本文探讨实义动词如何融入关系小句。首先以认知语法理论为依据,考察双重谓语表达式如何为范畴化结构或核准结构审定而成为复杂程度不等的范畴,又如何通过构件内在结构之间的对应而组合成为复杂而抽象的象征单位。然后从功能出发,考察...本文探讨实义动词如何融入关系小句。首先以认知语法理论为依据,考察双重谓语表达式如何为范畴化结构或核准结构审定而成为复杂程度不等的范畴,又如何通过构件内在结构之间的对应而组合成为复杂而抽象的象征单位。然后从功能出发,考察双重谓语表达式如何通过在不同语类和语域中语言使用的检验而成为约定俗成的语言单位,进入整体抽象式的网络,其中的实义动词也随之融入[PredAdjSbj be PredAdj]构式,也就是本文题目中简称的关系小句。展开更多
In this paper I access the degree of approximation of known symbolic approach to solving of Ginzburg-Landau (GL) equations using variational method and a concept of vortex lattice with circular unit cells, refine it i...In this paper I access the degree of approximation of known symbolic approach to solving of Ginzburg-Landau (GL) equations using variational method and a concept of vortex lattice with circular unit cells, refine it in a clear and concise way, identify and eliminate the errors. Also, I will improve its accuracy by providing for the first time precise dependencies of the variational parameters;correct and calculate magnetisation, compare it with the one calculated numerically and conclude they agree within 98.5% or better for any value of the GL parameter k and at magnetic field , which is good basis for many engineering applications. As a result, a theoretical tool is developed using known symbolic solutions of GL equations with accuracy surpassing that of any other known symbolic solution and approaching that of numerical one.展开更多
文摘本文探讨实义动词如何融入关系小句。首先以认知语法理论为依据,考察双重谓语表达式如何为范畴化结构或核准结构审定而成为复杂程度不等的范畴,又如何通过构件内在结构之间的对应而组合成为复杂而抽象的象征单位。然后从功能出发,考察双重谓语表达式如何通过在不同语类和语域中语言使用的检验而成为约定俗成的语言单位,进入整体抽象式的网络,其中的实义动词也随之融入[PredAdjSbj be PredAdj]构式,也就是本文题目中简称的关系小句。
文摘In this paper I access the degree of approximation of known symbolic approach to solving of Ginzburg-Landau (GL) equations using variational method and a concept of vortex lattice with circular unit cells, refine it in a clear and concise way, identify and eliminate the errors. Also, I will improve its accuracy by providing for the first time precise dependencies of the variational parameters;correct and calculate magnetisation, compare it with the one calculated numerically and conclude they agree within 98.5% or better for any value of the GL parameter k and at magnetic field , which is good basis for many engineering applications. As a result, a theoretical tool is developed using known symbolic solutions of GL equations with accuracy surpassing that of any other known symbolic solution and approaching that of numerical one.
