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Burning Numbers of Barbells
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作者 Hui-qing LIU Rui-ting ZHANG Xiao-lan HU 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2024年第2期526-538,共13页
Motivated by a discrete-time process intended to measure the speed of the spread of contagion in a graph,the burning number b(G)of a graph G,is defined as the smallest integer k for which there are vertices x1,…xk su... Motivated by a discrete-time process intended to measure the speed of the spread of contagion in a graph,the burning number b(G)of a graph G,is defined as the smallest integer k for which there are vertices x1,…xk such that for every vertex u of G,there exists i∈{1,…k}with dG(u,xi)≤k−i,and dG(xi,xj)≥j−i for any 1≤i<j≤k.The graph burning problem has been shown to be NP-complete even for some acyclic graphs with maximum degree three.In this paper,we determine the burning numbers of all short barbells and long barbells,respectively. 展开更多
关键词 burning number short/long barbell isometric subtree CYCLE
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Effects of chemical reaction and heat generation/absorption on magnetohydrodynamic(MHD)Casson fluid flow over an exponentially accelerated vertical plate embedded in porous medium with ramped wall temperature and ramped surface concentration 被引量:3
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作者 Hari R.Kataria Harshad R.Patel 《Propulsion and Power Research》 SCIE 2019年第1期35-46,共12页
This article studies effects of heat generation/absorption and chemical reaction on the unsteady magnetohydrodynamic(MHD)Casson fluid flow past over exponentially accelerated vertical plate embedded in porous medium.I... This article studies effects of heat generation/absorption and chemical reaction on the unsteady magnetohydrodynamic(MHD)Casson fluid flow past over exponentially accelerated vertical plate embedded in porous medium.It is assumed that the bounding plate has ramped temperature with ramped surface concentration and isothermal temperature with ramped surface concentration.This phenomenon is modeled in the form of system of partial differential equations with initial and boundary conditions.The goveming dimensionless equations are solved using Laplace transfom technique and expressions for velocity,temperature and concentration profiles are obtained.Expressions for skin friction,Nusselt number and Sherwood number are also derived and represented in tabular form.Effect of pertinent parameters on velocity,temperature and concentration profiles are presented through graphically. 展开更多
关键词 Magneto hydrody-namics Casson fluid Skin friction Nusselt number Sherwood number
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DESCENT DIRECTION STOCHASTIC APPROXIMATION ALGORITHM WITH ADAPTIVE STEP SIZES
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作者 Zorana Luzanin Irena Stojkovska Milena Kresoja 《Journal of Computational Mathematics》 SCIE CSCD 2019年第1期76-94,共19页
A stochastic approximation (SA)algorithm with new adaptive step sizes for solving unconstrained minimization problems in noisy environment is proposed.New adaptive step size scheme uses ordered statistics of fixed num... A stochastic approximation (SA)algorithm with new adaptive step sizes for solving unconstrained minimization problems in noisy environment is proposed.New adaptive step size scheme uses ordered statistics of fixed number of previous noisy function values as a criterion for accepting good and rejecting bad steps.The scheine allows the algorithm to move in bigger steps and avoid steps proportional to 1/k when it is expected that larger steps will improve the performance.An algorithin with the new adaptive scheme is defined for a general descent direction.The ahnost sure convergence is established.The performance of new algorithm is tested on a set of standard test problems and compared with relevant algorithms.Numerical results support theoretical expectations and verify efficiency of the algorithm regardless of chosen search direction and noise level.Numerical results on probleins arising in machine learning are also presented.Linear regression problem is considered using real data set.The results suggest that the proposed algorithln shows proinise. 展开更多
关键词 UNCONSTRAINED OPTIMIZATION STOCHASTIC OPTIMIZATION STOCHASTIC APPROXIMATION NOISY function Adaptive step size DESCENT direction Linear regression model
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