Local linear convergence analysis of Primal–Dual splitting methods

In this paper, we study the local linear convergence properties of a versatile class of Primal–Dual splitting methods for minimizing composite non-smooth convex optimization problems. Under the assumption that the non-smooth components of the problem are partly smooth relative to smooth manifolds, we present a unified local convergence analysis framework for these methods. More precisely, in our framework, we first show that (i) the sequences generated by Primal–Dual splitting methods identify a pair of primal and dual smooth manifolds in a finite number of iterations, and then (ii) enter a local linear convergence regime, which is characterized based on the structure of the underlying active smooth manifolds. We also show how our results for Primal–Dual splitting can be specialized to cover existing ones on Forward–Backward splitting and Douglas–Rachford splitting/ADMM (alternating direction methods of multipliers). Moreover, based on these obtained local convergence analysis result, several practical acceleration techniques are discussed. To exemplify the usefulness of the obtained result, we consider several concrete numerical experiments arising from fields including signal/image processing, inverse problems and machine learning. The demonstration not only verifies the local linear convergence behaviour of Primal–Dual splitting methods, but also the insights on how to accelerate them in practice.     

Real-time recursive estimation of statistical parameters

Recursive algorithms for the computation of standard deviation and average deviation are derived and their applications in data acquisition are discussed. The relative speeds and accuracies of the two algorithms are compared for synthetic data. The performance of recursive estimation under shot and proportional noise limitations is also described. As an example of the utility of these algorithms, absorbance data with constant confidence intervals are collected regardless of incident and transmitted intensities. The desired precision is specified prior to data acquisition and used to control signal-averaging of the data in real time.     

2,7-二氯荧光素与蛋白质相互作用的分光光度法研究

首次采用分光光度法研究了模拟生理条件(pH 7.4 Tris-HCl缓冲溶液,离子强度I=0.1)下2,7-二氯荧光素与牛血清白蛋白(BSA)相互作用的情况.研究结果表明:两者相互作用形成稳定的复合物,最大吸收波长为509nm,与2,7-二氯荧光素的最大吸收波长502nm比较,红移了7nm;两者之间主要通过静电引力结合,但并不排除疏水作用力和氢键;两者之间的结合数为32.     

氨基酸与四氰代苯醌二甲叉的荷移反应的研究

本文用分光光度法研究了 6种氨基酸与四氰代苯醌二甲叉 (简称TCNQ)之间的荷移反应。测定了配合物的不稳定常数 ,讨论了配合物的组成。考察了形成配合物的影响因素 ,确立了最佳反应条件 ,并测定了味精中谷氨酸钠的含量 ,结果令人满意     

Robust linear optimization under general norms

We explicitly characterize the robust counterpart of a linear programming problem with uncertainty set described by an arbitrary norm. Our approach encompasses several approaches from the literature and provides guarantees for constraint violation under probabilistic models that allow arbitrary dependencies in the distribution of the uncertain coefficients.     

Modules over Operator Algebras and Its Module Maps

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Dual Characterizations of Set Containments with Strict Convex Inequalities

Characterizations of the containment of a convex set either in an arbitrary convex set or in the complement of a finite union of convex sets (i.e., the set, described by reverse-convex inequalities) are given. These characterizations provide ways of verifying the containments either by comparing their corresponding dual cones or by checking the consistency of suitable associated systems. The convex sets considered in this paper are the solution sets of an arbitrary number of convex inequalities, which can be either weak or strict inequalities. Particular cases of dual characterizations of set containments have played key roles in solving large scale knowledge-based data classification problems where they are used to describe the containments as inequality constraints in optimization problems. The idea of evenly convex set (intersection of open half spaces), which was introduced by W. Fenchel in 1952, is used to derive the dual conditions, characterizing the set containments.     

NO-2-I-体系双波长紫外分光光度法测定痕量亚硝酸根

在稀盐酸介质中,亚硝酸根氧化碘化钾的反应产物I-3在288nm和352nm处有两个强吸收峰.基于此建立了双波长紫外分光光度法测定痕量NO-2的新方法.该法简便、快速、选择性好,线性范围为0-0.4μg/mL,检出限为3.4×10-9g/mL.用于河水、井水、矿泉水中亚硝酸根的测定,结果令人满意.     

二阶导数光谱-峰面积积分法同时测定芦荟中痕量铁(Ⅱ)和钴(Ⅱ)

在 1,10 -邻菲罗啉显色体系中 ,引入二阶导数光谱 -峰面积积分技术 ,建立了同时测定痕量铁 ( )和钴 ( )的新方法。该法可有效消除共存离子的干扰 ,提高了准确度和灵敏度。对铁和钴的表观摩尔吸光系数分别为 εFe5 .4 5× 10 6 L·mol-1·cm-1,εCo 1.1× 10 4 L· mol-1· cm-1;铁含量在 0 .0— 8.5 μg·m L-1,钴含量在 0 .0— 7.3μg· m L-1范围内遵守比耳定律。可用于芦荟中铁和钴的同时测定 ,结果令人满意     

邻苯二甲酸二丁酯对雌二醇与血清组分结合的影响

利用紫外分光光度法测定了邻苯二甲酸二丁酯 (DBP)、雌二醇 (E2 )与血清组分 3种物质间两两结合的二元体系和三元体系结合常数。结果表明 ,DBP、血清组分和 E2 三者之间能两两结合 ,其中以 E2 与血清组分的结合能力最强。当三者处于同一体系中 ,随着 DBP浓度的增加 ,E2 与血清组分 - DBP二元体系间的结合常数也逐渐增加 ,其最大值高出正常 E2 与血清组分结合常数 (7.5 4× 10 4mol-1· L )近一个数量级。这表明 ,DBP的存在可能不会与 E2 对血清组分进行竞争结合 ,但由于本身的结合特点 ,会减少血液中游离E2 的含量 ,从而影响细胞内雌激素的平衡