Titlebook: Optimization and Applications; 11th International C Nicholas Olenev,Yuri Evtushenko,Vlasta Malkova Conference proceedings 2020 Springer Nat

Cupidity

barium-study

Optimization Problems in Tracking Control Design for an Underactuated Ship with Feedback Delay, Stal that implements the goal should be designed taking into account feedback delay as well as state and control constraints. The purpose is to propose a control law such that, on the one hand, it has the form of explicit feedback, on the other hand, its parameters can be found using standard software

FEIGN

Theorems of Alternative and Optimization,al of a system of linear equations/inequalities and the necessary and sufficient conditions for the minimum of this problem. Minimizing the residuals of an inconsistent system makes it easy to calculate the normal solution to a consistent system. The connection between Farkas’ theorem and linear and

HARP

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Method of Parametric Correction in Data Transformation and Approximation Problems,e measure of approximation of the initial data, the . metric is used, which has a probabilistic rationale as a maximum likelihood method for two-sided exponential noise distribution. This approximation problem can also be interpreted as an improper (has no solution) interpolation problem, for which

FILLY

On the Use of Decision Diagrams for Finding Repetition-Free Longest Common Subsequences,n two input strings and in which each character appears at most once. Our approach is to transform a RFLCS instance to an instance of the maximum independent set (MIS) problem which is subsequently solved by a mixed integer linear programming solver. To reduce the size of the underlying conflict gra

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Distributing Battery Swapping Stations for Electric Scooters in an Urban Area,iew. For the considered electric scooters batteries can be swapped quickly in a few simple steps. Depleted batteries are recharged at these swapping stations and provided again to customers once fully charged. Our goal is to identify optimal battery swapping station locations as well as to determine

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Optimal Combination of Tensor Optimization Methods,his case, to accelerate optimization, we propose a general framework allowing to obtain near-optimal oracle complexity for each function in the sum separately, meaning, in particular, that the oracle for a function with lower Lipschitz constant is called a smaller number of times. As a building bloc

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