Results 31 to 40 of about 27,887 (259)
Optimal Power Allocation With Multiple Joint Associations in Multi-User MIMO Full-Duplex Systems
IEEE Access, 2023 Optimum power allocation is an effective way to mitigate residual self-interference and inter-user interference in multiple input multiple output full-duplex (FD) systems.
Kunbei Pan, Bin Zhou, Zhiyong Bu
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Revista de Matemática: Teoría y Aplicaciones, 2009 When cash becomes available in a company, there are several strategies that allow us to benefit from it. The problem is how much to invest, for how long, and using which of the investment options in order to get the maximum profit out of it.
Juan Flores +3 more
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A new efficient RLF-like algorithm for the vertex coloring problem [PDF]
Yugoslav Journal of Operations Research, 2016 The Recursive Largest First (RLF) algorithm is one of the most popular greedy heuristics for the vertex coloring problem. It sequentially builds color classes on the basis of greedy choices.
Adegbindin Mourchid +2 more
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A Comparison of Greedy Algorithm and Dynamic Programming Algorithm [PDF]
SHS Web of Conferences, 2022 Two algorithms to handle the problem include greedy algorithms and dynamic programming. Because of their simplicity, intuitiveness, and great efficiency in addressing problems, they are frequently employed in a variety of circumstances.
Chen Xiaoxi
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Bit-filling algorithm for fast subcarrier-selecting in ultrasonic through-metal communication
Tongxin xuebao, 2020 Aiming at the high complexity of the greedy bit-filling algorithm,a bit-filling algorithm for fast subcarrier-selecting used in ultrasonic through-metal communication was proposed.The approximate expression for the BER increment,which was used as the ...
Linsen XU +3 more
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Applied Sciences, 2018 The goal of phase retrieval is to recover an unknown signal from the random measurements consisting of the magnitude of its Fourier transform. Due to the loss of the phase information, phase retrieval is considered as an ill-posed problem.
Zhuolei Xiao +4 more
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Greedy Firefly Algorithm for Optimizing Job Scheduling in IoT Grid Computing
Sensors, 2022 The Internet of Things (IoT) is defined as interconnected digital and mechanical devices with intelligent and interactive data transmission features over a defined network.
Adil Yousif +6 more
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The weighted property (A) and the greedy algorithm
Journal of Approximation Theory, 2019 We investigate various aspects of the "weighted" greedy algorithm with respect to a Schauder basis. For a weight w, we describe w-greedy, w-almost-greedy and w-partially-greedy bases, and show some properties of w-semi-greedy bases. To achieve these goals, we introduce and study the w-Property (A).
Pablo M. Berná +4 more
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A greedy stacking algorithm for model ensembling and domain weighting
BMC Research Notes, 2020 Objective Because it is impossible to know which statistical learning algorithm performs best on a prediction task, it is common to use stacking methods to ensemble individual learners into a more powerful single learner.
Christoph F. Kurz +2 more
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Greedy algorithms: a review and open problems
Journal of Inequalities and ApplicationsGreedy algorithms are a fundamental class of mathematics and computer science algorithms, defined by their iterative approach of making locally optimal decisions to approximate global optima. In this review, we focus on two greedy algorithms.
Andrea García
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