From 55ddf1ac2adf4ae262367b9876b79b6bb77857a1 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Mon, 8 Sep 2025 11:51:20 +0200 Subject: [PATCH] typos in exercises weeks 35 and 36 --- .../_build/.doctrees/environment.pickle | Bin 308882 -> 308882 bytes .../_build/.doctrees/exercisesweek35.doctree | Bin 47976 -> 47966 bytes .../_build/.doctrees/exercisesweek36.doctree | Bin 28415 -> 28405 bytes .../html/_sources/exercisesweek35.ipynb | 2 +- .../html/_sources/exercisesweek36.ipynb | 2 +- .../_build/html/exercisesweek35.html | 2 +- .../_build/html/exercisesweek36.html | 2 +- .../jupyter_execute/exercisesweek35.ipynb | 2 +- .../jupyter_execute/exercisesweek36.ipynb | 2 +- 9 files changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/LectureNotes/_build/.doctrees/environment.pickle b/doc/LectureNotes/_build/.doctrees/environment.pickle index c6c70ce1d8ee744a699671998b3086fa9aad308c..906fc9a4c89e5fbbfc0d40721e851f344ebf333d 100644 GIT binary patch delta 10269 zcmZ9Sc|cXg_rRN(3y&Rnpy37xn!6&VxQmq=m|L2PE3za{1!T!xaDO~e(TiMn)65+; 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R4C$<%$qkkso6}ADtN^Aa8R`H4 diff --git a/doc/LectureNotes/_build/html/_sources/exercisesweek35.ipynb b/doc/LectureNotes/_build/html/_sources/exercisesweek35.ipynb index 886db99ef..403eab1f3 100644 --- a/doc/LectureNotes/_build/html/_sources/exercisesweek35.ipynb +++ b/doc/LectureNotes/_build/html/_sources/exercisesweek35.ipynb @@ -323,7 +323,7 @@ "source": [ "n = 100\n", "x = np.linspace(-3, 3, n)\n", - "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(0, 1.0)" + "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(n)" ] }, { diff --git a/doc/LectureNotes/_build/html/_sources/exercisesweek36.ipynb b/doc/LectureNotes/_build/html/_sources/exercisesweek36.ipynb index ddf3e11e5..3dd1ad167 100644 --- a/doc/LectureNotes/_build/html/_sources/exercisesweek36.ipynb +++ b/doc/LectureNotes/_build/html/_sources/exercisesweek36.ipynb @@ -172,7 +172,7 @@ "source": [ "n = 100\n", "x = np.linspace(-3, 3, n)\n", - "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(0, 0.1)" + "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(n)" ] }, { diff --git a/doc/LectureNotes/_build/html/exercisesweek35.html b/doc/LectureNotes/_build/html/exercisesweek35.html index 6ec0f14b5..b66673519 100644 --- a/doc/LectureNotes/_build/html/exercisesweek35.html +++ b/doc/LectureNotes/_build/html/exercisesweek35.html @@ -559,7 +559,7 @@ f_i =\sum_{j=0}^{n-1}a_{ij}x_j, 
n = 100
 x = np.linspace(-3, 3, n)
-y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(0, 1.0)
+y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(n)
diff --git a/doc/LectureNotes/_build/html/exercisesweek36.html b/doc/LectureNotes/_build/html/exercisesweek36.html index d61a64c3d..751e6cabd 100644 --- a/doc/LectureNotes/_build/html/exercisesweek36.html +++ b/doc/LectureNotes/_build/html/exercisesweek36.html @@ -477,7 +477,7 @@ defining a new cost function to be optimized, that is

n = 100
 x = np.linspace(-3, 3, n)
-y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(0, 0.1)
+y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(n)
diff --git a/doc/LectureNotes/_build/jupyter_execute/exercisesweek35.ipynb b/doc/LectureNotes/_build/jupyter_execute/exercisesweek35.ipynb index e88352077..4c74687f4 100644 --- a/doc/LectureNotes/_build/jupyter_execute/exercisesweek35.ipynb +++ b/doc/LectureNotes/_build/jupyter_execute/exercisesweek35.ipynb @@ -323,7 +323,7 @@ "source": [ "n = 100\n", "x = np.linspace(-3, 3, n)\n", - "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(0, 1.0)" + "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(n)" ] }, { diff --git a/doc/LectureNotes/_build/jupyter_execute/exercisesweek36.ipynb b/doc/LectureNotes/_build/jupyter_execute/exercisesweek36.ipynb index 820e0a768..2b233c4e1 100644 --- a/doc/LectureNotes/_build/jupyter_execute/exercisesweek36.ipynb +++ b/doc/LectureNotes/_build/jupyter_execute/exercisesweek36.ipynb @@ -172,7 +172,7 @@ "source": [ "n = 100\n", "x = np.linspace(-3, 3, n)\n", - "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(0, 0.1)" + "y = np.exp(-x**2) + 1.5 * np.exp(-(x-2)**2) + np.random.normal(n)" ] }, {