解初值问题y"=g(x,y)的含参数块方法

1引言对于二阶常微分方程的初值问题y″=g(x,y),y(x_0)=y_0,y′(x_0)=y_0′,x_0(?)x(?)T(1)的数值解法的研究引起人们的广泛兴趣．对于直接积分(1),自从1976年J．D．Lambert和I．A．Waston提出二阶P-稳定方法和1978年G．Dahlquist证明P-稳定常系数线性多步方法的最高相容阶不超过2的重要结论以来,截止目前,已积累了许多高于2阶的P-稳定方法．例如,修正的Numerov方法,混合法(特殊形式RK的方法),多导法,Obrechkoff方法,显式RKN方法,单隐方法和对角隐式RKN方法等(顺便指出,文献[5,16]中所说的高阶方法的相容阶均不超过4)．所有这些方法,有些相     

解初值问题Y＇＇=g（x，y）的含参数块方法

引言 对于二阶常微分方程的初值问题 y＇＇=g（x,y）,y（x0）=y0,x0≤x≤T 的数值解法的研究引起人们的广泛兴趣．对于直接积分（1），自从1976年J．D．Lambert和I.A．waston[1]提出二阶P-稳定方法和1978年G．Dahlquist[2]证明P-稳定常系数线性多步方法的最高相容阶不超过的重要结论以来，截止目前，     

解y"=g(x,y)初值问题含参数线性多步方法的相容阶和收敛阶

1 引 言对于直接积分二阶常微分方程的初值问题 y"=g(x,y) y (x_0)=y_0,y'(x_0)=y"_0,x_0 x T,(1)     

中点弦所在的直线方程

已知平面上一点M(x_0,y_0)以及二次曲线C: Ax~2+Bxy+Cy~2+Dx+Ey+F=0 (1)简记为G(x,y)=0。又方程Ax_o+B(y_0+x_0y)/2+Cy_0+D(x+x_0)/2+E(y+y_0)/2+F=0简记为 G＇_(x_0,y_0)(x,y)=0 (2)显然有① G＇_(x_0,y_0)(x,y)=G＇_(x,y)(x_0,y_0) ② G＇_(x_0,y_0)(x_0,y_0)=G(x_0,y_0)我们有如下众所周知的结论1)当M(x_0,y_0)在曲线(1)上时,方程(2)表     

当△=AC—B^2=0时,对二元函数极值的探讨

设二元函数f(x,y)有稳定点P(x_0,y_0),并设f_(xx)(x_0,y_0)=A,f″_(xy)(x_0,y_0)=B,f″_(yy)(x_0,y_0)=C,△=AC-B~。当△=AC-B~2=0时,f(x,y)在点P(x_0,y_0)处是否有极值的问题,一般教科书都未进行过具体地讨论,本文对这一问题进行了初步地探     

利用梯度概念求条件极值

本文介绍利用梯度概念求条件极值的问题.定理 设函数u=f(x,y,z)、(?)(x,y,z)及(?)(x,y,z)在点P_0(x_0,y_0,z_0)的某一邻域内均有一阶连续的偏导数,且,则函数u=f(x,y,z)在条件(?)(x,y,z)=0及(?)(x,y,z)=0下取得极值的必要条件为gradf(x_0,y_0,z_0)=λgrad(?)(x_0,y_0,z_0) μgrad(?)(x_0,y_0,z_0)(?)(x_0,y_0,z_0)=0,(?)(x_0,y_0,z_0)=0.其中λ、μ为常数.     

圆锥曲线划分平面的定理及其证明

关于直线划分平面有一个容易记忆,应用方便的重要结论。即,直线l:f(x,y)≡Ax+By+C=0(简记为f(x,y)=0)把平面上不在l上的点划分成两个区域,点P_1(x_1,y_1)和P_2(x_2,y_2)在同一个区域(或在不同区域)的充要条件是函数值f(x_1,y_1)和f(x_2,y_2)同号(或异号)(见文[2])。对于圆锥曲线Γ:F(x,y)≡Ax~2+2Bxy+Cy~2+2Dx+2Ey+F=0(简记为F(x,y)=0),如果我们约定,圆     

关于保凸Spline插值方法

§1.引言 本文讨论保凸插值方法和单调保凸插值问题.设a=x_0相似文献   

常微分方程的Gear差分方法收敛性的充要条件

(一)引言 设m个未知函数的一阶常微分方程组 dy~i/dx=f~i(x,y~1,y~2,…,y~m)(i=1,2,…,m)和初始条件 y’(x_0)=y_0~1,y~2(x_0)=y_0~2,…,y~m(x_0)=y_0~m。以下,我们将用熟知的向量记号,把上述微分方程组和初始条件分别写成     

圆的直径式方程

<正>若圆的直径的两个端点为A(x_1,y_1),B(x_2,y_2),则此圆的方程可这样求:设圆上任一点为P(x,y),我们有AP⊥BP,即AP·BP=0.而AP=(x-x_1,y-y_1),BP=(x-x_2,y-y_2).∴圆方程为(x-x_1)(x-x_2)+(y-y_1)(y-y_2)=0,即x²+y2+y²-(x_1+x_2)-(y_1+y_2)+(x_1x_2+y_1y_2)=0.     

