In this paper, an Improved Affine-Scaling Interior Point Algorithm for Linear Programming has been proposed. Computational results of selected practical problems affirming the proposed algorithm have been provided. Th...In this paper, an Improved Affine-Scaling Interior Point Algorithm for Linear Programming has been proposed. Computational results of selected practical problems affirming the proposed algorithm have been provided. The proposed algorithm is accurate, faster and therefore reduces the number of iterations required to obtain an optimal solution of a given Linear Programming problem as compared to the already existing Affine-Scaling Interior Point Algorithm. The algorithm can be very useful for development of faster software packages for solving linear programming problems using the interior-point methods.展开更多
[目的]探讨五音疗法临床研究的治疗特征、技术要点、疾病谱分布,为科学设计与实施五音疗法临床试验提供参考。[方法]检索中国知网(China National Knowledge Infrastructure,CNKI)、维普中文期刊服务平台(VIP)、万方数据知识服务平台(Wa...[目的]探讨五音疗法临床研究的治疗特征、技术要点、疾病谱分布,为科学设计与实施五音疗法临床试验提供参考。[方法]检索中国知网(China National Knowledge Infrastructure,CNKI)、维普中文期刊服务平台(VIP)、万方数据知识服务平台(Wanfang Data)、中国生物医学文献数据库(China Biology Medicine disc,CBMdisc)、PubMed、Embase、Web of Science、Cochrane Library、Clinical Trails共9大数据库收录的五音疗法随机对照试验(randomized controlled trial,RCT)文献,提取文献标题、第一作者、病症、干预措施等信息,采用文献计量方法对纳入研究的样本量、干预方式、疗程频率、治疗环境、对照方式、疾病谱分布进行分析。[结果]共纳入491篇RCT文献,纳入文献的样本量多在60~100例(占比60.08%),五音疗法常与耳穴贴压、中药、针刺等联合使用;治疗频次1次/d、治疗时长30 min/次及疗程28 d为主要治疗特征;对照措施可分为中医治疗、西医治疗、音乐疗法、空白对照4类,西医治疗使用频次最高(446次)。314篇文献(63.95%)报告了具体曲调,其中以角调频次最高,共计108次。音乐疗法共涉及病症66种,分布在17个疾病系统中,适宜疾病系统频次前3位为精神和行为障碍(112篇)、神经系统疾病(76篇)、肿瘤疾病(71篇)。[结论]五音疗法适应证广,临床应用潜力大,但治疗时间、疗程等方面尚待形成规范的标准。未来仍需设计和实施更科学的试验方案促进五音疗法的合理应用与推广。展开更多
文摘In this paper, an Improved Affine-Scaling Interior Point Algorithm for Linear Programming has been proposed. Computational results of selected practical problems affirming the proposed algorithm have been provided. The proposed algorithm is accurate, faster and therefore reduces the number of iterations required to obtain an optimal solution of a given Linear Programming problem as compared to the already existing Affine-Scaling Interior Point Algorithm. The algorithm can be very useful for development of faster software packages for solving linear programming problems using the interior-point methods.