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Many problems in engineering analysis and design can be cast as convex optimization problems, often nonlinear and nondifferentiable. We give a high-level description of recently developed interior-poi...
Abstract: We study linear models under heavy-tailed priors from a probabilistic viewpoint. Instead of computing a single sparse most probable (MAP) solution as in standard deterministic approaches, th...
Abstract: We consider the problem of detecting a small subset of defective items from a large set via non-adaptive "random pooling" group tests. We consider both the case when the measurements are noi...
摘要 In this papers the Fritz John conditions and Kuhn-Tucker conditions for majoroptimal solutions and major efficient solutions of multiobjective programming are givenand proved.
In this paper, we use the virtual system method to estimate the parametersin a system tree and obtain a series of asymptotically efficient estimates of the interesting parameters. Section 1 is an intr...
Major efficiency is an efficiency theory of multiobjective programming, whichis based on the law of majority. For the case that the feasible region is a finite set, paper [3] gave a comparison-number ...
In this paper, we introduce the comparison number for one feasible solutioncompared with another. With the help of it the comparison-number method for finding the major optimal solutions aud major eff...
In this paper, the author gives a sufficient and necessary condition under which is the smallest possible asymptotic variance for regular estimators of β given by Schick (1986), and gives an example t...

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