Updated fluence compression notebooks

Author: gourav3017

examples/fluence_wavelets.ipynb

@@ -127,7 +127,7 @@
     "# run optimization with naive thresold of 1% of max(A)\n",
     "# create cvxpy problem using the clinical criteria and optimization parameters\n",
     "A = deepcopy(inf_matrix.A)\n",
-    "S_sparse = get_sparse_only(matrix=A, threshold_perc=1)\n",
+    "S_sparse = get_sparse_only(A=A, threshold_perc=1)\n",
     "inf_matrix.A = S_sparse"
    ]
   },
@@ -200,7 +200,7 @@
    "source": [
     "# run optimization with thresold of 1% and sparsifying matrix using RMR method\n",
     "# create cvxpy problem using the clinical criteria and optimization parameters\n",
-    "S_rmr = get_sparse_only(matrix=A, threshold_perc=10, compression='rmr')\n",
+    "S_rmr = get_sparse_only(A=A, threshold_perc=10, compression='rmr')\n",
     "inf_matrix.A = S_rmr\n",
     "opt = pp.Optimization(my_plan, inf_matrix=inf_matrix, opt_params=opt_params)\n",
     "opt.create_cvxpy_problem()\n",