scipy.sparse.linalg.lsqr — SciPy v1.7.1 Manual
https://docs.scipy.org/.../generated/scipy.sparse.linalg.lsqr.htmlParameters A {sparse matrix, ndarray, LinearOperator}. Representation of an m-by-n matrix. Alternatively, A can be a linear operator which can produce Ax and A^T x using, e.g., scipy.sparse.linalg.LinearOperator. b array_like, shape (m,). Right-hand side vector b.. damp float. Damping coefficient. atol, btol float, optional. Stopping tolerances. If both are 1.0e-9 (say), the …
cupyx.scipy.sparse.linalg.lsqr — CuPy 10.0.0 documentation
docs.cupy.dev › en › stablecupyx.scipy.sparse.linalg.lsqr(A, b) [source] ¶. Solves linear system with QR decomposition. Find the solution to a large, sparse, linear system of equations. The function solves Ax = b. Given two-dimensional matrix A is decomposed into Q * R. Parameters. A ( cupy.ndarray or cupyx.scipy.sparse.csr_matrix) – The input matrix with dimension (N, N)
scipy.sparse.linalg.lsqr — SciPy v1.7.1 Manual
docs.scipy.org › scipyscipy.sparse.linalg. lsqr (A, b, damp = 0.0, atol = 1e-08, btol = 1e-08, conlim = 100000000.0, iter_lim = None, show = False, calc_var = False, x0 = None) [source] ¶ Find the least-squares solution to a large, sparse, linear system of equations.
scipy.sparse.linalg.lsqr — SciPy v1.4.0 Reference Guide
https://docs.scipy.org/.../generated/scipy.sparse.linalg.lsqr.htmlscipy.sparse.linalg.lsqr¶ scipy.sparse.linalg.lsqr (A, b, damp=0.0, atol=1e-08, btol=1e-08, conlim=100000000.0, iter_lim=None, show=False, calc_var=False, x0=None) [source] ¶ Find the least-squares solution to a large, sparse, linear system of equations. The function solves Ax = b or min ||b-Ax||^2 or min ||Ax-b||^2 + d^2 ||x||^2.. The matrix A may be square or rectangular (over …
Python Examples of scipy.sparse.linalg.lsqr
www.programcreek.com › scipyThe following are 30 code examples for showing how to use scipy.sparse.linalg.lsqr().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
scipy.sparse.linalg.lsqr — SciPy v0.14.0 Reference Guide
https://docs.scipy.org/.../generated/scipy.sparse.linalg.lsqr.html11.05.2014 · scipy.sparse.linalg.lsqr¶ scipy.sparse.linalg.lsqr(A, b, damp=0.0, atol=1e-08, btol=1e-08, conlim=100000000.0, iter_lim=None, show=False, calc_var=False) [source] ¶ Find the least-squares solution to a large, sparse, linear system of equations. The function solves Ax = b or min ||b-Ax||^2 or min ||Ax-b||^2 + d^2 ||x||^2.. The matrix A may be square or rectangular (over …
scipy.sparse.linalg.lsqr — SciPy v0.14.0 Reference Guide
docs.scipy.org › scipyMay 11, 2014 · scipy.sparse.linalg.lsqr(A, b, damp=0.0, atol=1e-08, btol=1e-08, conlim=100000000.0, iter_lim=None, show=False, calc_var=False) [source] ¶ Find the least-squares solution to a large, sparse, linear system of equations.
scipy.sparse.linalg.lsmr — SciPy v1.7.1 Manual
docs.scipy.org › scipyAs indicated by istop=1, lsmr found a solution obeying the tolerance limits. The given solution [1., -1.] obviously solves the equation. The remaining return values include information about the number of iterations (itn=1) and the remaining difference of left and right side of the solved equation.