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    A quadratic-tensor model algorithm for nonlinear least-squares problems with linear constraints (1992)
    In:  Other Sources
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    Publication Date: 2011-08-24
    Description: A new algorithm for solving nonlinear least-squares and nonlinear equation problems is proposed which is based on approximating the nonlinear functions using the quadratic-tensor model by Schnabel and Frank. The algorithm uses a trust region defined by a box containing the current values of the unknowns. The algorithm is found to be effective for problems with linear constraints and dense Jacobian matrices.
    Keywords: COMPUTER PROGRAMMING AND SOFTWARE
    Type: ACM Transactions on Mathematical Software (ISSN 0098-3500); 18; 2; p. 115-133.
    Format: text
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