CANopen是基于CAN(Controller Area Network)开发的应用层协议,CANopen网络可以根据具体通讯需求设置成多种通讯模式,提高了通讯效率和灵活性,为分布式控制提供了一种理想的网络系统,广泛应用于各种领域。本文着重介绍了CANopen协议的...CANopen是基于CAN(Controller Area Network)开发的应用层协议,CANopen网络可以根据具体通讯需求设置成多种通讯模式,提高了通讯效率和灵活性,为分布式控制提供了一种理想的网络系统,广泛应用于各种领域。本文着重介绍了CANopen协议的对象字典;不同的通讯模式和网络管理等重要概念,从CANopen应用中若干问题。展开更多
In the present paper we present a class of polynomial primal-dual interior-point algorithms for semidefmite optimization based on a kernel function. This kernel function is not a so-called self-regular function due to...In the present paper we present a class of polynomial primal-dual interior-point algorithms for semidefmite optimization based on a kernel function. This kernel function is not a so-called self-regular function due to its growth term increasing linearly. Some new analysis tools were developed which can be used to deal with complexity ＂analysis of the algorithms which use analogous strategy in [5] to design the search directions for the Newton system. The complexity bounds for the algorithms with large- and small-update methodswere obtained, namely,O（qn^（p＋q/q（P＋1）log n/ε and O（q^2√n）log n/ε,respectlvely.展开更多
"结构化数字对象"(Structured Digital Object,SDO)的概念是表现学术信息的手法之一,它融合地表现了信息的"粒度、结构、内容含义"三个重要特性;作为SDO的计算机实现方式,可采用XML进行描述(简称SDO/XML),SDO/XML..."结构化数字对象"(Structured Digital Object,SDO)的概念是表现学术信息的手法之一,它融合地表现了信息的"粒度、结构、内容含义"三个重要特性;作为SDO的计算机实现方式,可采用XML进行描述(简称SDO/XML),SDO/XML被证明是Web时代知识信息结构化组织的一种可行方式[1]。SDO的概念于2002年在国家图书馆主办的首届数字图书馆国际会议上[2]正式发表;SDO/XML的概念模式及在数字图书馆等领域的应用研究,作为原创论文,于2003年1月在日本"情报知识学会"[3]杂志上刊载;其在元数据领域的应用探讨,则于2004年在上海召开的Dublin Core会议[4]上得到承认。作为后续研究应用,我们将这一原理,具体应用于中文DOI系统中,基于SDO/XML思想设计DOI元数据XML Schema,实现了中文DOI系统核心功能——DOI的注册、解析与元数据查询。本文介绍SDO和SDO的描述方式,即SDO/XML的概念;简要阐述SDO/XML在数字资源检索系统、数字期刊出版系统和数字图书馆系统等领域的应用;给出基于SDO/XML概念的"Global Digital Library"(GDL,全球数字图书馆)的模式和其运作方式,探讨数字图书馆的互操作课题;作为SDO/XML的最新应用,较为详细地介绍SDO在中文DOI系统中的应用;最后,给出结论和思考,概述探讨未来的研究方向。展开更多
Interior-point methods （IPMs） for linear optimization （LO） and semidefinite optimization （SDO） have become a hot area in mathematical programming in the last decades. In this paper, a new kernel function with si...Interior-point methods （IPMs） for linear optimization （LO） and semidefinite optimization （SDO） have become a hot area in mathematical programming in the last decades. In this paper, a new kernel function with simple algebraic expression is proposed. Based on this kernel function, a primal-dual interior-point methods （IPMs） for semidefinite optimization （SDO） is designed. And the iteration complexity of the algorithm as O（n^3/4 log n/ε） with large-updates is established. The resulting bound is better than the classical kernel function, with its iteration complexity O（n log n/ε） in large-updates case.展开更多
文摘CANopen是基于CAN(Controller Area Network)开发的应用层协议,CANopen网络可以根据具体通讯需求设置成多种通讯模式,提高了通讯效率和灵活性,为分布式控制提供了一种理想的网络系统,广泛应用于各种领域。本文着重介绍了CANopen协议的对象字典;不同的通讯模式和网络管理等重要概念,从CANopen应用中若干问题。
文摘In the present paper we present a class of polynomial primal-dual interior-point algorithms for semidefmite optimization based on a kernel function. This kernel function is not a so-called self-regular function due to its growth term increasing linearly. Some new analysis tools were developed which can be used to deal with complexity ＂analysis of the algorithms which use analogous strategy in [5] to design the search directions for the Newton system. The complexity bounds for the algorithms with large- and small-update methodswere obtained, namely,O（qn^（p＋q/q（P＋1）log n/ε and O（q^2√n）log n/ε,respectlvely.
文摘"结构化数字对象"(Structured Digital Object,SDO)的概念是表现学术信息的手法之一,它融合地表现了信息的"粒度、结构、内容含义"三个重要特性;作为SDO的计算机实现方式,可采用XML进行描述(简称SDO/XML),SDO/XML被证明是Web时代知识信息结构化组织的一种可行方式[1]。SDO的概念于2002年在国家图书馆主办的首届数字图书馆国际会议上[2]正式发表;SDO/XML的概念模式及在数字图书馆等领域的应用研究,作为原创论文,于2003年1月在日本"情报知识学会"[3]杂志上刊载;其在元数据领域的应用探讨,则于2004年在上海召开的Dublin Core会议[4]上得到承认。作为后续研究应用,我们将这一原理,具体应用于中文DOI系统中,基于SDO/XML思想设计DOI元数据XML Schema,实现了中文DOI系统核心功能——DOI的注册、解析与元数据查询。本文介绍SDO和SDO的描述方式,即SDO/XML的概念;简要阐述SDO/XML在数字资源检索系统、数字期刊出版系统和数字图书馆系统等领域的应用;给出基于SDO/XML概念的"Global Digital Library"(GDL,全球数字图书馆)的模式和其运作方式,探讨数字图书馆的互操作课题;作为SDO/XML的最新应用,较为详细地介绍SDO在中文DOI系统中的应用;最后,给出结论和思考,概述探讨未来的研究方向。
基金Project supported by the National Natural Science Foundation of China （Grant No. 10117733）, the Shanghai Leading Academic Discipline Project （Grant No.J50101）, and the Foundation of Scientific Research for Selecting and Cultivating Young Excellent University Teachers in Shanghai （Grant No.06XPYQ52）
文摘Interior-point methods （IPMs） for linear optimization （LO） and semidefinite optimization （SDO） have become a hot area in mathematical programming in the last decades. In this paper, a new kernel function with simple algebraic expression is proposed. Based on this kernel function, a primal-dual interior-point methods （IPMs） for semidefinite optimization （SDO） is designed. And the iteration complexity of the algorithm as O（n^3/4 log n/ε） with large-updates is established. The resulting bound is better than the classical kernel function, with its iteration complexity O（n log n/ε） in large-updates case.
