| 1. | Laplace inverse transformation and asymptotic expansion for n - times integrated c - semigroups
逆变换及渐近展开 |
| 2. | Edgeworth expansion of random weighting estimation in semi - parametric regression model
半参数回归模型随机加权估计的渐近展开 |
| 3. | The product theorem of asymptotic expansions of the energy integral for elliptic partial differential equations
椭圆型方程能量积分渐近展开的乘积定理 |
| 4. | By using the so called renormalization group method , we give a uniformly valid asymptotic expansions of the boundary value problems under consideration
利用重正化群方法，构造了该边值问题解的一致有效渐近展开式。 |
| 5. | A class of nonlinear singularly perturbed elliptical problems with boundary perturbation are considered . the uniform valid of the constructed asymptotic expansion is proved
摘要研究了一类具有边界摄动的非线性奇摄动椭圆型问题。并证明了边值问题解的渐近展开的一致有效性。 |
| 6. | Using the matching condition , a class of nonlinear singularly perturbed problems for two boundary layers are discussed . asymptotic expansion of solution for boundary value problem are obtain
摘要利用匹配条件，讨论了一类三阶非线性奇摄动问题，得出了奇摄动边值问题的渐近展开式。 |
| 7. | Firstly , the voronovskaja type formula of asymptotic expansion of this kind of operators is given . then the approximation of the bounded variation functions by the kinds of operators is discussed
第一节给出该算子的voronovskaja型渐近展开公式；第二节讨论该算子对有界变差函数的逼近。 |
| 8. | Under appropriate assumptions , the existence of solution is proved by means of the theory of differential inequalities and the uniformly valid asymptotic expansion for arbitrary nthorder is obtained
在适当的条件下，利用微分不等式理论证明?解的存在性，得到?解的任意阶近似的一致有效渐近展开式。 |
| 9. | Using the matching asymptotic expanding method , the solutions for a class of nonliear singularly perturbed problems are discussed . zero order asymptotic expansions of solution for boundary value problem are obtain
摘要利用匹配渐近展开法，讨论了一类非线性奇摄动问题的解，得出了奇摄动边值问题的零次渐近展开式。 |
| 10. | By introducing proper stretchy variable and constructing boundary layer function , it concludes n - order approximate solution , and using theory of differential inequality , uniformly validity of asymptotic expansion is proved
通过引进适当的伸长变量，构造边界层函数，得到了解的n阶近似值，并利用微分不等式理论证明了解的渐近展开式的一致有效性。 |
