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The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects the solution quality of multistage stochastic programming problems. We present a new heuristic for determining good feasible solutions for a multistage decision problem. For power and log-utility functions we address the question of how tree structures, number of stages, number of outcomes and number of assets affect the solution quality. We also present a new method for evaluating the quality of first stage decisions.  相似文献   
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Serum is a typical sample for non-invasive studies in clinical research. Its proteome characterization is challenging, since requires extensive protein depletion. Methods used nowadays for removal of high-abundance proteins are expensive or show quite often a low loading capacity, which has strong repercussions on the number of samples and replicates per analysis.In order to deplete immunoglobulins (Igs) and albumin (HSA) from 1 mL serum samples, we have developed a protocol based on a combination of thiophilic chromatography, not previously used in clinical proteomics, and a HSA-specific resin. Ig/HSA-depleted samples, immunoglobulinome and albuminone were analyzed by 2-DE. Thiophilic chromatography, coupled with HSA-depletion, allows a good 2-DE resolution as well as the visualization of new spots. Moreover, it yields enough protein to evaluate technical variability and facilitate subsequent protein identification. To validate the protocol, we carried out a preliminary comparative study between triplicate Igs/HSA-depleted serum samples from healthy control individuals and recently diagnosed/untreated rheumatoid arthritis (RA) patients. RA patients showed several acute phase proteins, as well as additional serum proteins, differentially and significantly regulated.Therefore, thiophilic chromatography can be used as an efficient and economical method in 2-DE to deplete immunoglobulins from large human serum samples before a more extensive fractioning.  相似文献   
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分形粗糙面双站散射的快速前后向迭代法数值模拟   总被引:1,自引:0,他引:1       下载免费PDF全文
李中新  金亚秋 《物理学报》2001,50(5):797-804
为模拟复杂分形表面特别是在低掠角入射条件下的双站散射,发展了一种结合前后向迭代方法(FBM)与谱加速算法(SAA)快速求解散射场的Monte Carlo数值方法,计算了在TE,TM锥形波入射在一维分形导体粗糙面的双站散射以及有规则异物存在时的双站散射,讨论了分形粗糙面双站散射的角度性分布与其分数维的关系. 关键词: GFBM/SAA 分形粗糙面 双站散射  相似文献   
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为减小物资生产与配送不协调造成的成本及生产资源浪费,建立了考虑推动式生产调度的物资配送优化模型,并针对标准模拟退火算法受随机因素影响易陷入局部最优的缺点,设计带有回火与缓冷操作的改进模拟退火算法对模型求解,确定了优化的车辆配送路线以及物资生产计划。对比实验结果表明:相对于单纯的物资配送优化模型,考虑推动式生产调度的配送优化模型,能够有效减小物资滞留时间以及配送延误成本;相较于标准模拟退火算法,改进算法搜索到了更优解,且计算结果的标准差减小了93.42%,稳定性更好;同时,改进模拟退火算法具有较低的偏差率,在中小规模算例中求解质量较高,平均偏差率在0.5%以内。  相似文献   
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对统计擦碎模型(SAA)的计算方法进行修正和优化,并引入参数化的介质中核子-核子碰撞截面和核物质密度分布弥散度,可很好符合从中能到高能下碎裂反应产生同位素分布的实验截面,并能计算和拟合远离峰位、很低截面的同位素分布.  相似文献   
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Sulfonamides (SAs) have been the most widely used antimicrobial drugs for more than 70 years, and their residues in foodstuffs and environmental samples pose serious health hazards. For this reason, sensitive and specific methods for the quantification of these compounds in numerous matrices have been developed. This review intends to provide an updated overview of the recent trends over the past five years in sample preparation techniques and methods for detecting SAs. Examples of the sample preparation techniques, including liquid–liquid and solid-phase extraction, dispersive liquid–liquid microextraction and QuEChERS, are given. Different methods of detecting the SAs present in food and feed and in environmental, pharmaceutical and biological samples are discussed.  相似文献   
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李中新  金亚秋 《物理学报》2002,51(7):1403-1411
对于高介电常量分形粗糙面的双站散射与透射的数值计算,须用密网格来剖分粗糙面,这样就产生了计算内存大和计算时间长的问题.双网格法通常可以用来减少计算机计算所需内存和计算时间.为计算任意角度(包括低掠角)TE和TM波入射下的高介电常量分形粗糙面在各种物理条件下的双站散射与透射,将双网格法和前后向迭代与谱积分加速法相结合,发展了新的数值计算方法,并验证了散射与透射的能量守恒,讨论了双站散射与透射角度性变化的特征. 关键词: 双站散射 透射 PBTGFBMSAA 分形粗糙面  相似文献   
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基于VHDL技术实现视频采集处理器的控制   总被引:2,自引:2,他引:0  
田雁  曹剑中  许朝晖  李变霞  刘莹 《光子学报》2006,35(8):1276-1279
针对目前视频图像采集技术中图像采样控制复杂,应用不灵活的问题,基于现有视频采样芯片SAA7111,提出一种采用VHDL技术来模拟实现I2C总线接口的方法,控制视频采集处理器实现视频图像采集.实验证明,I2C总线控制SAA7111采样图像数据正确、稳定.该方法具有非常好的可移植性.  相似文献   
9.
Stochastic semidefinite programming (SSDP) is a new class of optimization problems with a wide variety of applications. In this article, asymptotic analysis results of sample average approximation estimator for SSDP are established. Asymptotic analysis result already existing for stochastic nonlinear programming is extended to SSDP, that is, the conditions ensuring the convergence in distribution of sample average approximation estimator for SSDP to a multivariate normal are obtained and the corresponding covariance matrix is described in a closed form.  相似文献   
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