I still have my discrete math textbook from college.
我还保存着大学里的离散数学课本。
For programmers, the most useful branch of discrete math is probability theory.
对程序员来说，最有效的离散数学的分支是概率理论。
Statistics, some of which is covered in my discrete math book, but it's really a discipline of its own.
统计学，其中一些包括在我的离散数学课里，她的某些训练只限于她自身。
College: Differential and Integral Calculus, Differential Equations, Linear Algebra, Probability and Statistics, Discrete Math.
大学：微积分，微分公式，线性代数，概率和统计，离散数学。
For programmers, the most useful branch of discrete math is probability theory. It's the first thing they should teach you after arithmetic, in grade school.
对程序员来说，最有效的离散数学的分支是概率理论。这是你在学校学完基本算术后的紧接着的课。你会问，什么是概率理论呢？
Statistics, some of which is covered in my discrete math book, but it's really a discipline of its own. A pretty important one, too, but hopefully it needs no introduction.
统计学，其中一些包括在我的离散数学课里，她的某些训练只限于她自身。自然也是相当重要的，但想学的话不需要什么特别的入门。
For computer scientists 95% or more of the interesting math is discrete: i. e. math on the integers.
而对于计算机科学家来说，他们所感兴趣的95%也许更多的是离散性的，比如，关于整数的数学。
The math we use for modeling computational problems is, by and large, math on discrete integers.
我们用来建立计算模型的，大体上是离散数学。
For computer scientists, 95% or more of the interesting math is discrete: i. e., math on the integers.
而对于计算机科学家来说，他们所感兴趣的95%也许更多的是离散性的，比如，关于整数的数学。
The math we use for modeling computational problems is by and large math on discrete integers. This is a generalization.
我们用来建立计算模型的，大体上是离散数学，这是普遍的做法。
The math we use for modeling computational problems is, by and large, math on discrete integers. This is a generalization.
我们用来建立计算模型的，大体上是离散数学，这是普遍的做法。
Because the deformer of a beam isn't restricted by discrete model and dynamic equation, the post buckling analysis can be done in above math model.
因为所用的离散化模型与动力方程对梁的变形并无限制，所以可以用所得到的数学模型在其失稳域对梁的动力后屈曲进行数值仿真分析。
Because the deformer of a beam isn't restricted by discrete model and dynamic equation, the post buckling analysis can be done in above math model.
因为所用的离散化模型与动力方程对梁的变形并无限制，所以可以用所得到的数学模型在其失稳域对梁的动力后屈曲进行数值仿真分析。
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