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Abstract: We study the data-driven finite-horizon linear quadratic regularization (LQR) problem reformulated as a semidefinite program (SDP). Our contribution is to propose two novel accelerated first ...
Provides a lightweight, self-contained Python environment that you can use from a usb , network share , folder. It includes all the most commonly used Python modules and allows you to run Python ...
Abstract: This paper investigates an agricultural planting strategy that integrates simulated annealing algorithm and linear programming. Addressing the crop planting issues in mountainous regions of ...
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