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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 ...
Pages in category "Inverse problems" The following 34 pages are in this category, out of 34 total. This list may not reflect recent changes. ...
The inverse problem is more difficult: given some original arbitrary digital image such as a digital photograph, try to find a set of IFS parameters which, when evaluated by iteration, produces another image visually similar to the original. In 1989, Arnaud Jacquin presented a solution to a restricted form of the inverse problem using only PIFS ...
The RMC method for condensed matter problems was initially developed by McGreevy and Pusztai [1] in 1988, with application to liquid argon (Note that there were earlier independent applications of this approach, for example those of Kaplow et al. [2] and Gerold and Kern; [3] it is, however, the McGreevy and Pusztai implementation that is best known).
the inverse geodesic problem or second geodesic problem, given A and B, determine s 12, α 1, and α 2. As can be seen from Fig. 1, these problems involve solving the triangle NAB given one angle, α 1 for the direct problem and λ 12 = λ 2 − λ 1 for the inverse problem, and its two adjacent sides.
The inverse problem in optics (or the inverse optics problem [1]) refers to the fundamentally ambiguous mapping between sources of retinal stimulation and the retinal images that are caused by those sources. [2] For example, the size of an object, the orientation of the object, and its distance from the observer are conflated in the retinal image.
As noted above, the iterative solution to the inverse problem fails to converge or converges slowly for nearly antipodal points. An example of slow convergence is (Φ 1, L 1) = (0°, 0°) and (Φ 2, L 2) = (0.5°, 179.5°) for the WGS84 ellipsoid. This requires about 130 iterations to give a result accurate to 1 mm. Depending on how the inverse ...
Kinematics; Inverse kinematics: a problem similar to Inverse dynamics but with different goals and starting assumptions.While inverse dynamics asks for torques that produce a certain time-trajectory of positions and velocities, inverse kinematics only asks for a static set of joint angles such that a certain point (or a set of points) of the character (or robot) is positioned at a certain ...