IDE: Microsoft Visual Studio 2017. Require C++ 11
- Implement Matrix Class
- Mostly done.
- The second class "matlab" provides methods for
- operations associated with more than two matrices.
- statistics methods: variance, covariance, etc.
- matrix operations with iterator & parallelism
- exceptions handling optimization
- file read/write
- more element-wise arithmetic operations
- elementary row operation in case of rounding error
- Documentation
- Be extremely careful about any operation of
_matthat may invalidate Matrix::iterator._matmust keep its iterators stable with any computation except construction(including row/col editing).
- The Matrix class index from ZERO, not one.
- The core Matrix elements are stored in vector of vector.
- Matrix constructors should not support prmitave array (like double[][]) for safety reason.
-
matrix.cpp
The entry of the application.
-
mymatrix.h
The definition of matrix class.
-
specialmat.h
Some special matrices that inherite the base Matrix class.
-
matlab.h
The definition of matlab class.
-
exception.h
The definition of Matrix related exception classes.
-
ml.h
(future development) The definition of encapsulation of machine learning algorithm.
-
test.cpp
The test file.
-
stdafx.h targetver.h
Additional file required by Visual Studio.
- About user-defined iterator. See https://stackoverflow.com/questions/8054273/how-to-implement-an-stl-style-iterator-and-avoid-common-pitfalls.
- About disable "D_SCL_SECURE_NO_WARNING". See https://stackoverflow.com/a/25046975/7110228.
- C++11 random number generator. See https://stackoverflow.com/a/19666713/7110228.
for k=1:n
A[k][k] = 1 / A[k][k]
for i=1:n and i!=k
A[i][k] = - A[i][k] / A[k][k]
end
for i=1:n, j=1:n, i!=k, j!=k
A[i][j] = A[i][j] + A[i][k] * A[k][j]
end
for j=1:n, j!=k
A[k][j] = A[k][k] * A[k][j]
end
end