It is a research subject that has attracted a wide concern and study for a long time to find a suitable trading point of stock.From the views of big data and quantization technique,the paper tries to propose an approa...It is a research subject that has attracted a wide concern and study for a long time to find a suitable trading point of stock.From the views of big data and quantization technique,the paper tries to propose an approach,through the form of algorithm,based on big data analysis and linear weighted moving average curve,to find the point of buying stock,so that the trader would like to achieve the expected profit with a higher probability;and makes the digital experiment to further explain the approach and verify its performance.This work can promote the development of big data research and quantization technique,and can also provide a certain reference method for the trader making the technology analysis of the trade.展开更多
The present work considers the endpoint in the abstract metric space. It firstly introduces the metric space of partially ordered groups and the metric space of partially ordered modules, respectively;and defines the ...The present work considers the endpoint in the abstract metric space. It firstly introduces the metric space of partially ordered groups and the metric space of partially ordered modules, respectively;and defines the convergence of sequences and the multi-valued weak contractions, etc., on the introduced space. And then, with the methods of functional analysis and abstract algebra, it successively establishes an endpoint theorem for the metric space of partially ordered groups and an endpoint theorem for the metric space of partially ordered modules. The contributions of this article extend the theory of cone metric space constructed by Huang and Zhang (2007) and some recent results on the fixed point and endpoint theory, such as the endpoint theorem given by Amini-Harandi (2010).展开更多
基金supported by the Natural Science Foundation of Liaoning province under Great 20170540821.
文摘It is a research subject that has attracted a wide concern and study for a long time to find a suitable trading point of stock.From the views of big data and quantization technique,the paper tries to propose an approach,through the form of algorithm,based on big data analysis and linear weighted moving average curve,to find the point of buying stock,so that the trader would like to achieve the expected profit with a higher probability;and makes the digital experiment to further explain the approach and verify its performance.This work can promote the development of big data research and quantization technique,and can also provide a certain reference method for the trader making the technology analysis of the trade.
文摘The present work considers the endpoint in the abstract metric space. It firstly introduces the metric space of partially ordered groups and the metric space of partially ordered modules, respectively;and defines the convergence of sequences and the multi-valued weak contractions, etc., on the introduced space. And then, with the methods of functional analysis and abstract algebra, it successively establishes an endpoint theorem for the metric space of partially ordered groups and an endpoint theorem for the metric space of partially ordered modules. The contributions of this article extend the theory of cone metric space constructed by Huang and Zhang (2007) and some recent results on the fixed point and endpoint theory, such as the endpoint theorem given by Amini-Harandi (2010).
