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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-LiaIge326 发表于 2025-3-22 21:59:16
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 发表于 2025-3-23 03:09:01
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 randcochlea 发表于 2025-3-23 07:56:49
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