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两类非线性波动方程和局域性问题 被引量:3
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作者 沈惠川 《北京广播学院学报(自然科学版)》 2000年第1期11-19,共9页
本文定义了两类非线性波动方程。可以由非线性自作用项和“量子势” (或相当的项 )共同确定孤子形状和参数的方程称为第一类非线性波动方程。由于不存在“量子势”而无法确定孤子形状和参数的非线性波动方程称为第二类非线性波动方程。
关键词 线波动方程 量子势 孤子解 局域性问题
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CTE Solvability, Nonlocal Symmetry and Explicit Solutions of Modified Boussinesq System 被引量:4
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作者 任博 程雪苹 《Communications in Theoretical Physics》 SCIE CAS CSCD 2016年第7期84-92,共9页
A consistent tanh expansion(CTE) method is used to study the modified Boussinesq equation. It i proved that the modified Boussinesq equation is CTE solvable. The soliton-cnoidal periodic wave is explicitly given by a ... A consistent tanh expansion(CTE) method is used to study the modified Boussinesq equation. It i proved that the modified Boussinesq equation is CTE solvable. The soliton-cnoidal periodic wave is explicitly given by a nonanto-BT theorem. Furthermore, the nonlocal symmetry for the modified Boussinesq equation is obtained by th Painlev′e analysis. The nonlocal symmetry is localized to the Lie point symmetry by introducing one auxiliary dependen variable. The finite symmetry transformation related with the nonlocal symemtry is obtained by solving the initia value problem of the prolonged systems. Thanks to the localization process, many interaction solutions among soliton and other complicated waves are computed through similarity reductions. Some special concrete soliton-cnoidal wav interaction behaviors are studied both in analytical and graphical ways. 展开更多
关键词 modified Boussinesq equation CTE method nonlocal symmetry symmetry reduction
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An improved trust region method for unconstrained optimization 被引量:5
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作者 ZHOU QingHua ZHANG YaRui +2 位作者 XU FengXia GENG Yan SUN XiaoDian 《Science China Mathematics》 SCIE 2013年第2期425-434,共10页
In this paper,we propose an improved trust region method for solving unconstrained optimization problems.Different with traditional trust region methods,our algorithm does not resolve the subproblem within the trust r... In this paper,we propose an improved trust region method for solving unconstrained optimization problems.Different with traditional trust region methods,our algorithm does not resolve the subproblem within the trust region centered at the current iteration point,but within an improved one centered at some point located in the direction of the negative gradient,while the current iteration point is on the boundary set.We prove the global convergence properties of the new improved trust region algorithm and give the computational results which demonstrate the effectiveness of our algorithm. 展开更多
关键词 unconstrained optimization trust region methods global convergence negative gradient direction ITERATIVE
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