From 5026ea26a43bfdd40795192241bf32d2945c318a Mon Sep 17 00:00:00 2001
From: Robert Lanzafame <R.C.Lanzafame@tudelft.nl>
Date: Wed, 25 Sep 2024 14:21:28 +0200
Subject: [PATCH] WS 1.4 student version
---
content/Week_1_4/WS_1_4_Nonlinear_Rain.ipynb | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/content/Week_1_4/WS_1_4_Nonlinear_Rain.ipynb b/content/Week_1_4/WS_1_4_Nonlinear_Rain.ipynb
index ab7170dc..a3fd477f 100644
--- a/content/Week_1_4/WS_1_4_Nonlinear_Rain.ipynb
+++ b/content/Week_1_4/WS_1_4_Nonlinear_Rain.ipynb
@@ -364,7 +364,7 @@
"\n",
"Next we will set the stochastic model, and initialize some other variables needed for the <code>while</code>-loop, where the actual Gauss-Newton iteration takes place. Try to see if you can follow the steps above, and fill in the missing code, where you have to compute \n",
"\n",
- "- the observed-minus-computed observations <code>Delta_y_i</code> $=\\Delta y_{[i]}$,\n",
+ "- the observed-minus-computed observations <code>Delta_y_i_i</code> $=\\Delta y_{[i]}$,\n",
"- the estimate <code>Delta_x_hat_i</code>$=\\Delta\\hat{\\mathrm{x}}_{[i]}$,\n",
"- <code>x_norm</code>$=\\Delta \\hat{\\mathrm{x}}_{[i]}^T \\mathrm{N}_{[i]} \\Delta \\hat{\\mathrm{x}}_{[i]}$\n",
"\n",
@@ -411,9 +411,9 @@
"\n",
" y_comp_i = compute_y(x_hat_i[:, iteration], times, rain_event)\n",
" \n",
- " Delta_y = YOUR_CODE_HERE\n",
+ " Delta_y_i = YOUR_CODE_HERE\n",
" \n",
- " J_i = jacobian((d_init, a_init, r_init), times, rain_event)\n",
+ " J_i = jacobian(x_hat_i[:, iteration], times, rain_event)\n",
" N_i = J_i.T @ inv_Sigma_Y @ J_i\n",
" \n",
" Delta_x_hat_i = YOUR_CODE_HERE\n",
--
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