version 1.7.1

Author: Nathanael Perraudin

demos/demo_dequantization.m

@@ -1,4 +1,4 @@
-%DEMO_DEQUANTIZATION 
+%DEMO_DEQUANTIZATION Dequantization demo
 %   This demo shows how a quantized signal, sparse in the DCT domain, can be dequantized
 %   solving a convex problem using Douglas-Rachford algorithm
 %
@@ -29,7 +29,7 @@
 %     .. C = { x | ||Dx - y_Q||_infty <= alpha/2 } 
 %
 %     .. math:: C = \{ x | \|Dx - y_Q\|_\infty <= \frac{\alpha}{2} \}
-%d
+%
 %   Its prox is the orthogonal projection onto that set, which is realized
 %   by entry-wise 1D projections onto the quantization stripes. This is
 %   realized for all the entries at once by function proj_box.

prox/Contents.m

@@ -27,6 +27,7 @@
 %    PROX_TV1D          -  Proximal operator of the 1D TV norm
 %    PROX_TV4D          -  Proximal operator of the 4D TV norm
 %    PROX_SUM_LOG       -  Proximal operor for the sum of logarithms.
+%    PROX_SUM_LOG_NORM2 -  Proximal operator of log-barrier  - sum(log(x))
 %
 %  Projection operators
 %    PROJ_B1            -  Projection on a B1-Ball

prox/prox_sum_log.m

@@ -12,7 +12,7 @@
 %         sol   : Solution.
 %         info : Structure summarizing informations at convergence
 %
-%   `prox_l1(x, gamma, param)` solves:
+%   `prox_sum_log(x, gamma, param)` solves:
 %
 %   .. sol = argmin_{z} 0.5*||x - z||_2^2 - gamma * sum(log(z))
 %
@@ -36,7 +36,7 @@
 %   * *info.crit* : Stopping critterion used 
 %
 %
-%   See also:  prox_l1 prox_l2 prox_tv
+%   See also:  prox_l1 prox_l2 prox_tv prox_sum_log_norm2
 %
 
 % Author: Vassilis Kalofolias

prox/prox_sum_log_norm2.m

@@ -1,7 +1,7 @@
 function [sol,info] = prox_sum_log_norm2(x, alpha, beta, gamma, param)
 %PROX_SUM_LOG_NORM2 Proximal operator of log-barrier  - sum(log(x))
-%   Usage:  sol = prox_sum_log(x, alpha, beta, gamma)
-%           sol = prox_sum_log(x, alpha, beta, gamma, param)
+%   Usage:  sol = prox_sum_log_norm2(x, alpha, beta, gamma)
+%           sol = prox_sum_log_norm2(x, alpha, beta, gamma, param)
 %           [sol, info] = prox_sum_log_norm2(x, alpha, beta, gamma, param)
 %
 %   Input parameters:
@@ -16,8 +16,7 @@
 %
 %   `prox_l1(x, gamma, param)` solves:
 %
-%   .. sol = argmin_{z} 0.5*||x - z||_2^2 - gamma * (alpha*sum(log(z)) +
-%      beta/2 ||z||^2)
+%   .. sol = argmin_{z} 0.5*||x - z||_2^2 - gamma * (alpha*sum(log(z)) + beta/2 ||z||^2)
 %
 %   .. math::  sol = \arg\min_{z} \frac{1}{2} \|x - z\|_2^2 - \gamma (\alpha \sum_i(log(z_i)) + \beta/2 \|z\|_2^2)
 %

solver/fbf_primal_dual.m

@@ -57,9 +57,9 @@
 %       Warning! This stopping criterion is different from other solvers!
 %
 %   * *param.mu* : parameter mu of paper [1]
-%   * *param.epsilon:   parameter epsilon of paper [1]
-%   * *param.normalized_timestep: from 0 to 1, mapping to [epsilon,
-%                               (1-epsilon)/mu]
+%   * *param.epsilon*:   parameter epsilon of paper [1]
+%   * *param.normalized_timestep*: from 0 to 1, mapping to [epsilon,
+%     (1-epsilon)/mu]
 %
 %   See also: solvep fb_based_primal_dual
 %

solver/solvep.m

@@ -63,7 +63,7 @@
 %
 %     For the 'rel_norm' stopping criterion, the algorithm end if 
 %
-%       ..  ||  n(t) - n(t-1) ||_2  /  || n(t) ||_2 < tol,
+%       .. '  ||  n(t) - n(t-1) ||_2  /  || n(t) ||_2 < tol,
 %      
 %       .. math:: \frac{ \| n(t) - n(t-1) \|_2 }{\| n(t)\|_2} < tol,
 %

unlocbox_version

@@ -1 +1 @@
-1.6.3
+1.7.1

utils/Contents.m

@@ -27,7 +27,7 @@
 %  Other
 %    snr                -  Signal to noise ratio
 %    soft_threshold     -  Soft thresholding operation
-%    seet_seed          -  Set a new seed
+%    set_seed           -  Set a new seed
 %    vec                -  Vectorize
 %    svdecon            -  Acceleleration of svd
 %    svdsecon           -  Acceleleration of svds

utils/set_seed.m

@@ -1,14 +1,13 @@
 function set_seed(my_seed)
 %SET_SEED sets the seed of the default random random generator
-%   Usage:  set_seed(new_seed)
-%           set_seed
+%   Usage:  set_seed(my_seed)
+%           set_seed()
 %
 %   Input parameters:
-%         new_seed
-%
-%   Output parameters:
-%         none
-%
+%         my_seed  :  new_seed
+%   
+%   Set the seed of the default random random generator
+
 % code author: Vassilis Kalofolias
 % date: August 2013
 
@@ -25,5 +24,7 @@ function set_seed(my_seed)
     %rng('default');
 end
 
+end
+