Results 41 to 50 of about 3,036 (205)
International Journal for Numerical Methods in Fluids, EarlyView.This study systematically investigates the variability of cylinder flow results. We provide a comprehensive overview of literature values and, using the lattice Boltzmann method (LBM), show that insufficient convergence studies and variations in simulation parameters are a plausible cause for the significant spread in data.
Maximilian Bille +4 more
wiley +1 more source
Lagrangian Relaxation via Ballstep Subgradient Methods [PDF]
Mathematics of Operations Research, 2007 We exhibit useful properties of ballstep subgradient methods for convex optimization using level controls for estimating the optimal value. Augmented with simple averaging schemes, they asymptotically find objective and constraint subgradients involved in optimality conditions.
Krzysztof C. Kiwiel +2 more
openaire +1 more source
Researcher–Entrepreneur Relationship and Performance of Innovative Startups
International Journal of Finance &Economics, EarlyView.ABSTRACT Many innovative startups are joint ventures between researchers and entrepreneurs, who collaborate in R&D and product commercialization. Government policies such as grants, subsidies, and patent licensing fees act as Pigouvian subsidies, incentivizing R&D by bridging the gap between the social and private returns of innovation.
Yangguang Huang, Helen Hui
wiley +1 more source
Acceleration of Lagrangian Method for the Vehicle Routing Problem with Time Windows
International Journal of Industrial Engineering and Production Research, 2012 The analytic center cutting plane method (ACCPM) is one of successful methods to solve nondifferentiable optimization problems. In this paper ACCPM is used for the first time in the vehicle routing problem with time windows (VRPTW) to accelerate ...
Hadi Karimi, Abbas Seifi
doaj
EURO Journal on Computational OptimizationWe introduce a heuristic rule for calculating the stepsize in the subgradient method for unconstrained convex nonsmooth optimization which, unlike the classic approach, is based on retaining some information from previous iteration.
F. Carrabs, M. Gaudioso, G. Miglionico
doaj +1 more source
International Journal of Climatology, EarlyView.This study investigates summer Greenland atmospheric blocking using the Lagrangian tracking Python package blocktrack applied to ERA5 reanalysis and CMIP6 models. Two types of blocks—upstream (Northern Canada origin) and retrograding (Northern Atlantic origin)—are distinguished, with upstream blocks driving recent observed frequency increasing trends ...
Michele Filippucci +2 more
wiley +1 more source
Limnology and Oceanography: Methods, EarlyView.Abstract Tailwaters are ubiquitous and highly managed ecosystems whose food webs often rely disproportionately on autochthonous energy. In situ continuous dissolved oxygen data are increasingly being used to estimate gross primary productivity and ecosystem respiration in rivers, but this approach is complicated in tailwaters, where upriver ...
Ian W. Bishop +5 more
wiley +1 more source
LOWER BOUNDS OF THE CRITERIUM IN THE PROBLEM OF ASSIGNEMENT OF TRAINS ON THE TIME SLOTS
Informatika, 2016 In this paper we consider the container transshipment problem at a railway hub. New lowerbounds are developed. One lower bound is based on the linear relaxation of the integer linear formulation, and the other lower bound is based on the Lagrangian ...
M. S. Barketau, H. Kopfer, E. Pesch
doaj
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy +2 more
wiley +1 more source
Production planning problem with market impact under demand uncertainty
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2017 In this paper, we consider the production planning problem for a single manufacturer with the investment to improve the market impact under demand uncertainty.
Takuya AOYAMA +2 more
doaj +1 more source