Cleaning up typos in project 3
This commit is contained in:
@@ -45,7 +45,7 @@ Automatically generated HTML file from DocOnce source
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2,
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None,
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'___sec1'),
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('Studying the credic card data set as possible project',
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('Studying the credit card data set as possible project',
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2,
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None,
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'___sec2'),
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@@ -107,7 +107,7 @@ MathJax.Hub.Config({
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<ul class="dropdown-menu">
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<!-- navigation toc: --> <li><a href="#___sec0" style="font-size: 80%;"><b>Paths for project 3</b></a></li>
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<!-- navigation toc: --> <li><a href="#___sec1" style="font-size: 80%;"> Defining the data sets to analyze yourself</a></li>
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<!-- navigation toc: --> <li><a href="#___sec2" style="font-size: 80%;"> Studying the credic card data set as possible project</a></li>
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<!-- navigation toc: --> <li><a href="#___sec2" style="font-size: 80%;"> Studying the credit card data set as possible project</a></li>
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<!-- navigation toc: --> <li><a href="#___sec3" style="font-size: 80%;"> Part a)</a></li>
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<!-- navigation toc: --> <li><a href="#___sec4" style="font-size: 80%;"> Part b)</a></li>
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<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;"> Part c)</a></li>
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@@ -191,7 +191,7 @@ We propose also an alternative to the above. This is a project on using machine
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<p>
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This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems.
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<h2 id="___sec2" class="anchor">Studying the credic card data set as possible project </h2>
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<h2 id="___sec2" class="anchor">Studying the credit card data set as possible project </h2>
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<p>
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We include this data set as an example on how one could study new data sets with the algorithms we have discussed during the lectures, using either your own codes or the functionality of <b>scikit-learn</b>, <b>tensorflow</b> or other Python packages.
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@@ -312,13 +312,13 @@ $$
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<p>
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Write down the algorithm and the equations you need to implement.
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Find also the analytic solution to the problem.
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Find also the analytical solution to the problem.
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<h3 id="___sec10" class="anchor">Part b) </h3>
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<p>
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Implement the explicit scheme algorithm and perform tests of the solution
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for \( \Delta x=1/10 \), \( \Delta x=1/100 \) using \( \Delta t \) as dictated by the stability limit of the explicit scheme. This stability scheme requires that \( \Delta t/\Delta x^2 \leq 1/2 \).
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for \( \Delta x=1/10 \), \( \Delta x=1/100 \) using \( \Delta t \) as dictated by the stability limit of the explicit scheme. The stability criterion for the explicit scheme requires that \( \Delta t/\Delta x^2 \leq 1/2 \).
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<p>
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Study the solutions at two time points \( t_1 \) and \( t_2 \) where \( u(x,t_1) \) is smooth but still significantly curved
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@@ -45,7 +45,7 @@ Automatically generated HTML file from DocOnce source
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2,
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None,
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'___sec1'),
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('Studying the credic card data set as possible project',
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('Studying the credit card data set as possible project',
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2,
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None,
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'___sec2'),
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@@ -107,7 +107,7 @@ MathJax.Hub.Config({
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<ul class="dropdown-menu">
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<!-- navigation toc: --> <li><a href="#___sec0" style="font-size: 80%;"><b>Paths for project 3</b></a></li>
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<!-- navigation toc: --> <li><a href="#___sec1" style="font-size: 80%;"> Defining the data sets to analyze yourself</a></li>
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<!-- navigation toc: --> <li><a href="#___sec2" style="font-size: 80%;"> Studying the credic card data set as possible project</a></li>
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<!-- navigation toc: --> <li><a href="#___sec2" style="font-size: 80%;"> Studying the credit card data set as possible project</a></li>
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<!-- navigation toc: --> <li><a href="#___sec3" style="font-size: 80%;"> Part a)</a></li>
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<!-- navigation toc: --> <li><a href="#___sec4" style="font-size: 80%;"> Part b)</a></li>
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<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;"> Part c)</a></li>
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@@ -191,7 +191,7 @@ We propose also an alternative to the above. This is a project on using machine
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<p>
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This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems.
