Sparse Optimization Theory and Methods

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Sparse Optimization Theory and Methods 1st Edition, Kindle Edition
by Yun-Bin Zhao
English | 2018 | ISBN: 1138080942 | 297 Pages | PDF | 6 MB

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing. The efficient sparse representation becomes central in various big or high-dimensional data processing, yielding fruitful theoretical and realistic results in these fields. The mathematical optimization plays a fundamentally important role in the development of these results and acts as the mainstream numerical algorithms for the sparsity-seeking problems arising from big-data processing, compressed sensing, statistical learning, computer vision, and so on. This has attracted the interest of many researchers at the interface of engineering, mathematics and computer science.

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