This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems. -
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. @@ -312,13 +312,13 @@ $$
Write down the algorithm and the equations you need to implement. -Find also the analytic solution to the problem. +Find also the analytical solution to the problem.
Implement the explicit scheme algorithm and perform tests of the solution -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 \( \Delta t/\Delta x^2 \leq 1/2 \). +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 \( \Delta t/\Delta x^2 \leq 1/2 \).
Study the solutions at two time points \( t_1 \) and \( t_2 \) where \( u(x,t_1) \) is smooth but still significantly curved diff --git a/doc/Projects/2018/Project3/html/Project3-bs.html b/doc/Projects/2018/Project3/html/Project3-bs.html index 59d2c57ac..78c4e087b 100644 --- a/doc/Projects/2018/Project3/html/Project3-bs.html +++ b/doc/Projects/2018/Project3/html/Project3-bs.html @@ -45,7 +45,7 @@ Automatically generated HTML file from DocOnce source 2, None, '___sec1'), - ('Studying the credic card data set as possible project', + ('Studying the credit card data set as possible project', 2, None, '___sec2'), @@ -107,7 +107,7 @@ MathJax.Hub.Config({
This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems. -
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. @@ -312,13 +312,13 @@ $$
Write down the algorithm and the equations you need to implement. -Find also the analytic solution to the problem. +Find also the analytical solution to the problem.
Implement the explicit scheme algorithm and perform tests of the solution -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 \( \Delta t/\Delta x^2 \leq 1/2 \). +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 \( \Delta t/\Delta x^2 \leq 1/2 \).
Study the solutions at two time points \( t_1 \) and \( t_2 \) where \( u(x,t_1) \) is smooth but still significantly curved diff --git a/doc/Projects/2018/Project3/html/Project3.html b/doc/Projects/2018/Project3/html/Project3.html index c9dfe72ee..fe6a0c4e7 100644 --- a/doc/Projects/2018/Project3/html/Project3.html +++ b/doc/Projects/2018/Project3/html/Project3.html @@ -44,7 +44,7 @@ div { text-align: justify; text-justify: inter-word; } 2, None, '___sec1'), - ('Studying the credic card data set as possible project', + ('Studying the credit card data set as possible project', 2, None, '___sec2'), @@ -142,7 +142,7 @@ We propose also an alternative to the above. This is a project on using machine
This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems. -
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. @@ -263,13 +263,13 @@ $$
Write down the algorithm and the equations you need to implement. -Find also the analytic solution to the problem. +Find also the analytical solution to the problem.
Implement the explicit scheme algorithm and perform tests of the solution -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 \( \Delta t/\Delta x^2 \leq 1/2 \). +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 \( \Delta t/\Delta x^2 \leq 1/2 \).
Study the solutions at two time points \( t_1 \) and \( t_2 \) where \( u(x,t_1) \) is smooth but still significantly curved diff --git a/doc/Projects/2018/Project3/ipynb/ipynb-Project3-src.tar.gz b/doc/Projects/2018/Project3/ipynb/ipynb-Project3-src.tar.gz index 3f9812a24..99fe107cf 100644 Binary files a/doc/Projects/2018/Project3/ipynb/ipynb-Project3-src.tar.gz and b/doc/Projects/2018/Project3/ipynb/ipynb-Project3-src.tar.gz differ diff --git a/doc/Projects/2018/Project3/pdf/Project3.p.tex b/doc/Projects/2018/Project3/pdf/Project3.p.tex index 73daa29c1..75960f17a 100644 --- a/doc/Projects/2018/Project3/pdf/Project3.p.tex +++ b/doc/Projects/2018/Project3/pdf/Project3.p.tex @@ -192,7 +192,7 @@ We propose also an alternative to the above. This is a project on using machine This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems. -\subsection{Studying the credic card data set as possible project} +\subsection{Studying the credit card data set as possible project} 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. @@ -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 \end{equation*} Write down the algorithm and the equations you need to implement. -Find also the analytic solution to the problem. +Find also the analytical solution to the problem. \paragraph{Part b).