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<h2 id="___sec2" class="anchor">Studying the credic card data set as possible project </h2>
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<h2 id="___sec2" class="anchor">Studying the credit card data set as possible project </h2>
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<p>
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We include this data set as an example on how one could study new data sets with the algorithms we have discussed during the lectures, using either your own codes or the functionality of <b>scikit-learn</b>, <b>tensorflow</b> or other Python packages.
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@@ -312,13 +312,13 @@ $$
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<p>
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Write down the algorithm and the equations you need to implement.
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Find also the analytic solution to the problem.
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Find also the analytical solution to the problem.
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<h3 id="___sec10" class="anchor">Part b) </h3>
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<p>
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Implement the explicit scheme algorithm and perform tests of the solution
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for \( \Delta x=1/10 \), \( \Delta x=1/100 \) using \( \Delta t \) as dictated by the stability limit of the explicit scheme. This stability scheme requires that \( \Delta t/\Delta x^2 \leq 1/2 \).
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for \( \Delta x=1/10 \), \( \Delta x=1/100 \) using \( \Delta t \) as dictated by the stability limit of the explicit scheme. The stability criterion for the explicit scheme requires that \( \Delta t/\Delta x^2 \leq 1/2 \).
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<p>
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Study the solutions at two time points \( t_1 \) and \( t_2 \) where \( u(x,t_1) \) is smooth but still significantly curved
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@@ -44,7 +44,7 @@ div { text-align: justify; text-justify: inter-word; }
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2,
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None,
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'___sec1'),
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('Studying the credic card data set as possible project',
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('Studying the credit card data set as possible project',
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2,
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None,
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'___sec2'),
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@@ -142,7 +142,7 @@ We propose also an alternative to the above. This is a project on using machine
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<p>
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This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems.
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<h2 id="___sec2">Studying the credic card data set as possible project </h2>
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<h2 id="___sec2">Studying the credit card data set as possible project </h2>
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<p>
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We include this data set as an example on how one could study new data sets with the algorithms we have discussed during the lectures, using either your own codes or the functionality of <b>scikit-learn</b>, <b>tensorflow</b> or other Python packages.
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@@ -263,13 +263,13 @@ $$
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<p>
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Write down the algorithm and the equations you need to implement.
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Find also the analytic solution to the problem.
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Find also the analytical solution to the problem.
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<h3 id="___sec10">Part b) </h3>
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<p>
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Implement the explicit scheme algorithm and perform tests of the solution
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for \( \Delta x=1/10 \), \( \Delta x=1/100 \) using \( \Delta t \) as dictated by the stability limit of the explicit scheme. This stability scheme requires that \( \Delta t/\Delta x^2 \leq 1/2 \).
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for \( \Delta x=1/10 \), \( \Delta x=1/100 \) using \( \Delta t \) as dictated by the stability limit of the explicit scheme. The stability criterion for the explicit scheme requires that \( \Delta t/\Delta x^2 \leq 1/2 \).
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<p>
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Study the solutions at two time points \( t_1 \) and \( t_2 \) where \( u(x,t_1) \) is smooth but still significantly curved
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Binary file not shown.
@@ -192,7 +192,7 @@ We propose also an alternative to the above. This is a project on using machine
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This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems.
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\subsection{Studying the credic card data set as possible project}
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\subsection{Studying the credit card data set as possible project}
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We include this data set as an example on how one could study new data sets with the algorithms we have discussed during the lectures, using either your own codes or the functionality of \textbf{scikit-learn}, \textbf{tensorflow} or other Python packages.
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@@ -271,11 +271,11 @@ u_{xx}\approx \frac{u(x_i+\Delta x,t_j)-2u(x_i,t_j)+u(x_i-\Delta x,t_j)}{\Delta
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\end{equation*}
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Write down the algorithm and the equations you need to implement.
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Find also the analytic solution to the problem.
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Find also the analytical solution to the problem.
