Doc : Append doc

docfx_project/api/index.md

@@ -1,2 +1,3 @@
-# PLACEHOLDER
-TODO: Add .NET projects to the *src* folder and run `docfx` to generate **REAL** *API Documentation*!
+# NumSharp docfx documentation
+
+This is the autogenerated documentation of NumSharp

docfx_project/articles/NDArray.Creation.md

@@ -1,4 +1,4 @@
-# Array creation
+ # Array creation
 
 Before we do some fancy numeric stuff or even machine learning we have to clear one thing. 
 
@@ -55,6 +55,16 @@ using NumSharp.Core;
 NDArray nd = new double[]{1,2,3,4};
 ```
 
+And for matrix and n dim tensors also work the same.
+
+```CSHARP
+using NumSharp.Core;
+
+NDArray nd = new double[,]{{1,2,3},{4,5,6}};
+```
+
+Beside the .NET array to NDArray converting there exist different kinds of methods which also exist in numpy.
+
 **Create by given range**
 
 ```CSHARP
@@ -67,4 +77,28 @@ var np1 = np.arange(10);
 // this time start with 1, step 2 
 // and do it as long as smaller than 10
 var np2 = np.arange(1,10,2);
-```
+```
+
+**Create diagonal matrix**
+
+```CSHARP
+using NumSharp.Core;
+
+// simple 5x5 eye matrix
+var nd1 = np.eye(5);
+
+// 3x3 eye matrix but elements different diagonal 
+nd1 = np.eye(3,1);
+```
+
+**Create by linspace**
+
+```CSHARP
+using NumSharp.Core;
+
+// create vector with 50 elements, from 4 to 10
+// include last element 
+// and convert them to double (float64)
+var nd1 = np.linspace(4,10, 50, true, np.float64);
+```
+

docfx_project/articles/NDArray.LinAlg.md

@@ -0,0 +1,17 @@
+ # Linear algebra
+
+ Now we got some arrays so we should understand what we can do with it. 
+
+## element wise operation
+
+## Matrix Transpose 
+
+## Matrix and Vector multiplication
+
+ ## Solve Linear Equation 
+
+ ## QR decomposition 
+
+ ## Inverse of Matrix 
+
+ ## SVD

docfx_project/articles/intro.md

@@ -39,7 +39,9 @@ NDStorage is an object which stores the data of a tesor in a single 1D array. Si
 
 **But hold on! How the data comes into this 1D arrayand how we get them back?**
 
-NDStorage has a property called "shape". The shape is a small but important class in NumSharp. It stores the dimensions and most important! it determines which element in the 1D array is selected by given indexes. 
+NDStorage has a property called "shape". The shape is a small but important class in NumSharp. It stores the dimensions and most important! it determines which element in the 1D array is selected by given indexes.
+
+To understand the methods for determines 1D internal storage index by NDArray indexes and vice versa we give examples of different tensor types.
 
 **Vector**
 
@@ -97,6 +99,7 @@ So fill first dimension, increase next, fill again, etc. also in n dimensional t
 
 And this you can imagine as **forward filling layout**.
 
+That's it. Now you have enough knowledge about NDArray, NDStorage and Shape. Check the other chapters for a how to use. :)
 
 
 

docfx_project/articles/toc.yml

@@ -1,4 +1,8 @@
 - name: Introduction
   href: intro.md
 - name: Array Creation 
-  href: NDArray.Creation.md
+  href: NDArray.Creation.md
+- name: Linear Algebra
+  href: NDArray.LinAlg.md
+
+