Titlebook: Optimization and Applications; 10th International C Milojica Jaćimović,Michael Khachay,Mikhail Posypki Conference proceedings 2020 Springer

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Polynomial-Time Solvability of One Optimization Problem Induced by Processing and Analyzing Quasipee observed discrete-time signal (a numerical time series) by an unobservable quasiperiodic (almost periodic) pulse signal generated by a pulse with a given pattern (reference) shape. Quasiperiodicity is understood, first, in the sense of admissible fluctuations of the interval between repetitions of

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Equity-Linked Notes Portfolio Optimization,viewed as bonds with floating coupons. The floating coupon is represented in terms of an embedded option that depends on the behavior of a certain underlying asset or a basket of them. We provide the new optimization problem by hyperbolic absolute risk aversion (HARA) utility function approach. We o

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On Optimization Problem Arising in Computer Simulation of Crystal Structures,necessary to calculate the partial derivatives of the total atoms’ system energy according to different parameters. Frequently the calculation of these derivatives is an extremely time-consuming and difficult problem. When describing and modeling the crystal structure of a material characterized by

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An Approximate Solution of a GNSS Satellite Selection Problem Using Semidefinite Programming,r phase signals can exceed several tens. On the other hand, a much smaller number of them is usually sufficient to achieve necessary precision of positioning. Also, some parts of precise positioning algorithms, like carrier phase ambiguity resolution, are very sensitive to the problem dimension as t

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Dynamic Marketing Model: The Case of Piece-Wise Constant Pricing,ntrol of the manufacturer is the price discounts, while the control of the retailer is pass-through. In the classical setting, the arising problem is quadratic with respect to wholesale price discount and pass-through. Thus, the optimal sale price is continuous. It seems elegant mathematically but n

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Preconditioned Subspace Descent Methods for the Solution of Nonlinear Systems of Equations,tion on a sequence of appropriately chosen low-dimensional subspaces. The bases of the latter are constructed using only the first-order derivatives of the function. The techniques based on the concept of the limiting stepsize along normalized direction (developed earlier by the author) is used to g

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