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\paragraph{Part b).}
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Implement the explicit scheme algorithm and perform tests of the solution
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for $\Delta x=1/10$, $\Delta x=1/100$ using $\Delta t$ as dictated by the stability limit of the explicit scheme. This stability scheme requires that $\Delta t/\Delta x^2 \leq 1/2$.
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for $\Delta x=1/10$, $\Delta x=1/100$ using $\Delta t$ as dictated by the stability limit of the explicit scheme. The stability criterion for the explicit scheme requires that $\Delta t/\Delta x^2 \leq 1/2$.
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Study the solutions at two time points $t_1$ and $t_2$ where $u(x,t_1)$ is smooth but still significantly curved
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and $u(x,t_2)$ is almost linear, close to the stationary state.
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Binary file not shown.
@@ -166,7 +166,7 @@ We propose also an alternative to the above. This is a project on using machine
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This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems.
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\subsection*{Studying the credic card data set as possible project}
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\subsection*{Studying the credit card data set as possible project}
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We include this data set as an example on how one could study new data sets with the algorithms we have discussed during the lectures, using either your own codes or the functionality of \textbf{scikit-learn}, \textbf{tensorflow} or other Python packages.
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@@ -245,11 +245,11 @@ u_{xx}\approx \frac{u(x_i+\Delta x,t_j)-2u(x_i,t_j)+u(x_i-\Delta x,t_j)}{\Delta
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\end{equation*}
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Write down the algorithm and the equations you need to implement.
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Find also the analytic solution to the problem.
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Find also the analytical solution to the problem.
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\paragraph{Part b).}
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Implement the explicit scheme algorithm and perform tests of the solution
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for $\Delta x=1/10$, $\Delta x=1/100$ using $\Delta t$ as dictated by the stability limit of the explicit scheme. This stability scheme requires that $\Delta t/\Delta x^2 \leq 1/2$.
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for $\Delta x=1/10$, $\Delta x=1/100$ using $\Delta t$ as dictated by the stability limit of the explicit scheme. The stability criterion for the explicit scheme requires that $\Delta t/\Delta x^2 \leq 1/2$.
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Study the solutions at two time points $t_1$ and $t_2$ where $u(x,t_1)$ is smooth but still significantly curved
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and $u(x,t_2)$ is almost linear, close to the stationary state.
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@@ -30,7 +30,7 @@ We propose also an alternative to the above. This is a project on using machine
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This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems.
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===== Studying the credic card data set as possible project =====
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===== Studying the credit card data set as possible project =====
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We include this data set as an example on how one could study new data sets with the algorithms we have discussed during the lectures, using either your own codes or the functionality of _scikit-learn_, _tensorflow_ or other Python packages.
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@@ -130,12 +130,12 @@ u_{xx}\approx \frac{u(x_i+\Delta x,t_j)-2u(x_i,t_j)+u(x_i-\Delta x,t_j)}{\Delta
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!et
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Write down the algorithm and the equations you need to implement.
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Find also the analytic solution to the problem.
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Find also the analytical solution to the problem.
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=== Part b) ===
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Implement the explicit scheme algorithm and perform tests of the solution
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for $\Delta x=1/10$, $\Delta x=1/100$ using $\Delta t$ as dictated by the stability limit of the explicit scheme. This stability scheme requires that $\Delta t/\Delta x^2 \leq 1/2$.
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for $\Delta x=1/10$, $\Delta x=1/100$ using $\Delta t$ as dictated by the stability limit of the explicit scheme. The stability criterion for the explicit scheme requires that $\Delta t/\Delta x^2 \leq 1/2$.
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Study the solutions at two time points $t_1$ and $t_2$ where $u(x,t_1)$ is smooth but still significantly curved
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and $u(x,t_2)$ is almost linear, close to the stationary state.
