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Image-domain least-squares migration (LSM) has demonstrated promising potential in enhancing the spatial resolution of migration images effectively and efficiently. However, existing image-domain ...
Many problems in robotics, such asestimating the state from noisy sensor data or aligning two point clouds, can be posed and solved as least-squares problems. Unfortunately, vanilla nonminimal solvers ...
1 Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, China 2 Geophysical Research Institute, School of Earth and Space Sciences, University of Science and ...
2 METHODOLOGY The Least-Squares Monte Carlo (LSM) method is a technique for pricing American options that combines Monte Carlo Simulation with an optimization algorithm based on regression. According ...
We report a comprehensive study of the efficacy of least-squares fitting of multidimensional spectra to generalized Kubo line-shape models and introduce a novel least-squares fitting metric, termed ...
The least-squares criterion is a method of measuring the accuracy of a line in depicting the data that was used to generate it. That is, the formula determines the line of best fit.