Titlebook: Numerical Methods for the Solution of Ill-Posed Problems; A. N. Tikhonov,A. V. Goncharsky,A. G. Yagola Book 1995 Springer Science+Business

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巨頭

合乎習(xí)俗

豪華

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frozen-shoulder

Book 1995ely known. But such problems often turn out to beill-posed, having no solution, or a non-unique solution, and/or anunstable solution. Non-existence and non-uniqueness can usually beovercome by settling for `generalised‘ solutions, leading to the needto develop regularising algorithms. .The theory of

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STAT

Algorithms for the approximate solution of ill-posed problems on special sets, solution of the problem belongs to .↓., .., .↓.. A uniform approximation to the exact solution of the problem can be constructed if the exact solution is a continuous function of bounded variation. We now turn to the second problem: how to construct an efficient numerical algorithm for solving ill-posed problems on the sets listed above?

cognizant

Algorithms and programs for solving linear ill-posed problems,ondly, they have to convince a reader who wants to use our programs that these programs have been correctly inputted by him/her on his/her computer. In this case the model computations may serve as a test case for checking this.