西电应用数学系在优化理论与应用研究方面的进展情况

本文系统地论述了本校应用数学系在优化理论与应用研究中十个方面的进展情况．     

带调整线搜索方向的变尺度算法

为了确保变尺度算法在“坏条件”下的收敛性，本文提出对原算法的线搜索方向作适当地调整的方法，并且证明了带调整线搜索方向的Ｂｒｏｙｄｅｎ类算法，无论线搜索是否精确，它对连接可微函数是收敛的，对一致凸函数是Ｑ－超线性收敛的。     

多目标多约束的集成电路统计优化策略

对于集成电路设计、生产过程中的多目标、多约束统计优化问题,本文提出了“合格率足够高”的优化宗旨,并从概率论的基本原理出发,结合集成电路的特点,导出了一种合格率的近似表述方法,提出的变权重Monte Carlo法编程简便,效率高。采用这些优化策略设计的集成电路合格率优化系统取得了比较好的结果。     

Exact Fixed-node Quantum Monte Carlo： Self-optimizing Procedure

In this paper, a novel exact fixed-node quantum Monte Carlo (EFNQMC) algorithm was proposed, which is a self-optimizing and self-improving procedure. In contrast to the previous EFN-QMC method, the importance function of this method is optimized synchronistically in the diffusion procedure, but not be-fore beginning the EFNQMC computation. In order to optimize the importance function, the improved steepest descent tech-nique is used, in which the step size is automatically adjustable.The procedure is quasi-Newton type and converges super linear-ly. The present method also uses a novel trial function, which has correct electron-electron and electron-nucleus cusp condi-tious. The novel EFNQMC algorithm and the novel trial func-tion are employed to calculate the energies of 1 ^1A1 state of CH2, ^1Ag state of Cs and the ground-states of H2, LiH, Li2 and H2O.     

转变教育理念 优化课程体系

受教育部化学教学分指导委员会委托 ,高等学校化学教育研究中心主持的教学研究项目“新世纪创新化学人才培养的研究”第一次研讨会 ,于 4月 5～ 6日在河北大学举行。 2 3所高校的 4 0位代表参加了会议 ,共收到论文 18篇 ,14位代表在会议上发言 ,交流了创新能力培养方案与实践经验。　　由于绝大多数基础人才培养基地院校都派代表参加了会议 ,在研讨会期间 ,各基地院校的代表还交流了建设基地的经验和进展 ,认为基地院校必须有新理念、新举措 ,才能取得新成绩 ,发挥基地在新形势下的辐射作用。　　会议决定明年适当时间举行第二次研讨会 ,由武汉大学化学与分子科学学院承办。　　现将本次会议部分报告内容摘编如下     

气相色谱过程的计算机模拟及操作条件的优化

建立了气相色谱过程的动态数学模型,给出了模型的实用算法,并据此对各种操作条件下的色谱流出曲线进行了动态模拟计算。模拟计算结果表明该模型是有效的,能够用于各种程序控制的色谱过程,可得到色谱分离的优化条件。     

用改进单纯形优化法对火焰AAS测定铜最佳条件的研究

用改进单纯形法对火焰ＡＡＳ测定铜的条件进行优化，并与传统方法进行了比较。结果表明，改进单纯形优化法实验次数少，灵敏度提高，线性关系好。     

一道高三调研试题的解法探究与推广

本文先给出2021年广东佛山二模调研考试中一道椭圆试题的解法,然后探究一般情况,得到了椭圆的几个性质,并类比推广到双曲线和抛物线,给出了相应性质.     

Construction of Spatiotemporal-Coupling Optimal Low-Dimensional Dynamical Systems for Compressible Navier-Stokes Equations; [可压缩 Navier-Stokes 方程的时空耦合优化低维动力系统建模方法]北大核心CSCD

For the low-dimensional dynamical system model to study dynamics properties of Navier-Stokes equations, it is very important that the attraction domain of the low-dimensional model is the same as that of Navier-Stokes equations. However, to date, there is no universal approach to ensure this purpose for general problems. Herein, it is found that any low-dimensional model based on spatial bases, such as proper orthogonal decomposition bases, optimal spatial bases, and other classical spatial bases, is not predictable, i.e., the error increases with the time evolution of the flow field. With the theoretical framework for building optimal dynamical systems and the new concept of spatiotemporal-coupling spectrum expansion, the low-dimensional model for compressible Navier-Stokes equations was constructed to approximate the numerical solution to large-eddy simulation equations, and the numerical results and novel time evolution of spatiotemporal-coupling bases were given. The entire field error is typically below 10−2%, and the average error at each grid point is below 10−8%. The spatiotemporal-coupling optimal low-dimensional dynamical systems can ensure that the attraction domain of the low-dimensional model is the same as that of Navier-Stokes equations. Therefore, characteristic dynamics properties of spatiotemporal-coupling optimal low-dimensional dynamical systems are the same as those of real flow. © 2022 Editorial Office of Applied Mathematics and Mechanics. All rights reserved.