Improving the performance of dynamically allocated matrices
I am writing a program to do some linear algebra calculations on 300 x 300 complex matrices using the eigen library. I have a family of matrices, which can be thought of as a function of some parameter. Since the matrices are large, I think I would need to allocate them dynamically (via heap allocation). My code is as follows:
Improving the performance of dynamically allocated matrices
I am writing a program to do some linear algebra calculations on 300 x 300 complex matrices using the eigen library. I have a family of matrices, which can be thought of as a function of some parameter. Since the matrices are large, I think I would need to allocate them dynamically (via heap allocation). My code is as follows:
Improving the performance of dynamically allocated matrices
I am writing a program to do some linear algebra calculations on 300 x 300 complex matrices using the eigen library. I have a family of matrices, which can be thought of as a function of some parameter. Since the matrices are large, I think I would need to allocate them dynamically (via heap allocation). My code is as follows: