Update installation guide.

Author: hunghaoti

DoxygenLayout.xml

@@ -37,7 +37,7 @@
     </tab>
     <tab type="examples" visible="yes" title="" intro=""/>
     <tab type="user" visible="yes" title="version log" url="@ref version_log"/>
-    <tab type="user" visible="yes" title="User Guide" url="https://cytnx-dev.github.io/Cytnx_doc"/>
+    <tab type="user" visible="yes" title="User Guide" url="../build/html/index.html"/>
   </navindex>
 
   <!-- Layout definition for a class page -->

docs/source/adv_install.rst

@@ -34,15 +34,11 @@ In addition, you might want to install the following optional dependencies if yo
 * Nvidia cuTensor library
 * Nvidia cuQuantum library
 
-[MAGMA]
-
-* MAGMA 2.7 currently required strict cuda version v11.8
-
 
 [Python API]
 
-* python >= 3.6
-* pybind11
+* python >= 3.9
+* pybind11 >= 3.0.0
 * python-graphviz
 * graphviz
 * numpy
@@ -73,7 +69,7 @@ There are two methods how you can set-up all the dependencies before starting th
 .. code-block:: shell
 
     $conda config --add channels conda-forge
-    $conda create --name cytnx python=3.8 _openmp_mutex=*=*_llvm
+    $conda create --name cytnx python=3.9 _openmp_mutex=*=*_llvm
     $conda activate cytnx
     $conda upgrade --all
 
@@ -83,21 +79,21 @@ There are two methods how you can set-up all the dependencies before starting th
 .. code-block:: shell
 
     $conda config --add channels conda-forge
-    $conda create --name cytnx python=3.8 llvm-openmp
+    $conda create --name cytnx python=3.9 llvm-openmp
     $conda activate cytnx
     $conda upgrade --all
 
 .. Note::
 
-    1. The python=3.8 indicates the Python version you want to use. Generally, Cytnx is tested with 3.7/3.8/3.9. You can replace this with the version you want to use.
+    1. The python=3.9 indicates the Python version you want to use. Generally, Cytnx is tested with 3.9+. You can replace this with the version you want to use.
     2. The last line is updating all the libraries such that they are all dependent on the conda-forge channel.
 
 
 2. Install the following dependencies:
 
 .. code-block:: shell
 
-    $conda install cmake make boost libboost git compilers numpy openblas arpack pybind11 beartype
+    $conda install cmake make boost libboost git compilers numpy openblas arpack pybind11 beartype arpack
 
 
 .. Note::
@@ -107,7 +103,7 @@ There are two methods how you can set-up all the dependencies before starting th
 
         .. code-block:: shell
 
-            $conda install cmake make boost libboost git compilers numpy mkl mkl-include mkl-service arpack pybind11 libblas=*=*mkl beartype
+            $conda install cmake make boost libboost git compilers numpy mkl mkl-include mkl-service arpack pybind11 libblas=*=*mkl beartype arpack
 
     3. After the installation, an automated test based on gtest and benchmark can be run. This option needs to be activated in the install script. In this case, gtest needs to be installed as well:
 
@@ -167,13 +163,22 @@ Compiling process
 -------------------
 Once you installed all the dependencies, it is time to start building the Cytnx source code.
 
-**Option A. Compiling with script**
+**Option A. Using cmake preset**
+
+We support the ``cmake-presets`` tool for building the library starting from version
+v1.1.0. You can find the configuration file in ``CMakePresets.json``. For example,
+if you choose the ``openblas-cpu`` preset, use the following command to build:
 
-Starting from v0.7.6a, Cytnx provides a shell script **Install.sh**, which contains all the cmake arguments as a check list. To install, edit the script, un-comment and modify custom parameters in the corresponding lines. Then, simply execute this script:
 
 .. code-block:: shell
 
-    $sh Install.sh
+    $cmake --preset openblas-cpu
+    $cmake --build --preset openblas-cpu
+.. note::
+
+   If you are using Visual Studio Code, you can also take advantage of the
+   *CMake Tools* extension, which provides built-in support for selecting and
+   running CMake presets directly from the editor.
 
 
 **Option B. Using cmake install**
@@ -185,7 +190,7 @@ Please see the following steps for the standard cmake compiling process and all
 
 .. code-block:: shell
 
-    $make build
+    $mkdir build
     $cd build
 
 2. Use cmake to automatically generate compiling files:
@@ -199,7 +204,7 @@ The following are the available compiling option flags that you can specify in *
 +------------------------+-------------------+------------------------------------+
 |       options          | default           |          description               |
 +------------------------+-------------------+------------------------------------+
-| -DCMAME_INSTALL_PREFIX | /usr/local/cytnx  | Install destination of the library |
+| -DCMAKE_INSTALL_PREFIX | /usr/local/cytnx  | Install destination of the library |
 +------------------------+-------------------+------------------------------------+
 | -DBUILD_PYTHON         |   ON              | Compile and install Python API     |
 +------------------------+-------------------+------------------------------------+
@@ -290,7 +295,7 @@ In the case that Cytnx is installed locally from binary build, not from anaconda
 
 Generate API documentation
 *************************************
-An API documentation can be generated from the source code of Cytnx by using doxygen. The documentation is accessible online at <https://kaihsinwu.gitlab.io/cytnx_api/>. To create it locally, make sure that doxygen is installed:
+An API documentation can be generated from the source code of Cytnx by using doxygen. The documentation is accessible online at `here <../api_build/html/index.html>`__. To create it locally, make sure that doxygen is installed:
 
 .. code-block:: shell
 

docs/source/guide/linalg.rst

@@ -1,7 +1,7 @@
 Linear algebra
 ===============
 
-Currently, Cytnx supports the following linear algebra functions. See https://kaihsin.github.io/Cytnx/docs/html/index.html for further documentation.
+Currently, Cytnx supports the following linear algebra functions. See A for further documentation.
 
 +-----------------------------------------------------------------------+---------+-----+------+-------------+----+----------------+
 |   func                                                                | Inplace | CPU | GPU  | Called by Tn| Tn | CyTn (xlinalg) |

docs/source/install.rst

@@ -37,7 +37,7 @@ In the following we show how to install Cytnx with conda.
         :linenos:
 
         $conda config --add channels conda-forge
-        $conda create --channel conda-forge --name cytnx python=3.8 llvm-openmp
+        $conda create --channel conda-forge --name cytnx python=3.9 llvm-openmp
 
 
 .. note::
@@ -124,6 +124,7 @@ Let us consider the same example as before for Python. Here, we want to compile
     #include "cytnx.hpp"
     #include <iostream>
     using namespace std;
+    using namespace cytnx;
 
     int main(){
         auto A = zeros(4);