-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
-
`igraph_lapack_dgeev()` and related functions return complex eigenvector in a "compressed" form, stored in a real matrix. Real and imaginary parts of the vector are associated with the complex eigenva…
-
如题,您的框架能否实现复数矩阵的特征向量?
-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
-
I'm not sure whether this is the right place to ask my question but here we go:
I'm currently trying to speed up gaussian processes by using the Wendland kernel (https://github.com/cornellius-gp/gpyt…
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# Defining Object
- [ ] Define quaternion: 4-length vector, all real numbers (floats)
# Operations on Quaternions
- [ ] Adding & subtracting
- [ ] Scalar multiplication
- [ ] Hamilton product (…
-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
-
See for instance https://github.com/numpy/numpy/issues/13797. It might be useful to have a special function for a hermitian transpose, which would be equivalent to `conjugate(matrix_transpose(x))`.
…