1.
addition by subtraction
采用减法运算的加法
2.
In a subtraction operation, the number or quantity subtracted from the minuend.
在减法运算中,从被减数减去的那个数或量。
3.
adding and subtracting device, pocket-type, operated with a stylus
加减法运算器，袖珍型，靠记录针控制
4.
Study of Effective Connectivity Based on Dynamic Causal Modeling in Subtraction Calculation Task
基于DCM的减法运算脑功能效应连通性方法研究
5.
An arithmetically negative carry. It occurs in performing subtraction when the subtrahend is larger than the minuend in a particular digit position
一种算术负进位,它出现在某一特定的数位上减数大于被减数的减法运算中。
6.
Addition and subtraction we call the first- progression operation, multiplication and division we call the second– progression operation.
加法和减法叫做第一级运算,乘法和除法叫做第二级运算.
7.
The harmful effect on the motion edge by global smoothness constraint in Horn algorithm is weakened by algebraic operation.
通过代数运算减轻了Horn算法中全局约束对运动边界的影响。
8.
Global convergence of the algorithm has been proved.
避免了转轴运算，使计算量大为减少，并证明了算法的全局收敛性。
9.
Addition, Subtraction, Multiplication, Division, Involution and Factorial of High Effective Locations
高有效位数的加、减、乘、除、乘方和阶乘运算法
10.
Of the system through the use of reasonable algorithm to reduce the amount of computation, improve the computational speed, efficient and reliable operation. basic requirements can be achieved.
本系统通过采用合理的算法，减少了运算量，提高了运算速度，运行高效可靠，可基本实现要求。
11.
This method greatly improves the conventional vector radix 2D Fast Hartley Transform Algorithm.
比普通矢量基二维哈脱莱变换算法运算量进一步减少。
12.
1.Unary minus and plus operators
1. 一元加、减运算符
13.
a sign indicating the operation of subtraction.
表示减少运算的符号。
14.
Addition, subtraction, multiplication, and division are binary operations.
加、减、乘、除都是二元运算。
15.
When combining addition and subtraction with multiplication and division it is necessary to take interim totals.
当加减法和乘除法联合运算时,必需取得中间和数。
16.
The decrement operator is -- and means "decrease by one unit.
其中，递减运算符是“--”，意为“减少一个单位”；
17.
Results show that new algorithm can reduce memory, accelerate speed, and in crease the application range.
实验表明 ,这种算法可以减少存储容量、加快运算速度 ,而且可以增大算法的应用范围。
18.
The result reveals more human-vision-alike segmentation and much less computational cost.
实验中得到了比已有算法更接近人眼视觉的分割结果并大大减少了算法的运算量。