Efficient, high‐frequency, parabolic‐equation modeling with surface scattering loss

1988 ◽  
Vol 83 (S1) ◽  
pp. S10-S10
Author(s):  
Martha E. M. Head ◽  
Eleanor S. Holmes ◽  
Lewis B. Dozier ◽  
W. Jobst
Keyword(s):  
Parabolic Equation ◽  
High Frequency ◽  
Surface Scattering ◽  
Equation Modeling ◽  
Scattering Loss

On the solutions of a fourth order parabolic equation modeling epitaxial thin film growth

2016 ◽  
Vol 66 (3) ◽  
Author(s):  
Ning Duan ◽  
Xiaopeng Zhao ◽  
Xiufang Zhao
Keyword(s):  
Thin Film ◽  
Parabolic Equation ◽  
Fourth Order ◽  
Film Growth ◽  
Thin Film Growth ◽  
Equation Modeling ◽  
Epitaxial Thin Film ◽  
Epitaxial Thin Film Growth ◽  
Order Parabolic Equation ◽  
Fourth Order Parabolic Equation

AbstractIn this paper, we study the existence and uniqueness of global weak solution, the regularity of the solutions and the existence of global attractor for a fourth order parabolic equation modeling epitaxial thin film growth with Neumann boundary conditions in two space dimensions.

scholarly journals High‐frequency bistatic ocean surface scattering

1993 ◽  
Vol 94 (3) ◽  
pp. 1890-1890
Author(s):  
Richard Lee Culver ◽  
Peter Neuman
Keyword(s):  
High Frequency ◽  
Ocean Surface ◽  
Surface Scattering

scholarly journals The Impact of Physical Environment and Regional Image on Tourist’s Experiential Values and Feelings: An Example of Nanzhuang Area in Taiwan

2015 ◽  
Vol 10 (11) ◽  
pp. 94
Author(s):  
Shwu-Ing Wu ◽  
Li Chia Huang
Keyword(s):  
Significant Influence ◽  
Physical Environment ◽  
High Frequency ◽  
Low Frequency ◽  
Equation Modeling ◽  
Independent Variables ◽  
Frequency Group ◽  
Experiential Value ◽  
The Impact ◽  
Two Independent Variables

With the booming global tourism activities, many countries around the world are actively promoting regional tourism. Thus, understanding the tourists’ needs is important in developing tourism promotion strategies. With Nanzhuang Township, Miaoli County as the case study, this paper discusses the influence of the two independent variables, the tangible physical environment and the intangible regional image, tourists’ experiential value and the feelings after tourism. This study conducted a questionnaire survey on tourists who have visited Nanzhuang Township, Miaoli County, by convenience sampling, in order to construct the model of regional experience marketing effect. A total of 743 effective samples were retrieved. After analysis by structural equation modeling (SEM), it is found that: (1) the physical environment has a positive and significant influence on the tourists’ experiential value; (2) regional image has a positive and significant influence on the tourist’s experiential value; (3) the experiential value has a positive and significant influence on satisfaction; (4) satisfaction has a positive and significant influence on trust and commitment; (5) trust has no significant influence on commitment. Regarding the two independent variables, regional image has more influence. In addition, after comparing the group models by clustering with the high and low frequency of the number of visits, it is found that there are some differences between the high frequency group and the low frequency group, where the regional image of the high frequency group has a greater influence on the experiential value and the physical environment of the low frequency group has a greater influence on the experiential value. The findings can serve as reference for the local government and the tourism operators to develop regional marketing strategies.

Efficient parabolic equation modeling with shear (SCRAM)

2011 ◽  
Vol 130 (4) ◽  
pp. 2413-2413
Author(s):  
Richard L. Campbell ◽  
Kevin D. Heaney ◽  
Alec J. Duncan ◽  
Robert D. McCauley
Keyword(s):  
Parabolic Equation ◽  
Equation Modeling
Sign in / Sign up

Export Citation Format

Share Document