Waiting to your reply, thank you in advance Sign in to answer this question. ![]() ![]() The only other technical thing you could try here is to explicitly call lu, chol, or ldl, depending on the matrix you have, and perform backward/forward substitution yourself. lsqr finds a least squares solution for x that minimizes norm (b-Ax). If you give a matrix B as the right-hand side, the performance is much better than if you only solve one system of equations with a b vector. When unit weights are used, the numbers should be divided by the variance of an observation.įor WLS, the ordinary objective function above is replaced for a weighted average of residuals. Where I know de matrix K (3x3) and M (3x3), and have to find the vector w. x lsqr (A,b) attempts to solve the system of linear equations Ax b for x using the Least Squares Method. You can solve algebraic equations, differential equations, and differential algebraic equations (DAEs). These values can be used for a statistical criterion as to the goodness of fit. Solve algebraic and differential equations. Least squares approximation of linear functions to data Part of a series onĮ = 0,
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