2017
DOI: 10.1007/s10479-017-2518-z
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How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results

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Cited by 15 publications
(8 citation statements)
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“…In [39], section 8 we showed some features (such as convexity and Lipschitz continuity properties) of the above object functions. The search of global minimum requires usually global optimization methods ( [32], [33]). Global optimization algorithms in turn require an initial point.…”
Section: Inverse Radiation Treatment Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…In [39], section 8 we showed some features (such as convexity and Lipschitz continuity properties) of the above object functions. The search of global minimum requires usually global optimization methods ( [32], [33]). Global optimization algorithms in turn require an initial point.…”
Section: Inverse Radiation Treatment Problemmentioning
confidence: 99%
“…Moreover, the applied optimization method should be reasonably fast. The initialization (that is, the determination of an initial solution for global optimization scheme) is necessary since the determination of a carefully chosen initial point for a large dimensional global optimization scheme is very essential for achieving time saving and satisfactory results ( [33]). We prove in section 5.3 that for a certain (related) convex object function, the optimal control exists, and we give formulas for it in a variational form.…”
Section: Introductionmentioning
confidence: 99%
“…for some constants (weights) c T , c C , c N , c > 0, where X := T 2 (Γ − ) × H 1 (I, T 2 (Γ ′ − )) 2 and it is equipped with the inner product g, h X := g 1 , h 1 T 2 (Γ − ) + dimensional global optimization scheme is very essential for achieving (time savings and) satisfactory results ( [73]). We also notice that if we contented ourselves with so-called mild solutions ([71], p. 146), then the existence of an optimal control g (the admissible set being a subset of T 2 (Γ − ) 3 ), together with the explicit formula g = 1 c (γ − (ψ * )) + for it, could be proven under quite weak assumptions.…”
Section: Outlook Towards Inverse Radiation Treatment Planningmentioning
confidence: 99%
“…We emphasize that the linear models are a subclass of nonlinear models, nonlinear models can theoretically model both the linear and nonlinear data. However, most nonlinear approaches have well-known shortcomings as they are hard to optimize due to high computational complexity [12] and tend to overfit [13].…”
Section: Introductionmentioning
confidence: 99%