcomes with different ranges of numerical tolerance values, it is important to determine a reasonable range of numerical tolerance values. Currently a reasonable range of numerical tolerance values for modeling a biological process such as that involving biochemical reactions has not been explored.
机译:生物过程的微分模型以微分方程的形式表示精确值变量之间的数学关系,但是在这种模型的仿真中,只能采用变量的近似值。近似值由绝对或相对数值公差值决定。绝对数值公差值是实际值与期望值之间的绝对差。用这样的绝对差除以期望值得到相对的数值公差值。由于生物系统的模型可能会在数值公差值的不同范围内产生不同的模拟结果,因此确定数值公差值的合理范围很重要。目前,尚未探索用于模拟诸如涉及生化反应的生物过程的数字公差值的合理范围。

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