船舶结构优化设计的研究进展

阐述工程结构优化若干前沿领域,即形状优化,模糊优化和遗传优化的基本原理和特点,以及它们在船舶结构设计中的应用,形状优化把数学规划论与边界元分析相结合,模糊优化把数学规划论与模糊集合论相结合,遗传优化把数学规划论与生物进化论相结合,这些多学科交叉有力地促进了结构优化设计深入发展,取得了良好的成果。     

双向AC／DC变换器的建模与稳态分析

本文提出了一种双向ＡＣ／ＤＣ变换器的状态空间平均模型,并在此基础上,经过稳态理论分析得出了一系列有价值的公式与结论,通过ＭＡＴＬＡＢ数值仿真和实验结果证实了该模型及的正确性。     

LSPMIS系统分布式数据库设计

论述基于网络的ＭＩＳ系统中分布式数据库的特点,功能和设计与实施技术,并结合ＬＳＰＭＩＳ系统中分布式数据库的具体设计与实施给出了设计过程,步骤,方法和结果。     

Approximate Degree Reduction of Triangular Bezier Surfaces

ＡｐｐｒｏｘｉｍａｔｅＤｅｇｒｅｅＲｅｄｕｃｔｉｏｎｏｆＴｒｉａｎｇｕｌａｒＢｅｚｉｅｒＳｕｒｆａｃｅｓ＊ＨｕＳｈｉｍｉｎ（胡事民）,ＺｕｏＺｈｅｎｇ（左征）,ＳｕｎＪｉａｇｕａｎｇ（孙家广）ＤｅｐａｒｔｍｅｎｔｏｆＣｏｍｐｕｔｅｒＳｃｉｅｎｃｅａｎ...     

两端任意支承的矩形截面钢筋混凝土梁可靠性优化设计

利用雷－莉法把非正态变量转换为当量正态变量,建立了在多个任意分布基本变量情况下的２性结构优化的设计数学模型。最后给出了设计人格最小的矩形截面钢筋混凝土梁的可靠性优化设计实例。     

间歇式压滤机的优化研究

在计入洗涤时间这一重要因素的前提下,以间歇式压滤机的生产能力最大为优化目标函数,得出其最佳操作时间,经实例验证,优化效益显著．     

WWW访问数据库及其在Windows环境下的实现

主要研究了从ＷＷＷ上访问数据库的各种方法,并在Ｗｉｎｄｏｗｓ环境下,以Ｗｅｂｓｉｔｅ１．１作ＷＷＷ服务器,用ＣＧＩ方法实现了对ＭＳＳＱＬＳｅｒｖｅｒ的访问．     

热电联产热力系统参数与结构方案同步综合

将复杂非线性蒸汽动力系统参数优化扩展到热电联产流程结构和蒸汽参数的联合优化,提出的混合整数非线性规划（ＭＩＮＬＰ）模型包含非凸非线性费用目标函数、复杂非线性过程约束及多方案选择的组合优化０－１变量逻辑约束．应用算例表明,所采用的模型和改进的遗传算法解决热力系统组合方案优化问题是可行的．     

Approximate minimum-cost multicommodity flows in\tilde O(ɛ −2 KNM) timetime

We show that an ε-approximate solution of the cost-constrainedK-commodity flow problem on anN-nodeM-arc network,G can be computed by sequentially solving O(K(? ^?2+logGK) logGM log (G? ^?1 GK)) single-commodity minimum-cost flow problems on the same network. In particular, an approximate minimum-cost multicommodity flow can be computed in $\tilde O$ (G? ^?2 GKNM) running time, where the notation Õ(·) means “up to logarithmic factors”. This result improves the time bound mentioned by Grigoriadis and Khachiyan [4] by a factor ofM/N and that developed more recently by Karger and Plotkin [8] by a factor of? ^?1. We also provide a simple $\tilde O$ (NM)-time algorithm for single-commodity budget-constrained minimum-cost flows which is $\tilde O$ (? ^?3) times faster than the algorithm developed in the latter paper.     

Numerical comparison of several variable-metric algorithms

The paper compares the numerical performances of the LDL decomposition of the BFGS variable-metric algorithm, the Dennis-Mei dogleg algorithm on the BFGS update, and Davidon's projections with the BFGS update with the straight BFGS update on a number of standard test problems. Numerical results indicate that the standard BFGS algorithm is superior to all of the more complex strategies.This research was supported by the National Science Foundation under Research Grant No. MCS77-07327.