1985
DOI: 10.1057/jors.1985.68
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Variational Methods for Non-Linear Least-Squares

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Cited by 82 publications
(25 citation statements)
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“…However, the proposed control problem will not converge if the Gauss-Newton scheme is applied. This observation indicates that we are dealing with a highly non-linear problem because the Gauss-Newton method is known to perform poorly in some cases, when the residuals are nonzero at the solution, or when the objective function is highly non-linear (Al-Baali and Fletcher, 1985). To overcome the converge problems the second order term was approximated; m i=1 r i (x)G i A k by the Totally Structured Secant Method (TSSM) proposed by Huschens (Huschens, 1994); additionally the Huschens scaling scheme can be combined with the projected scaling scheme (Eriksson, 1996(Eriksson, , 1999.…”
Section: Minimization Schemementioning
confidence: 99%
“…However, the proposed control problem will not converge if the Gauss-Newton scheme is applied. This observation indicates that we are dealing with a highly non-linear problem because the Gauss-Newton method is known to perform poorly in some cases, when the residuals are nonzero at the solution, or when the objective function is highly non-linear (Al-Baali and Fletcher, 1985). To overcome the converge problems the second order term was approximated; m i=1 r i (x)G i A k by the Totally Structured Secant Method (TSSM) proposed by Huschens (Huschens, 1994); additionally the Huschens scaling scheme can be combined with the projected scaling scheme (Eriksson, 1996(Eriksson, , 1999.…”
Section: Minimization Schemementioning
confidence: 99%
“…If the residuals or second derivatives are small, then the second-order part of the Hessian matrix approaches zero and can be neglected; this approach is known as the Gauss-Newton method. However, the method may perform poorly when the residuals are nonzero in the solution, or when the object function is highly nonlinear, see Al-Baali and Fletcher (1985). The second-order term was therefore approximated as m i=1 r i (x)G i A k by the Totally Structured Secant Method proposed by Huschens (1994).…”
Section: Optimization Schemementioning
confidence: 99%
“…If the residuals or second derivatives are small, then the second order part of the Hessian matrix approaches, zero and can be neglected, this approach is known as the Gauss-Newton method. However, the method may perform poorly when the residuals are nonzero in the solution, or when the object function is highly nonlinear, [8]. Within the current setup, i.e.…”
Section: Optimization Schemementioning
confidence: 99%