# Module 1

To begin, import SimPEG into ipython notebook as follows:


```
from SimPEG import *
from IPython.html.widgets import interactive
```

    Efficiency Warning: Interpolation will be slow, use setup.py!
    
                python setup.py build_ext --inplace
        


<hr>
Module summary: <br>
(1) Start with an expression that relates a kernel function with the continuous distribution of a physical property. <br>
(2) Discretize this expression. <br>
(3) Define a mesh that organizes the data. <br>
(4) Build up the matrix equation $d = G_c diag(\Delta x) m$. <br>
 <hr>

Step 1: Physical property distribution and the kernel function. <br> 
1.1 define kernel function (...add description) <br>
1.2 define the model. (...add description) <br>

Each datum can be expressed as the inner product of the kernel function and the model:<br>

\begin{equation}d_j = \int_a^b g(x) m(x) dx \end{equation}


<hr>
Step 2: Discretize the function for each datum. <br>

\begin{equation}

\end{equation}



```

```

fb00740214c5fd854476c805854952af500dc365
ipynb
Jupyter Notebook
.ipynb_checkpoints/Module 1-Copy0-checkpoint.ipynb
jokulhaup/directed_studies
99f0e6e8cc7010d34db1d9bc37988e4944f66826
MIT
2017-10-08T02:10:35.000Z
2017-10-18T17:49:21.000Z
.ipynb_checkpoints/Module 1-Copy0-checkpoint.ipynb
jokulhaup/directed_studies
99f0e6e8cc7010d34db1d9bc37988e4944f66826
MIT
.ipynb_checkpoints/Module 1-Copy0-checkpoint.ipynb
jokulhaup/directed_studies
99f0e6e8cc7010d34db1d9bc37988e4944f66826
MIT
2016-09-01T20:38:20.000Z
2020-05-13T22:19:16.000Z
Qwen/Qwen-72B
1. YES
2. YES