conditional probability density function

基本解釋

At present the popular turbulent diffusion combustion models include Probability Density Function (PDF), Conditional Moment Closure (CMC) and so on.
目前流行的湍流擴(kuò)散燃燒模型有概率密度函數(shù)輸運(yùn)方程模擬（PDF）、條件矩模擬（CMC）、層流小火焰模型等。
By the geometric probability model, the intuitionistic method is provided for the marginal density function and conditional probability density function.
針對(duì)兩部件組成系統(tǒng)的二維壽命分布，提出了基于條件失效率函數(shù)刻畫方法，這是一種刻畫壽命分布有效的新途徑。
A length scale is introduced by a two-point joint probability density function, to account for the evolutions of the conditional diffusion.
該方法考慮兩點(diǎn)聯(lián)合概率密度函數(shù)方程，引入空間特征尺度，因此解決了以往映射封閉方法中分子擴(kuò)散速率無法確定的問題。