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Generalized quadrature for solving singular integral equations of Abel type in application to infrared tomography

机译:求解Abel型奇异积分方程的广义正交算法在红外层析成像中的应用

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We propose the generalized quadrature methods for numerical solution of singular integral equation of Abel type. We overcome the singularity using the analytic computation of the singular integral. The problem of solution of singular integral equation is reduced to nonsingular system of linear algebraic equations without shift meshes techniques employment. We also propose generalized quadrature method for solution of Abel equation using the singular integral. Relaxed errors bounds are derived. In order to improve the accuracy we use Tikhonov regularization method. We demonstrate the efficiency of proposed techniques on infrared tomography problem. Numerical experiments show that it makes sense to apply regularization in case of highly noisy (about 10%) sources only. That is due to the known fact that Volterra equations of the first kind enjoy selfregularization property.
机译:针对Abel型奇异积分方程的数值解,我们提出了广义正交方法。我们使用奇异积分的解析计算来克服奇异性。奇异积分方程解的问题被简化为线性代数方程的非奇异系统,而无需使用移位网格技术。我们还提出了使用奇异积分求解Abel方程的广义正交方法。导出了宽松的误差范围。为了提高准确性,我们使用Tikhonov正则化方法。我们证明了提出的技术对红外层析成像问题的效率。数值实验表明,仅在高噪声(约10%)源的情况下才应用正则化是有意义的。这是由于已知的事实,第一类Volterra方程具有自正则化性质。

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