} Implement the explicit scheme algorithm and perform tests of the solution -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 $\Delta t/\Delta x^2 \leq 1/2$. +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 $\Delta t/\Delta x^2 \leq 1/2$. Study the solutions at two time points $t_1$ and $t_2$ where $u(x,t_1)$ is smooth but still significantly curved and $u(x,t_2)$ is almost linear, close to the stationary state. diff --git a/doc/Projects/2018/Project3/pdf/Project3.pdf b/doc/Projects/2018/Project3/pdf/Project3.pdf index d8671a7b4..fc4735b15 100644 Binary files a/doc/Projects/2018/Project3/pdf/Project3.pdf and b/doc/Projects/2018/Project3/pdf/Project3.pdf differ diff --git a/doc/Projects/2018/Project3/pdf/Project3.tex b/doc/Projects/2018/Project3/pdf/Project3.tex index 14a3131ad..12dea6bf3 100644 --- a/doc/Projects/2018/Project3/pdf/Project3.tex +++ b/doc/Projects/2018/Project3/pdf/Project3.tex @@ -166,7 +166,7 @@ We propose also an alternative to the above. This is a project on using machine This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems. -\subsection*{Studying the credic card data set as possible project} +\subsection*{Studying the credit card data set as possible project} 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. @@ -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 \end{equation*} Write down the algorithm and the equations you need to implement. -Find also the analytic solution to the problem. +Find also the analytical solution to the problem. \paragraph{Part b).} Implement the explicit scheme algorithm and perform tests of the solution -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 $\Delta t/\Delta x^2 \leq 1/2$. +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 $\Delta t/\Delta x^2 \leq 1/2$. Study the solutions at two time points $t_1$ and $t_2$ where $u(x,t_1)$ is smooth but still significantly curved and $u(x,t_2)$ is almost linear, close to the stationary state. diff --git a/doc/src/Projects/2018/Project3/Project3.do.txt b/doc/src/Projects/2018/Project3/Project3.do.txt index 6db25f214..1f73f2e19 100644 --- a/doc/src/Projects/2018/Project3/Project3.do.txt +++ b/doc/src/Projects/2018/Project3/Project3.do.txt @@ -30,7 +30,7 @@ We propose also an alternative to the above. This is a project on using machine This is a field with a large interest recently, spanning from studies of turbulence in meteorology to the solution of quantum mechanical systems. -===== Studying the credic card data set as possible project ===== +===== Studying the credit card data set as possible project ===== 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. @@ -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 !et Write down the algorithm and the equations you need to implement. -Find also the analytic solution to the problem. +Find also the analytical solution to the problem. === Part b) === Implement the explicit scheme algorithm and perform tests of the solution -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 $\Delta t/\Delta x^2 \leq 1/2$. +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 $\Delta t/\Delta x^2 \leq 1/2$. Study the solutions at two time points $t_1$ and $t_2$ where $u(x,t_1)$ is smooth but still significantly curved and $u(x,t_2)$ is almost linear, close to the stationary state. diff --git a/doc/web/course.do.txt b/doc/web/course.do.txt index a9fe9f951..e844828e3 100644 --- a/doc/web/course.do.txt +++ b/doc/web/course.do.txt @@ -129,7 +129,7 @@ ${text_types(ch)} * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/html/Project2.html" * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project2/html/Project2-bs.html" -=== Project 3, Deadline December 10 === +=== Project 3, Deadline December 14 === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/pdf/Project3.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/Project3/pdf/Project3.pdf" @@ -268,9 +268,9 @@ Acronyms for textbooks and references to chapter |----------------------------------------------------------------------------------------------------------------------------| | 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 | |----------------------------------------------------------------------------------------------------------------------------| -| Week 46 | Bayesian statitics | Project 3 | TBA | Work on project 3 | +| Week 46 | Bayesian statitics | Project 3, deadline December 14 | | Work on project 3 | |----------------------------------------------------------------------------------------------------------------------------| -| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | TBA | Work on project 3 | +| Week 47 | Unsupervised learning, Boltzmann machines | Project 3 | | Work on project 3 | |----------------------------------------------------------------------------------------------------------------------------| -| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 on November 30| +| Week 48 | Summary of course and final workshop | Project 3 | Lecture notes | Final workshop with presentation of project 3 (TBA)| |----------------------------------------------------------------------------------------------------------------------------| diff --git a/doc/web/course.html b/doc/web/course.html index 897608d19..1e8b55590 100644 --- a/doc/web/course.html +++ b/doc/web/course.html @@ -112,7 +112,7 @@ div { text-align: justify; text-justify: inter-word; } ('Second homework set, week 36', 3, None, '___sec22'), ('Project 1, Deadline October 1', 3, None, '___sec23'), ('Project 2, Deadline November 5', 3, None, '___sec24'), - ('Project 3, Deadline December 10', 3, None, '___sec25'), + ('Project 3, Deadline December 14', 3, None, '___sec25'), ('Course content', 3, None, '___sec26'), ('Learning outcomes', 2, None, '___sec27'), ('Prerequisites', 2, None, '___sec28'), @@ -819,7 +819,7 @@ formulas in HTML or ipython notebook files.