2007
DOI: 10.1007/s11200-007-0028-1
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Isometric method: Efficient tool for solving non-linear inverse problems

Abstract: A novel algorithm called Isometric Method (IM) for solving smooth real-valued nonlinear inverse problems has been developed. Model and data spaces are represented by using m + 1 corresponding vectors at a time (m is the dimension of model space). Relations among vectors in the data space are set up and then transferred into the model space thus generating a new model. If the problem is truly linear, this new model is the exact solution of the inverse problem.If the problem is non-linear, the whole procedure ha… Show more

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Cited by 13 publications
(7 citation statements)
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“…Inversion is solved by the isometric method (IM). It is a fast algorithm developed by Málek et al (2005) and tested by Málek et al (2007). It combines features of several standard inverse methods, particularly the simplex method, Newton's least squares method and simulated annealing.…”
Section: Inversion Of Group Velocity Dispersion Curvesmentioning
confidence: 99%
“…Inversion is solved by the isometric method (IM). It is a fast algorithm developed by Málek et al (2005) and tested by Málek et al (2007). It combines features of several standard inverse methods, particularly the simplex method, Newton's least squares method and simulated annealing.…”
Section: Inversion Of Group Velocity Dispersion Curvesmentioning
confidence: 99%
“…The transformations through similarity were also applied to other solutions for nonlinear inverse problems (Málek et al, 2007). The transformations through similarity are also commonly used in close range photogrammetry, in which the rotation angles are much larger in comparison to the traditional aerial survey (Jue, 2008).…”
Section: Photogrammetric Transformations In An Oblique Systemmentioning
confidence: 99%
“…The isometric method (IM) is used for solving the inversion of dispersion curves. It is a fast inversion algorithm developed and tested by Málek et al (2005Málek et al ( , 2007. It combines the features of several standard inverse methods, particularly the simplex method, Newton's least-squares method and simulated annealing (Tarantola 1987).…”
Section: Surface Wave Phase Velocity Determinationmentioning
confidence: 99%
“…The inversion is performed by the isometric method (Málek et al . ). By combining these 1‐D velocity models, a pseudo 2‐D S‐wave velocity distribution across the fault is obtained.…”
Section: Introductionmentioning
confidence: 97%
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