Special Issue "State-of-the-Art Algorithms and Their Applications in China"

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: closed (30 September 2021).

Special Issue Editor

Prof. Dr. Junwei Cao
E-Mail Website
Guest Editor
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
Interests: distributed computing; scheduling and optimization; energy Internet; gravitational waves

Special Issue Information

Dear Colleagues,

Since the beginning of the 21st century, with the rapid increase in China's national strength, the number of scientists and research achievements in China has increased greatly. According to existing records, the number of SCI-indexed papers from China has recently become the largest in the world, which has attracted worldwide attention. Some emerging research frontiers, such as Artificial Intelligence and Blockchains, rely on existing algorithms and innovations based on them.

Without defining any specific range of topics, we announce this Regional Special Issue, entitled “State-of-the-Art Algorithms and Their Application in China”. We welcome all original research articles and reviews that fall within this scope.

Prof. Dr. Junwei Cao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Article
An Introduction to Development of Centralized and Distributed Stochastic Approximation Algorithm with Expanding Truncations
Algorithms 2021, 14(6), 174; https://doi.org/10.3390/a14060174 - 31 May 2021
Viewed by 936
Abstract
The stochastic approximation algorithm (SAA), starting from the pioneer work by Robbins and Monro in 1950s, has been successfully applied in systems and control, statistics, machine learning, and so forth. In this paper, we will review the development of SAA in China, to [...] Read more.
The stochastic approximation algorithm (SAA), starting from the pioneer work by Robbins and Monro in 1950s, has been successfully applied in systems and control, statistics, machine learning, and so forth. In this paper, we will review the development of SAA in China, to be specific, the stochastic approximation algorithm with expanding truncations (SAAWET) developed by Han-Fu Chen and his colleagues during the past 35 years. We first review the historical development for the centralized algorithm including the probabilistic method (PM) and the ordinary differential equation (ODE) method for SAA and the trajectory-subsequence method for SAAWET. Then, we will give an application example of SAAWET to the recursive principal component analysis. We will also introduce the recent progress on SAAWET in a networked and distributed setting, named the distributed SAAWET (DSAAWET). Full article
(This article belongs to the Special Issue State-of-the-Art Algorithms and Their Applications in China)
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