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A Parametrization Method For The Numerical Solution Of Singulardifferential Equations

机译:奇异微分方程数值解的参数化方法

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The paper explains the numerical parametrization method (PM), originally created for optimal control problems, tor classical calculus of variation problems that arise in connection with singular implicit (IDEs) and differential-algebraic equations (DAEs) in frame of their regularization. The PM for IDEs is based on representation of the required solution as a spline with moving knots and on minimization of the discrepancy functional with respect to the spline parameters. Such splines are named variational splines. For DAEs only finite entering functions can be represented by splines, and the functional under minimization is the discrepancy of the algebraic subsystem. The first and the second derivatives of the functionals are calculated in two ways - for DAEs with the help of adjoint variables, and for IDE directly. The PM does not use the notion of differentiation index, and it is applicable to any singular equation having a solution.
机译:本文解释了数值参数化方法(PM),该方法最初是为最佳控制问题而创建的,或者是针对因其正则化而与奇异隐式(IDE)和微分代数方程(DAE)相关的变异问题的经典演算。 IDE的PM基于所需解决方案的表示,该解决方案是带有运动节的样条,并且最小化了样条参数方面的差异功能。这样的样条被称为变化样条。对于DAE,只有有限的输入函数可以用样条表示,而最小化下的函数是代数子系统的差异。函数的一阶和二阶导数以两种方式计算-使用伴随变量的DAE和直接使用IDE的函数。 PM不使用微分指标的概念,它适用于任何具有解的奇异方程。

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