Results 61 to 70 of about 4,731,628 (237)
Research on Energy Efficiency of Wireless Powered Communication Network in Cognitive Radio Environment [PDF]
In order to improve the energy efficiency of Wireless Powered Communication Network(WPCN),a multiple signal source acquisition model in cognitive radio environment is established.Because the model optimization problem is a non-convex problem,it is ...
FENG Gang,QIN Xizhong,JIA Zhenhong,NIU Hongmei,WANG Zhehui
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Rapid ascent trajectory optimization of rocket-based combined cycle hypersonic vehicle
The ascent trajectory design of a rocket-based combined cycle (RBCC) hypersonic vehicle has many typical characteristics, including the complex working mode of the RBCC power system, strong coupling between thrust and flight state, strong nonlinear model
YAN Xunliang +3 more
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Large-Scale Convex Optimization for Ultra-Dense Cloud-RAN
The heterogeneous cloud radio access network (Cloud-RAN) provides a revolutionary way to densify radio access networks. It enables centralized coordination and signal processing for efficient interference management and flexible network adaptation. Thus,
Bai, Bo +4 more
core +2 more sources
A hypothesis about the rate of global convergence for optimal methods (Newtons type) in smooth convex optimization [PDF]
In this paper we discuss lower bounds for convergence of convex optimization methods of high order and attainability of this bounds. We formulate a hypothesis that covers all the cases.
Alexander Vladimirovich Gasnikov +1 more
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A high-precision online trajectory optimization method combining convex optimization and Radau pseudospectral method is presented for the large attitude flip vertical landing problem of a starship-like vehicle. During the landing process, the aerodynamic
Hongbo Chen +3 more
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Convex optimization using quantum oracles [PDF]
We study to what extent quantum algorithms can speed up solving convex optimization problems. Following the classical literature we assume access to a convex set via various oracles, and we examine the efficiency of reductions between the different ...
Joran van Apeldoorn +3 more
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Towards Practical Differentially Private Convex Optimization
Building useful predictive models often involves learning from sensitive data. Training models with differential privacy can guarantee the privacy of such sensitive data. For convex optimization tasks, several differentially private algorithms are known,
Roger Iyengar +5 more
semanticscholar +1 more source
Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization
Convex optimization, rather than a non-convex approach, still play important roles in many computer science applications because of its exactness and efficiency.
Tatsuya Yokota, Hidekata Hontani
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This paper presents the development of a new hybrid optimization technique termed as Immune-Commensal-Evolutionary Programming (ICEP) and its implementation to solve non-smooth/ non-convex Economic Dispatch (ED) problem.
Mohd Helmi Mansor +5 more
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Robust Secure Resource Allocation for RIS-Aided SWIPT Communication Systems
Aiming at the influence of channel uncertainty, user information leakage and harvested energy improvement, this paper proposes a robust resource allocation algorithm for reconfigurable intelligent reflector (RIS) multiple-input single-output systems ...
Bencheng Yu, Zihui Ren, Shoufeng Tang
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