Whether you manipulate the equations or take the matrix route, you’ll end up performing the same total number of computational steps to solve the problem. That number is the cube of the number of ...

SIAM Journal on Numerical Analysis, Vol. 12, No. 4 (Sep., 1975), pp. 617-629 (13 pages) The method of conjugate gradients for solving systems of linear equations with a symmetric positive definite ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

QLSP refers to the problem of solving linear systems of equations using quantum computing. Solutions to the QLSP often rely on the quantumization of classical linear algebra algorithms used in ...

By making use of the HSS iteration as the inner solver for the Newton method, we establish a class of Newton-HSS methods for solving large sparse systems of nonlinear equations with positive definite ...

VQAs solve problems by implementing parameterized quantum circuits in quantum computing and optimizing the parameters of the quantum circuit using classical optimizers. VQAs are widely applied in ...