Anesthesia characteristic of an algorithm of bupivacaine dose based on height in caesarean section under spinal anesthesia: a retrospective cohort studyAnesthesia characteristicAnesthesiaspinalBupivacaineCesarean sectionHeightBODY-MASS INDEXMATERNAL OBESITY
C. Jost: An algorithm for computing the topological Euler characteristic of complex projective varieties. arXiv:1301.4128, 2013.C. Jost, An algorithm for computing the topological Euler characteristic of complex projective varieties (2013). arXiv:1301.4128....
II. AN ALGORITHM FOR THE η T PAIRING CALCULATION Let E be an elliptic curve over F q , where q is a power of a prime number. A formal symbol (P) is defined for each point P of the curve. A divisor D on E is then a finite linear combination of such symbols with integer...
The characteristic detection algorithm based on a slope threshold is designed, and detection of R waves, P waves and T waves is performed respectively. The detection algorithm is simple and quick, and is suitable for parallel processing. The occupied memory space is small, and the R-wave ...
Here, I devised an algorithm that generates the same set of invariants without using any symbolic soft- ware. But I use the results obtained from the latter and constructed a prescription based on the principle of induction. The devised algorithm will be enumer- ated in Section 2. A test ...
美 英 un.特征值;特性值;本征值 网络特性值问题;特徵值 英汉 网络释义 un. 1. 特征值 2. 特性值 3. 本征值 例句 释义: 全部,特征值,特性值,本征值,特性值问题,特徵值 更多例句筛选
1. A method for selectively transforming a spatially varying optical characteristic (F) of an image in an array of pixels, said array characterized by NY rows of pixels oriented in an X direction and NX columns of pixels oriented in a Y direction, said NX and NY each at least 5, said ...
The main Einstein equations form a system of coupled ordinary differential equations with respect to the parameterλvarying along the characteristics. This allows construction of an evolution algorithm in terms of a simple march along the characteristics. ...
Among them, the classification model or function can be learned from a group of training sample data (whose category and attribution are known) through the classification mining algorithm to obtain its representation in various forms, such as decision tree, classification rules, neural network, or ...
We also design an algorithm, where the degrees of the polynomials occurring in the algorithm do not increase. This allows us to control the size of the polynomials effectively. Since Boolean polynomial equation solving is NP-complete, there exist no universally fast algorithms for this problem...