Results 51 to 60 of about 419,297 (312)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger +8 more
wiley +1 more source
Subdomain separability in global optimization
Journal of Global Optimization, 2022 AbstractWe introduce a generalization of separability for global optimization, presented in the context of a simple branch and bound method. Our results apply to continuously differentiable objective functions implemented as computer programs. A significant search space reduction can be expected to yield an acceleration of any global optimization ...
Jens Deussen, Uwe Naumann
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Application of data mining in a global optimization algorithm [PDF]
, 2014 A hybrid global optimization algorithm is developed in this research. The probability of finding the globaloptimal solution is increased by reducing the search space.
J.H. Huang, T.Y. Chen
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Mathematics, 2022 This article considers a box-constrained global optimization problem for Lipschitz continuous functions with an unknown Lipschitz constant. The well-known derivative-free global search algorithm DIRECT (DIvide RECTangle) is a promising approach for such ...
Linas Stripinis, Remigijus Paulavičius
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) has undergone major changes in the last decades. Its prevalence has been steadily increasing and numerous advances have been made in the management of the disease. However, the effect in real‐life setting of these major changes is unknown, particularly in a Canadian environment. Procedure We aimed to assess
Maude Cigna +16 more
wiley +1 more source
Novelty search for global optimization
Applied Mathematics and Computation, 2019 Novelty search is a tool in evolutionary and swarm robotics for maintaining the diversity of population needed for continuous robotic operation. It enables nature-inspired algorithms to evaluate solutions on the basis of the distance to their k-nearest neighbors in the search space.
Iztok Fister 0001 +7 more
openaire +4 more sources
Globally optimal regions and boundaries [PDF]
Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999 We propose a new form of energy functional for the segmentation of regions in images, and an efficient method for finding its global optima. The energy can have contributions from both the region and its boundary, thus combining the best features of region- and boundary-based approaches to segmentation. By transforming the region energy into a boundary
Ian Jermyn, Hiroshi Ishikawa 0002
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Mathematics, 2022 This paper contains two main parts, Part I and Part II, which discuss the local and global minimization problems, respectively. In Part I, a fresh conjugate gradient (CG) technique is suggested and then combined with a line-search technique to obtain a ...
Khalid Abdulaziz Alnowibet +4 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
Global optimality conditions and optimization methods for polynomial programming problems [PDF]
, 2015 This paper is concerned with the general polynomial programming problem with box constraints, including global optimality conditions and optimization methods.
Wu, Zhiyou, Ugon, Julien, Tian, Jing
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