Very Large-Scale Singular Value Decomposition Using Tensor Train Networks [PDF]
, 2014 We propose new algorithms for singular value decomposition (SVD) of very large-scale matrices based on a low-rank tensor approximation technique called the tensor train (TT) format. The proposed algorithms can compute several dominant singular values and
Cichocki, Andrzej, Lee, Namgil
core +1 more source
Large-Scale Path-Dependent Optimization of Supersonic Aircraft
Aerospace, 2020 Aircraft are multidisciplinary systems that are challenging to design due to interactions between the subsystems. The relevant disciplines, such as aerodynamic, thermal, and propulsion systems, must be considered simultaneously using a path-dependent ...
John P. Jasa +4 more
doaj +1 more source
Selective Simulated Annealing for Large Scale Airspace Congestion Mitigation
Aerospace, 2021 This paper presents a methodology to minimize the airspace congestion of aircraft trajectories based on slot allocation techniques. The traffic assignment problem is modeled as a combinatorial optimization problem for which a selective simulated ...
Julien Lavandier +4 more
doaj +1 more source
Improved sine cosine algorithm for large-scale optimization problems
Shenzhen Daxue xuebao. Ligong ban, 2022 Aiming at the shortcomings of the sine cosine algorithm (SCA) in solving the large-scale optimization problems, such as low accuracy, slow convergence speed, and being easy to fall into the dimension disaster, we propose an sine cosine algorithm with ...
ZHANG Chao, YANG Yi
doaj +1 more source
Large-Scale Convex Optimization for Dense Wireless Cooperative Networks
, 2015 Convex optimization is a powerful tool for resource allocation and signal processing in wireless networks. As the network density is expected to drastically increase in order to accommodate the exponentially growing mobile data traffic, performance ...
Letaief, Khaled B. +3 more
core +2 more sources
Maritime coverage enhancement using UAVs coordinated with hybrid satellite-terrestrial networks [PDF]
, 2019 Due to the agile maneuverability, unmanned aerial vehicles (UAVs) have shown great promise for on-demand communications. In practice, UAV-aided aerial base stations are not separate.
Chen, Yunfei +4 more
core +2 more sources
A modified three-term conjugate gradient method for large –scale optimization
Tikrit Journal of Pure Science, 2020 We propose a three-term conjugate gradient method in this paper . The basic idea is to exploit the good properties of the BFGS update. Quasi – Newton method lies a good efficient numerical computational, so we suggested to be based on BFGS method ...
Zaydan B. Mohammed +2 more
doaj +1 more source
Modifications of the Limited Memory BFGS Algorithm for Large-scale Nonlinear Optimization [PDF]
, 2005 In this paper we present two new numerical methods for unconstrained large-scale optimization. These methods apply update formulae, which are derived by considering different techniques of approximating the objective function.
Hassan, Malik Abu, June, Leong Wah
core +1 more source
Large-scale smooth plastic topology optimization using domain decomposition
Comptes Rendus. Mécanique, 2021 A domain decomposition procedure based on overlapping partitions of the design domain is proposed for solving large problems of smooth topology optimization of plastic continua.
Fourati, Mohamed +3 more
doaj +1 more source
Large-Scale Convex Optimization for Ultra-Dense Cloud-RAN
, 2015 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