阶乘

一个N阶乘问题的求解算法及相关应用分析

The algorithm and analysis of relative application for one N factorial problem

数据部分在标记为number的空间中存放有我们所要计算的阶乘。

The data section holds the value we want to compute the factorial of in a space labeled number .

所以不包含N的阶乘。

So there 's no N factorial involved here .

再除以NA的阶乘，对B同样。

Divided by NA factorial times the same thing for B.

任意k+1个相邻自然数k次方的k次差等于k阶乘

K Difference of k Power of Arbitrary k + 1 Adjacent Natural Numbers Equal to k Factorial

下面是RyanDavis提供的使用C编写的一个阶乘计算方法的示例

Ryan Davis'example of a factorial calculation method written in C

就是说，现在我们要除以NA的阶乘乘以NB的阶乘的积。

That is , now we have to divide by NA factorial times NB factorial .

探讨阶乘矩识别不同规律控制下过程的可行性，以期为DNA编码识别等提供可能的工具。

The effectiveness of factorial moments to identify processes under different control rules is investigated in this paper to present tools for identifying coded area .

阶乘的一个有趣特性是，某个数的阶乘等于起始数（startingnumber）乘以比它小一的数的阶乘。

An interesting property of a factorial is that the factorial of a number is equal to the starting number multiplied by the factorial of the number immediately below it .

利用单事例阶乘矩方法计算了NA27数据的事例空间矩Cp，q（M）。

The event-space moments C p , q ( M ) have been calculated using the method of single-event factorial moments .

可以用与Fibonacci序列基本相同的方式对待阶乘。

You can think of factorials in much the same way as Fibonacci sequences .

关于阶乘的Simmons猜想

On Simmons ' Conjecture Concerning Factorials

所以Q就是小q的大N次方，是粒子数目，the，number，of，particles。，然后我们知道你还要除以N的阶乘，以避免对不可分辨，的构型的重复计数。

So Q is just little q to the capital N power , N And then we 've seen you have to divide by N factorial to avoid the overcounting of configurations that are in fact not distinguishable .

计算了阶乘之后，现在需要用printf将其打印出来。

After computing the factorial , you now want to print it out using printf .

400GeV／cpp碰撞中的多粒子关联、阶乘累积矩和关联积分

Multiparticle Correlations , Factorial Cumulant Moments and Correlation Integrals in pp Collisions at 400 GeV / c

本文用阶乘矩方法分析了入射能量3.7AGev的氧离子与核乳胶相互作用中的间歇行为。

The intermittency of 3.7 A GeV oxygen induced emulsion interactions has been studied by using the method of scaled-factorial-moments .

使用包含两个参数的一般阶乘，第一类和第二类Cauchy数被统一为广义Cauchy数。

Cauchy numbers of the first and the second kind can be unified into the generalized Cauchy numbers by starting with transformations between generalized factorials involving two arbitrary parameters .

在大多数教程中可以发现的大多数经典Haskell函数都是递归的数学函数，例如Fibonacci函数和阶乘。

The classic Haskell functions that you 'll find in most tutorials are recursive math functions , such as Fibonacci functions and factorials .

发现：三维归一化阶乘矩（NFM）的分布呈现出很好的标度特性；

The normalized factorial moments ( NFM ) show good scaling properties in isotropical partition of phase space ;

在开始介绍SPU汇编语言之前，先来看一个通过递归算法计算32位数的阶乘的简单程序。

To begin looking at SPU assembly language , I will enter in a simple program for calculating the factorial of a32-bit number using a recursive algorithm .

在高能碰撞中，e＋e－湮没的电荷多重性可用负二项分布很好地描绘.阶乘矩F2、F3和F4仅由3k表示出来。

Charged particle multiplicity distributions for e + e-annihilation are shown to be very well described by a negative binomial distribution in high energy collisions . The factorial moments F2 , F3 and F4 are given in terms of 3k .

首先，在冲度坐标系中，选取快度y，横动量pt和方位角φ为相空间变量，对多粒子末态相空间进行各向同性分割，计算三维归一化阶乘矩（NFM）。

And in the thrust coordinate system , choose the rapidity y , transverse momentum pt , azimuthal angle φ as the variables in the phase space . With isotropic partition of the chosen phase space , calculate the three-dimensional normalized factorial moments ( NFM ) .

α模型中不固定多重数下的阶乘矩、粒子数关联矩

Factorial Moments and Factorial Correlations in α Model for Non-Fixing Multiplicity

相对论重离子碰撞中单事件阶乘矩的分析

Analysis of single event factorial moment in relativistic heavy ion collision

这极大地限制了阶乘函数的可能范围。

This limits greatly the possible range of your factorial function .

一种基于阶乘脉冲编码的嵌入式语音频编码器

An Embedded Speech and Audio Codec based on Factorial Pulse Coding

当需要阶乘时，将从该表中读取阶乘。

When factorials are needed they are read from the table .

阶乘矩识别不同规律控制过程

Identifying Processes Under Different Rules by Means of Factorial Moments

阶乘幂多项式及其基本恒等式

The Polynomial of Factorial Powers and It 's Basic Identities

可见，通过对事件阶乘矩erraticity的分析，根本就观测不到任何动力学起伏。

No dynamical fluctuation has been observed through event factorial moments analysis .