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@@ -129,7 +129,7 @@ ${text_types(ch)}
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* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/html/Project2.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/html/Project2-bs.html"
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=== Project 3, Deadline December 10 ===
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=== Project 3, Deadline December 14 ===
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* LaTeX and PDF:
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* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/pdf/Project3.tex"
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* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/pdf/Project3.pdf"
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@@ -268,9 +268,9 @@ Acronyms for textbooks and references to chapter
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|----------------------------------------------------------------------------------------------------------------------------|
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| Week 45 | SVM and tree and forest models | Presentation and discussion of project 3 | HTF chapter 14 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" | Deadline project 2 November 12 |
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|----------------------------------------------------------------------------------------------------------------------------|
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| Week 46 | Bayesian statitics | Project 3 | TBA | Work on project 3 |
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| Week 46 | Bayesian statitics | Project 3, deadline December 14 | | Work on project 3 |
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|----------------------------------------------------------------------------------------------------------------------------|
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| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | TBA | Work on project 3 |
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| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | | Work on project 3 |
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|----------------------------------------------------------------------------------------------------------------------------|
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| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 on November 30|
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| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 (TBA)|
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|----------------------------------------------------------------------------------------------------------------------------|
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+5
-5
@@ -112,7 +112,7 @@ div { text-align: justify; text-justify: inter-word; }
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('Second homework set, week 36', 3, None, '___sec22'),
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('Project 1, Deadline October 1', 3, None, '___sec23'),
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('Project 2, Deadline November 5', 3, None, '___sec24'),
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('Project 3, Deadline December 10', 3, None, '___sec25'),
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('Project 3, Deadline December 14', 3, None, '___sec25'),
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('Course content', 3, None, '___sec26'),
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('Learning outcomes', 2, None, '___sec27'),
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('Prerequisites', 2, None, '___sec28'),
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@@ -819,7 +819,7 @@ formulas in HTML or ipython notebook files.
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</ul>
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<h3 id="___sec25">Project 3, Deadline December 10 </h3>
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<h3 id="___sec25">Project 3, Deadline December 14 </h3>
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<ul>
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<li> LaTeX and PDF:</li>
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@@ -975,9 +975,9 @@ Acronyms for textbooks and references to chapter
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<tr><td align="center"> Week 43 </td> <td align="center"> Dimensionality reduction and support vector machines </td> <td align="center"> Project 2 </td> <td align="center"> HTF chapters 3 and 12 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 2 </td> </tr>
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<tr><td align="center"> Week 44 </td> <td align="center"> SVM and tree and forest models </td> <td align="center"> Project 2 </td> <td align="center"> HTF chapter 9 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Work on project 2 </td> </tr>
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<tr><td align="center"> Week 45 </td> <td align="center"> SVM and tree and forest models </td> <td align="center"> Presentation and discussion of project 3 </td> <td align="center"> HTF chapter 14 and <a href="https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" target="_self">lecture notes</a> </td> <td align="center"> Deadline project 2 November 12 </td> </tr>
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<tr><td align="center"> Week 46 </td> <td align="center"> Bayesian statitics </td> <td align="center"> Project 3 </td> <td align="center"> TBA </td> <td align="center"> Work on project 3 </td> </tr>
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<tr><td align="center"> Week 47 </td> <td align="center"> Unsupervised learning, Boltzmann machines </td> <td align="center"> Project 3 </td> <td align="center"> TBA </td> <td align="center"> Work on project 3 </td> </tr>
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<tr><td align="center"> Week 48 </td> <td align="center"> Summary of course and final workshop </td> <td align="center"> Project 3 </td> <td align="center"> Lecture notes </td> <td align="center"> Final workshop with presentation of project 3 on November 30 </td> </tr>
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<tr><td align="center"> Week 46 </td> <td align="center"> Bayesian statitics </td> <td align="center"> Project 3, deadline December 14 </td> <td align="center"> </td> <td align="center"> Work on project 3 </td> </tr>
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<tr><td align="center"> Week 47 </td> <td align="center"> Unsupervised learning, Boltzmann machines </td> <td align="center"> Project 3 </td> <td align="center"> </td> <td align="center"> Work on project 3 </td> </tr>
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<tr><td align="center"> Week 48 </td> <td align="center"> Summary of course and final workshop </td> <td align="center"> Project 3 </td> <td align="center"> Lecture notes </td> <td align="center"> Final workshop with presentation of project 3 (TBA) </td> </tr>
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</tbody>
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</table>
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