A hybrid penalty method with pseudo-projection post-processing is introduced for smooth optimization subject to multiple low-rank Hankel matrix constraints, supported by convergence analysis and efficient single-constraint computation via existing SLRA software.
Markovsky, Recent progress on variable projection methods for structured low-rank approxi- mation, Signal Processing, 96 (2014), pp
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A hybrid penalty method for a class of optimization problems with multiple rank constraints
A hybrid penalty method with pseudo-projection post-processing is introduced for smooth optimization subject to multiple low-rank Hankel matrix constraints, supported by convergence analysis and efficient single-constraint computation via existing SLRA software.