EXPLICIT TWO-STEP HIGH-ACCURACY METHODS FOR y" = f(x,y)

In this paper, an almost P-stable two-step sixth-order Hybrid method with phase-lag of order infinity and a class explicit eighth-order Obreckoff methods with phase-lag of order 10-24 are developed for the numerical integration of the special second-order periodic initial-value problems. These methods have the advantage of higher algebraic order and considerably smaller phase-tag compared with some methods in [1-6]. Numerical examples indicate that these new methods are more accurate than methods developed by [1-6].     

一类隐式的k+1阶线性k步法

本文首先给出了一类比Adams-Moulton方法的绝对稳定区间大的隐式k+1阶线性k步法基本公式.求出了3-9步新公式的分数形式的精确系数,阶数,局部截断误差主项系数和绝对稳定区间,然后构造了由4阶隐式新公式和同阶显式Nyström公式组合而成的预估-校正方法,比著名的Adams-Bashforth-Moulton和Nyström-Adams-Moulton预估校正方法的绝对稳定区间大,最后用对比数值试验对结果进行了验证.     

Variable stepsize implementation of multistep methods for y″=f(x,y,y′)

The Falkner method is a multistep scheme intended for the numerical solution of second-order initial value problems where the first derivative does appear explicitly. In this paper, we develop a procedure to obtain k-step Falkner methods (explicit and implicit) in their variable step-size versions, providing recurrence formulas to compute the coefficients efficiently. Considering a pair of explicit and implicit formulae, these may be implemented in predictor–corrector mode.     

一类显式的k阶线性k步法基本公式

本文给出了一类比Adams-Bashforth方法的局部截断误差主项系数小和绝对稳定区间大的显式k阶线性k步法基本公式.作者求出了公式的分数形式的精确系数,阶数和局部截断误差主项系数,给出了3-9步公式的绝对稳定区间,构造了由新公式的4阶显式公式和一个同阶隐式基本公式组合而成的特殊预估-校正方法,它的绝对稳定区间大于预估公式而且等于校正公式, 比著名的Adams-Bashforth-Moulton预估校正方法的绝对稳定区间大, 最后用数值试验对结果进行了验证,适合于求解常微分方程初值问题.     

Numerical methods for Hamilton Jacobi functional differential equations

Initial and initial boundary value problems for first order partial functional differential equations are considered. Explicit difference schemes of the Euler type and implicit difference methods are investigated. The following theoretical aspects of the methods are presented. Sufficient conditions for the convergence of approximate solutions are given and comparisons of the methods are presented. It is proved that assumptions on the regularity of given functions are the same for both the methods. It is shown that conditions on the mesh for explicit difference schemes are more restrictive than suitable assumptions for implicit methods. There are implicit difference schemes which are convergent and corresponding explicit difference methods are not convergent. Error estimates for both the methods are construted.     

随机延迟微分方程的全隐式Euler方法

研究随机延迟微分方程数值解具有重要的意义,目前已有显式和半隐式两种数值方法,还没有全隐式的数值方法.本文构造了一种全隐式Euler方法,在该方法中用一些截断的随机变量代替维纳过程增量△W<,n>,接着证明了全隐式方法是1/2阶收敛的并通过数值实验验证了该方法的收敛性.最后,用数值实验表明在某些情况下全隐式方法的稳定性比半隐式方法好一些.     

Continuous block implicit hybrid one-step methods for ordinary and delay differential equations

A class of high order continuous block implicit hybrid one-step methods has been proposed to solve numerically initial value problems for ordinary and delay differential equations. The convergence and Aω-stability of the continuous block implicit hybrid methods for ordinary differential equations are studied. Alternative form of continuous extension is constructed such that the block implicit hybrid one-step methods can be used to solve delay differential equations and have same convergence order as for ordinary differential equations. Some numerical experiments are conducted to illustrate the efficiency of the continuous methods.     

Modified Implicit–Explicit BDF Methods for Nonlinear Parabolic Equations

Implicit–explicit multistep methods for nonlinear parabolic equations were recently analyzed. If the implicit scheme is one of the backward differentiation formulae (BDF) of order up to six, then the corresponding implicit–explicit method of the same order is stable provided the stability constant is less than a specific scheme-dependent constant. Based on BDF, implicit methods are constructed such that the corresponding implicit–explicit scheme of the same order exhibits improved stability properties.