基于三阶累积量奇异值分解的雷达目标识别

基于一维距离像三阶累积量矩阵的奇异值分解 ,由非零奇异值构成奇异值矢量作为正则子空间法的输入 ,提出一种雷达目标一维距离像识别方法 ,对目标进行分类识别。该方法一方面利用三阶累积量提高了抗噪性能 ,同时又使用非零奇异值矢量减少了存储量与运算量。仿真实验结果表明 :在低信噪比 ,该方法的识别率高于特征子空间法     

悲剧困境的本体论思考

现代化运动兴盛以来,人类物性膨胀,灵性堕落,存在的悲剧性正以前所未有的规模向当代人类压来,人类社会正面临着生存与发展的双重困境.立足人类生命实践,确立悲剧认知的逻辑本体和审美根本尺度,建构出具有深刻原创意义的生命意志受挫悲剧本体论认知范式,并充分肯定勇于抗争苦难、寻求灵魂超越的悲剧精神在当代的生命实践价值和审美文化价值.     

从科学哲学视角论经济学研究范式的二重性

基于对西方经济学研究范式变更的历史背景的考察，从科学哲学的视角剖析了实证经济学研究范式与规范经济学研究范式在哲学基础与方法论意义上的区别与联系，提出了经济学研究范式的二重性概念。     

一个算术函数的误差项估计

设ψ(n)是Dedekind函数,∑n≤x=nψ(n)=αx E(x),其中α是常数,E(x)是误差项.主要目的是利用经典的复积分理论及解析方法研究了E(x)的平方积分均值,得到了一个较为精确的估计式.     

关于Hayman问题的两个推广

推广了两类微分多项式的值分布，它们可以看作Hayman问题推广的相应结果的补充。     

罗平布依文化的内涵与价值建构

罗平布依化是我国布依族化的重要组成部分。它既保持着布依整体原生化的优秀内质，又有独特的再生创造话性。其特点是：(1)以美丽的自然环境为裁体；(2)以独特的民俗民趣为形态；(3)以鲜明的民族气质为核心；(4)以丰富的民间艺术形式为见证。强化这些特点，是建构罗平布依化价值的基本思路。“民族尊重”和“宽容姿态”是罗平布依化价值建构的起点和最后归宿。     

一类四阶方程边值问题正解的存在性

得到了一类四阶方程边值问题相应的Green函数。从而将该问题转化为相应的Hammerstein型积分方程，并利用锥拉伸与锥压缩不动点定理，证明了它在一定条件下，至少有一个正解。     

A ROBUST DECOMPOSITION OF LINEAR PROGRAMMING USING A GOAL-PARTITIONING METHOD

The Dantzig/Wolfe linear programming decomposition algorithm has had important economicinterpretations as well as a widespread impact on solving large scale linear programming problem.Inthis paper we consider a similar underlying structure,where however there is only one couplinginequality or equation.With this simplification,we demonstrate how to achieve an equitable partitionof the overall coupling resource to individual subproblem constraints through a simple iterationprocedure which appears to be very efficient.     

对三个民族尝味能力测定结果的统计分析

利用离散多元分析方法对三个民族尝味能力的测定结果进行了统计分析,结果表明:三个民族间的PTC尝味阈值差异高度显著,味盲率间差异高度显著;男女尝味阈值差异高度显著,男女味盲率差异高度显著.     

FROM MANUFACTURING SCHEDULING TO SUPPLY CHAIN COORDINATION：THE CONTROL OF COMPLEXITY AND UNCERTAINTY

With time-based competition and rapid technology advancements, effective manufacturingscheduling and supply chain coordination are critical to quickly respond to changing marketconditions. These problems, however, are difficult in view of inherent complexity and variousuncertainties involved. Based on a series of results by the authors, decomposition and coordination byusing Lagrangian relaxation is identified in this paper as an effective way to control complexity anduncertainty.A manufacturing scheduling problem is first formulated within the job shop context withuncertain order arrivals, processing times, due dates, and part priorities as a separable optimizationproblem. A solution methodology that combines Lagrangian relaxation, stochastic dynamicprogramming, and heuristics is developed. Method improvements to effectively solve large problemsare also highlighted. To extend manufacturing scheduling within a factory to coordinate autonomicmembers across chains of suppliers, a decentralized supply chai