(BP) min ||Wx||w,1 s.t. Ax = b (L1/L1) min ||Wx||w,1 + (1/&nu)||Ax - b||1 (L1/L2) min ||Wx||w,1 + (1/2&rho)||Ax - b||22 (L1/L2con) min ||Wx||w,1, s.t. ||Ax - b||2 <= &delta (BP+) min ||x||w,1 s.t. Ax = b and x >= 0 (L1/L1+) min ||x||w,1 + (1/&nu)||Ax - b||1 s.t. x >= 0 (L1/L2+) min ||x||w,1 + (1/2&rho)||Ax - b||22 s.t. x >= 0 (L1/L2con+) min ||x||w,1, s.t. ||Ax - b||2 <= &delta, x >= 0where A is m by n with m less than n, and the solution x (or its representation Wx) is supposed to be (approximately) sparse. The data (A,b) can be real or complex, and the signal x can also be complex in the cases of no nonnegativity constraint. A unitary sparsifying basis W is allowed and the 1-norm for x (or Wx) can be weighted by a vector w >= 0.
The capacity for solving models (L1/L2con) and (L1/L2con+) has been added to version beta-6 for A*A' = I.
Acknowledgment: The author's work was supported in part by NSF DMS-0811188 and ONR N00014-08-1-1101.
YALL1 (YALL-one) Copyright (C) 2009 Yin Zhang