A linearly convergent algorithm for sparse signal reconstruction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Fixed Point Theory and Applications"
DOI: 10.1007/s11784-018-0635-1
Abstract: For the sparse signal reconstruction problem in compressive sensing, we propose a projection-type algorithm without any backtracking line search based on a new formulation of the problem. Under suitable conditions, global convergence and its linear… read more here.
Keywords: sparse signal; algorithm sparse; signal reconstruction; linearly convergent ... See more keywords
Exponentially Convergent Algorithm Design for Constrained Distributed Optimization via Nonsmooth Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3075666
Abstract: We develop an exponentially convergent distributed algorithm to minimize a sum of nonsmooth cost functions with a set constraint. The set constraint generally leads to the nonlinearity in distributed algorithms, and results in difficulties to… read more here.
Keywords: algorithm design; exponentially convergent; design constrained; algorithm ... See more keywords