Results 61 to 70 of about 453 (143)

Optimal Power Flow for radial and mesh grids using semidefinite programming

TecnoLógicas, 2017
This paper presents a convex formulation for optimal power flow (OPF) in both radial and meshed grids. A semidefinite programming (SDP) approximation transforms the quadratic non-convex model into a relaxed convex quadratic model, which can be more ...
Oscar D. Montoya-Giraldo, Walter J. Gil-González, Alejandro Garcés-Ruíz   +2 more
doaj  

Variational learning algorithms for quantum query complexity

New Journal of Physics
Quantum query complexity is pivotal in the analysis of quantum algorithms, encompassing well-known examples like search and period-finding algorithms. These algorithms typically involve a sequence of unitary operations and oracle calls dependent on an ...
Zipeng Wu, Shi-Yao Hou, Chao Zhang, Lvzhou Li, Bei Zeng   +4 more
doaj   +1 more source

Real-Time Scheduling of V2G Electric Vehicles in Distribution Networks Using SDP-Based Rolling-Horizon Optimization

Applied Sciences
This paper develops a real-time rolling-horizon optimization framework based on semidefinite programming (SDP) for vehicle-to-grid (V2G)-enabled electric vehicle (EV) fleets in distribution networks.
Lingda Kong, Sijun Qin, Jiran Zhu, Mingyu Zhang, Zhenzhuo Shan, Yongliang Yang   +5 more
doaj   +1 more source

Physical-Layer Multicasting Design for Downstream G.fast DSL Transmission

IEEE Access, 2019
This paper studies the physical-layer multicasting design for downstream G.fast digital subscriber line (DSL) transmission, which corresponds to a multi-user multi-tone (i.e., multi-carrier) scenario. The design goal is to maximize the weighted-sum-group-
Wouter Lanneer, Ya-Feng Liu, Wei Yu, Marc Moonen   +3 more
doaj   +1 more source

Dual Spectral Semidefinite Programming: A Unified Optimization Framework for Dual SDP and Maximum Eigenvalue Optimization

The maximum eigenvalue optimization problem plays a crucial role in robust control, machine learning, combinatorial optimization, and signal processing. On the other hand, semidefinite programming (SDP) and its dual theory provide powerful mathematical tools for matrix inequality optimization.
openaire   +1 more source

Data dissemination scheduling algorithm for V2R/V2V in multi-channel VANET

Tongxin xuebao, 2019
Considering that the data dissemination in multi-channel VANET (vehicular ad hoc network),a cooperative data dissemination scheduling algorithm was introduced for V2R(vehicle to roadside unit) and V2V(vehicle to vehicle).The algorithm created initial ...
Xin PENG, Qingyong DENG, Shujuan TIAN, Haolin LIU, Wenwu XIE, Renfa LI   +5 more
doaj   +2 more sources

Joint transceiver beamforming in MIMO cognitive radio network

Tongxin xuebao, 2015
An iterative SDP-MMSE algorithm based on semidefinite programs (SDP) and minimum mean squared error (MMSE) was introduced to minimize the total transmit power. And a further approach on the max-min fairness beam-forming was presented.
Yan GUO, Fang-jun ZHU, Ning LI, Xiao-yun YUAN   +3 more
doaj   +2 more sources

Joint beamforming for multiuser SCFDE block transmission system in frequency selective MIMO channels

Tongxin xuebao, 2013
Single carrier frequency domain equalization (SCFDE) joint beamforming in frequency selective multiple input multiple output (MIMO) channels under the multi-user scenario was analyzed.Firstly,the frequency domain beamforming was transformed to a time ...
Li-zhou Xu, Jian JIANG, Sheng DING, Ying-guan WANG   +3 more
doaj   +2 more sources

Low complexity beamspace super‐resolution for direction‐of‐arrival estimation via prior information encoding

IET Radar, Sonar & Navigation
Beamspace processing is widely applied in Direction‐of‐Arrival (DOA) estimation thanks to dimensional reduction and super‐resolution characterisations.
Pan Jie
doaj   +1 more source

A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert. [PDF]

Sensors (Basel), 2023
Keren D, Osadchy M, Shahar A.
europepmc   +1 more source