Newton-Type Greedy Selection Methods for $\ell _0$ -Constrained Minimization.

IEEE Trans. Pattern Anal. Mach. Intell.(2017)

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摘要
We introduce a family of Newton-type greedy selection methods for $\ell _0$ -constrained minimization problems. The basic idea is to construct a quadratic function to approximate the original objective function around the current iterate and solve the constructed quadratic program over the cardinality constraint. The next iterate is then estimated via a line search operation between the current it...
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关键词
Minimization,Convergence,Linear programming,Iterative methods,Signal processing algorithms,Optimization,Sparse matrices
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