Tensor Methods

TENSOLVE implements a tensor method that goes a step beyond Newton's method by including second-order derivative information from into its model function. For problems with a dense Jacobian matrix, the storage and cost of the linear algebra operations increase only marginally over Newton's method. The tensor method typically converges more rapidly than Newton's method, particularly when is singular at the solution .

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Systems of Nonlinear Equations .

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Updated 28 March 1996