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Inverse problem information


An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth from measurements of its gravity field. It is called an inverse problem because it starts with the effects and then calculates the causes. It is the inverse of a forward problem, which starts with the causes and then calculates the effects.

Inverse problems are some of the most important mathematical problems in science and mathematics because they tell us about parameters that we cannot directly observe. They have wide application in system identification, optics, radar, acoustics, communication theory, signal processing, medical imaging, computer vision,[1][2] geophysics, oceanography, astronomy, remote sensing, natural language processing, machine learning,[3] nondestructive testing, slope stability analysis[4] and many other fields.[citation needed]

  1. ^ Mohamad-Djafari, Ali (2013-01-29). Inverse Problems in Vision and 3D Tomography. John Wiley & Sons. ISBN 978-1-118-60046-7.
  2. ^ Pizlo, Zygmunt. "Perception viewed as an inverse problem." Vision research 41.24 (2001): 3145-3161.
  3. ^ Vito, Ernesto De, et al. "Learning from examples as an inverse problem." Journal of Machine Learning Research 6.May (2005): 883-904.
  4. ^ Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. doi:10.1080/17499518.2018.1498524. S2CID 216590427.

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a solution to a restricted form of the inverse problem using only PIFS; the general form of the inverse problem remains unsolved. As of 1995, all fractal...

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Inverse Problems is a peer-reviewed, broad-based interdisciplinary journal for pure and applied mathematicians and physicists produced by IOP Publishing...

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the inverse model, f → − 1 {\displaystyle {\vec {f}}^{-1}} . If the problem is linear we can use some type of matrix inverse method—often the problem is...

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In mathematics, the inverse problem for Lagrangian mechanics is the problem of determining whether a given system of ordinary differential equations can...

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to b {\displaystyle \mathbf {b} } . Therefore, in solving the inverse-problem, the inverse mapping operates as a high-pass filter that has the undesirable...

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multimodal, some moments may not be defined, etc.). When analyzing an inverse problem, obtaining a maximum likelihood model is usually not sufficient, as...

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difficulty is that the inverse problem does not have a unique solution (i.e., there are infinite possible "correct" answers), and the problem of defining the...

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Great ellipse

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b{\sqrt {1+e'^{2}\cos ^{2}\alpha _{0}}}} and b {\displaystyle b} .) The "inverse problem" is the determination of s 12 {\displaystyle s_{12}} , α 1 {\displaystyle...

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QR decomposition

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(n-m)\times m} . After some algebra, it can be shown that a solution to the inverse problem can be expressed as: x = Q [ ( R 1 T ) − 1 b 0 ] {\displaystyle \mathbf...

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Geodesics on an ellipsoid

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geodesic problems usually considered are: the direct geodesic problem or first geodesic problem, given A, α1, and s12, determine B and α2; the inverse geodesic...

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the inverse lithography technology (ILT) is an approach to photomask design. This is basically an approach to solve an inverse imaging problem: to calculate...

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Condition number

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solving the inverse problem: given f ( x ) = y , {\displaystyle f(x)=y,} one is solving for x, and thus the condition number of the (local) inverse must be...

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Inverse dynamics is an inverse problem. It commonly refers to either inverse rigid body dynamics or inverse structural dynamics. Inverse rigid-body dynamics...

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at a time by any sort of a Kalman filter. The computing load of the inverse problem of an ordinary Kalman recursion is roughly proportional to the cube...

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Cell migration

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work on regularization of inverse problems also worked on this problem. He explains in detail how to solve the ERT problem in a simple case of 2-layered...

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Protein structure prediction

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from primary structure. Structure prediction is different from the inverse problem of protein design. Protein structure prediction is one of the most...

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