vault backup: 2024-09-16 10:35:42

1 Daily Notes/2024/9 September/2024-09-16.md

@@ -13,6 +13,7 @@ tags:
 task
 where 
 	due <= date(this.date)
+	and due
 	and !completed
 	and status != "-"
 	and status != " "
@@ -25,7 +26,6 @@ task
 where 
 	scheduled 
 	and	scheduled <= date(this.date)
-	and due > date(this.date)
 	and !completed
 	and status != "-"
 	and status != " "
@@ -34,5 +34,6 @@ group by file.folder
 ```
 
 # Calendar Tasks
+-  Getting HW Assignments set up [startTime:: 10:00]  [endTime:: 11:00]
 -  Lunch [startTime:: 11:00]  [endTime:: 12:00]
 -  Chatting with Robert about FHE [startTime:: 08:30]  [endTime:: 10:00]

1000s Templates/Daily Note Template.md

@@ -13,6 +13,7 @@ tags:
 task
 where 
 	due <= date(this.date)
+	and due
 	and !completed
 	and status != "-"
 	and status != " "
@@ -25,7 +26,6 @@ task
 where 
 	scheduled 
 	and	scheduled <= date(this.date)
-	and due > date(this.date)
 	and !completed
 	and status != "-"
 	and status != " "

300s School/ME 2016 - Nonlinear Dynamical Systems 1/2024-09-18 Homework 1.md

@@ -45,6 +45,17 @@ You need to plot the first 1000 terms in a scatter plot. In addition, we would l
 You need to plot the first 25 terms, looking at th eentire polar plot (all quadrants, and then, put a *smooth* line through it. What you're going for is shown in Figure 2.)
 Hint: [This will be a useful reference](https://matplotlib.org/stable/gallery/pie_and_polar_charts/index.html)
 ## Problem 4
+Consider the following system:
+$$
+\bf{\dot{X}} = 
+\begin{bmatrix}   
+1 & 2 & 1\\   
+3 & 1+x & 1\\
+1 & 0 & 0
+\end{bmatrix}
+\bf{X}
+$$
+This linear differential equation system’s behavior is governed by its eigenvalues. In particular, the eigenvalues relate to stability and we may wish to see where they cross the 0 line (in terms of their real value). The constant x varies over the interval [−5, 5]. Using a Jupyter Notebook (local, or on Google Colab), Python, NumPy, and Matplotlib’s PyPlot, you should evaluate the eigenvalues for 50 evenly spaced values of x between −5 and 5, and produce a plot that visualizes the variation in the three eigenvalues as x varies. An example plot is shown in Figure 3 (for a different matrix!)
 
 --- 
 **Documentation**

300s School/NUCE 2100 - Fundamentals of Nuclear Engineering/2024-09-16 Homework 3.md

@@ -8,3 +8,13 @@ completed: null
 type: single
 endDate: null
 ---
+**Documentation**
+- [<] NUCE2100 HW3 📅 2024-09-17 
+	- [<] Problem 1 ⏳ 2024-09-16 
+	- [<] Problem 2 ⏳ 2024-09-16 
+	- [<] Problem 3 ⏳ 2024-09-16 
+	- [<] Problem 4 ⏳ 2024-09-16 
+	- [<] Problem 5 ⏳ 2024-09-16 
+	- [<] Problem 6 ⏳ 2024-09-16 
+	- [<] Problem 7 ⏳ 2024-09-16 
+	- [<] Problem 8 ⏳ 2024-09-16