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An ill-posed problem is a problem where the solution does not depend continuously on the data. This means that small changes in the input data can cause large changes in the final solution, making it difficult to find a stable or unique answer. Ill-posed problems are common in areas such as inverse problems and some types of optimization.

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1y ago

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How well posed and ill poised problems are solved?

Well-posed problems have clear, specific conditions and unique solutions, making them easier to solve using established methods and theories. In contrast, ill-posed problems lack such clarity; they may have multiple solutions or be sensitive to initial conditions, requiring more complex approaches like iterative algorithms or regularization techniques. Solving ill-posed problems often involves making assumptions or approximations to stabilize the solution, while well-posed problems typically allow for straightforward application of mathematical tools. Thus, the strategies employed differ significantly based on the nature of the problem.


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When a problem appears to have no clear formulation?

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What is an ill-structured problem?

Not all information is available