Titlebook: Optimization and Its Applications in Control and Data Sciences; In Honor of Boris T. Boris Goldengorin Book 2016 Springer International Pub

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A New Adaptive Conjugate Gradient Algorithm for Large-Scale Unconstrained Optimization, minimizing the quadratic approximation of objective function at the current point. Using a special approximation of the inverse Hessian of the objective function, which depends by a positive parameter, we get the search direction which satisfies both the sufficient descent condition and the Dai-Lia

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On Methods of Terminal Control with Boundary-Value Problems: Lagrange Approach,ional problems define implicitly initial and terminal conditions at the ends of time interval at which the controlled dynamics develops. The model describes a real situation when an object needs to be transferred from one state to another. Based on the Lagrange formalism, the model is considered as

多嘴

Optimization of Portfolio Compositions for Small and Medium Price-Taking Traders,medium price-taking traders undergo in forming and managing their portfolios of financial instruments traded in a stock exchange. Two mathematical models underlying these approaches are considered. If the trader can treat price changes for each financial instrument of her interest as those of a rand

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Indirect Maximum Likelihood Estimation,e second-stage samples are known and depend on the first-stage sample. The setup is similar to that in parametric empirical Bayes models, and arises naturally in numerous applications. However, problems arise when the number of second-level observations is not the same for all first-stage observatio