Results 41 to 50 of about 326,649 (319)
Particle Swarm Optimization for Hydraulic Analysis of Water Distribution Systems [PDF]
The analysis of flow in water-distribution networks with several pumps by the Content Model may be turned into a non-convex optimization uncertain problem with multiple solutions.
Naser Moosavian +1 more
doaj +1 more source
Greedy Approximation in Convex Optimization [PDF]
We study sparse approximate solutions to convex optimization problems. It is known that in many engineering applications researchers are interested in an approximate solution of an optimization problem as a linear combination of elements from a given system of elements. There is an increasing interest in building such sparse approximate solutions using
Vladimir Temlyakov, Vladimir Temlyakov
openaire +3 more sources
A Majorization-Minimization Approach to Design of Power Transmission Networks
We propose an optimization approach to design cost-effective electrical power transmission networks. That is, we aim to select both the network structure and the line conductances (line sizes) so as to optimize the trade-off between network efficiency ...
Chertkov, Michael, Johnson, Jason K.
core +1 more source
Communication and Computation Cooperation in Wireless Network for Mobile Edge Computing
The advantages of mobile edge computing (MEC) in lower energy consumption, improved bandwidth and reduced delay have attracted extensive studies. We consider a multiple smart wearable devices (SWDs) single smart mobile device (SMD) MEC system where the ...
Yang Li +4 more
doaj +1 more source
Non-convex Optimization for Machine Learning
A vast majority of machine learning algorithms train their models and perform inference by solving optimization problems. In order to capture the learning and prediction problems accurately, structural constraints such as sparsity or low rank are ...
Jain, Prateek, Kar, Purushottam
core +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method
A novel sequential convex (SCvx) optimization scheme via the Chebyshev pseudospectral method is proposed for efficiently solving the hypersonic reentry trajectory optimization problem which is highly constrained by heat flux, dynamic pressure, normal ...
Chun-Mei Yu, Dang-Jun Zhao, Ye Yang
doaj +1 more source
Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels
In this work, we investigate the capacity allocation problem in the energy harvesting wireless sensor networks (WSNs) with interference channels. For the fixed topologies of data and energy, we formulate the optimization problem when the data flow ...
Dongbin Jiao +3 more
doaj +1 more source
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
doaj +1 more source
Hypothesis testing by convex optimization [PDF]
We discuss a general approach to handling "multiple hypotheses" testing in the case when a particular hypothesis states that the vector of parameters identifying the distribution of observations belongs to a convex compact set associated with the hypothesis. With our approach, this problem reduces to testing the hypotheses pairwise.
Goldenshluger, Alexander +2 more
openaire +4 more sources

