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Questions related to the calculation or use of the Jacobian matrix or its determinant. Not to be confused with the Jacobi iterative method for solving systems of linear equations. For those, use [iterative-method] instead.

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Number of function calls and jacobian calls in scipy.root

= [[2 * x[0], 2 * x[1]], [3, 7]] return jacobian x0 = [0, 0] result = root(fun, x0, jac=jac) print(result) print(nfev, njev) I get the following output: message: The solution converged. … Would providing the Jacobian accelerate the calculations or improve the accuracy? If so in which circumstances? …
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