l2 Penalized Nonlinear Minimization

1 | ```
solveL2(phi,y,T,x0,lambda=0.1)
``` |

`x0` |
Initial value of the vector to be recovered. Sparse representation of the vector ( N x 1 matrix ) X=Tx, where X is the original vector |

`T` |
sparsity bases ( N x N matrix ) |

`phi` |
Measurement matrix (M x N). |

`y` |
Measurement vector (Mx1). |

`lambda` |
Penalty coefficient. Defaults 0.1 |

Returns nlm object.

Mehmet Suzen

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