update README.md.

Signed-off-by: 刘明宏 <liuminghong@mail.sdu.edu.cn>

README.md

@@ -67,94 +67,5 @@ mex -largeArrayDims -L'PATH\TO\YOUR \Pardiso\panua-pardiso-20230718-win\lib' -ll
 
 Ubuntu：Refer to the official README provided in the Panua-Pardiso package.
 
-/***********************************************************************************************************************
- Copyright (C) 2022 until present, by Panua Technologies Sagl, Switzerland. All Rights Reserved.                      
-  Interface between the Panua-Pardiso 8.0 solver and Matlab.
- This program can be downloaded from the following site: http://www.panua.ch 
- The above copyright and permission notice must appear in all partial and complete copies of this file.               
-***********************************************************************************************************************/
-------------
-INSTALLATION
-------------
-This interface for Panua-Pardiso was created using the Matlab external ('mex') interface. For more information on mex, consult
-the MathWorks website at https://www.mathworks.com/help/matlab/call-mex-file-functions.html. In order to use this interface in
-Matlab, you will first have to configure mex on your system. This can be done by typing in the Matlab command line
-
->> mex -setup
-
-The easiest way to install the interface is to use the provided Makefile and type in the command line 
-$ make all
-To remove all mex executables type in the command line
-$ make clean
-The provided interface is currently compatible with Linux users. The Makefile specifies four variables
-that you might need to adapt according to your system setup. These are
-1. MEXSUFFIX: the suffix appended to the MEX files on your system. For more information type in the Matlab command line
->> ext = mexext
-or visit https://mathworks.com/help/matlab/ref/mexext.html
-2. MEX: the mex executable located somewhere within your MATLAB installation directory. 
-3. CXX: your C++ compiler (executable). 
-IMPORTANT: The linked C++ compiler must be compatible with your MATLAB installation. MathWorks keeps a detailed list of MATLAB
-software package versions and the compilers that are compatible with them here:
-https://mathworks.com/support/requirements/supported-compilers-linux.html.
-4. PARDISOHOME: the directory where the Pardiso shared library is located. 
-SUGGESTED: your home directory "${HOME}".
-If you are not using the provided Makefile, you can compile file individually from the command line. The example below
-creates the mex executable pardisoinit.mexa64
-$ mex -cxx CXX=g++ CC=g++ LD=g++ -L\~\ -lpardiso -lmwlapack -lmwblas -lgfortran -lpthread -lm -output pardisoinit common.cpp
-matlabmatrix.cpp sparsematrix.cpp pardisoinfo.cpp pardisoinit.cpp
-Depending on your system setup you may need to include other flags, such as -largeArrayDims. 
-------------
-CONTENTS
-------------
-├── common.h, .cpp              # Commonly used mex check functions.
-├── matlabmatrix.h, .cpp        # Functions to ensure the compatibility of Pardiso with Matlab matrices.
-├── pardisoinfo.h, .cpp         # Available functionalities of the Pardiso solver.
-├── pardisoinit.cpp             # Initialize the Pardiso data structures. Specify type of matrix, and solver. Produces executable.
-    ├── pardisoinit.mexa64                                  
-├── pardisofree.cpp             # Release memory associated with all internal Pardiso structures. Produces executable.
-    ├── pardisofree.mexa64       
-├── pardisoreorder.cpp          # Pardiso reordering (symbolic factorization) of sparse input matrix. Produces executable.
-    ├── pardisoreorder.mexa64
-├── pardisofactor.cpp           # Numeric factorization of a sparse matrix. Produces executable.
-    ├── pardisofactor.mexa64    
-├── pardisosolve.cpp            # Pardiso solution for a system of equations. Produces executable.              
-    ├── pardisosolve.mexa64
-├── example_complex.m           # Using Pardiso on a sparse, symmetric, and complex matrix.
-├── example_hermitian.m         # Using Pardiso on a sparse complex Hermitian positive definite matrix.
-├── example_symmetric.m         # Using Pardiso on a sparse real and symmetric matrix.
-├── example_unsymmetrix.m       # Using Pardiso on a sparse real and unsymmetric matrix.
-------------
-NOTES
-------------
-1. Discrepancy in OMP version used.
-A common error with mex files is the version of OMP that is statically linked to the program. This error would appear 
-after executing the mex file and would read:
-
->> OMP: Error #15: Initializing libiomp5.a, but found libiomp5.so already initialized.
-   OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. 
-   That is dangerous, since it can degrade performance or cause incorrect results. 
-To work around this issue set the environment variable KMP_DUPLICATE_LIB_OK to TRUE, in order to allow the program
-to continue its execution. In the Matlab command line this is achieved by typing
->> setenv("KMP_DUPLICATE_LIB_OK","TRUE")
-2. Controlling the number of available cores.
-The safest way to control the number of cores is by setting the environment variable in the command line, e.g.,
-$ export OMP_NUM_THREADS=16
-and then executing Matlab from the same terminal session/window. To check that the number of cores is set
-correctly, either use
-
->> verbose = true;
-in your code, or print out the value of (after Pardiso has been initialized)
->> fprintf('Number of cores %d',info.iparm(3));
-It always recommended to control the parallel execution of the solver by explicitly setting OMP_NUM_THREADS. If fewer
-processors are available than specified, the execution may slow down instead of speeding up. 
-Note that the number of threads that can be utilized by Pardiso is bounded by the maximum number of threads 
-allowed by your Panua licence. For more information visit http://www.panua.ch/pardiso.  
-------------
-MISC
-------------
-- The mex interface was first developed by Peter Carbonetto, UBC Vancouver, October 2009. Adapted and modified
-by Dimosthenis Pasadakis, Panua-Technologies, January 2024.
-
-