Results 31 to 40 of about 7,604,005 (288)
A distributed line search for network optimization [PDF]
2012 American Control Conference (ACC), 2012 8 pages, 2 figures.
Michael Zargham +2 more
openaire +3 more sources
Searching for Point Locations Using Lines
The College Mathematics Journal, 2023 13 pages, 7 ...
Michelle Cordier, Meaghan Wheeler
openaire +2 more sources
Croatian Operational Research Review, 2022 In this paper, it is aimed to computationally conduct a performance benchmarking for the steepest descent and the three well-known conjugate gradient methods (i.e., Fletcher-Reeves, Polak- Ribiere and Hestenes-Stiefel) along with six different step ...
Kadir Kiran
doaj
An Improved Modification of Accelerated Double Direction and Double Step-Size Optimization Schemes
Mathematics, 2022 We propose an improved variant of the accelerated gradient optimization models for solving unconstrained minimization problems. Merging the positive features of either double direction, as well as double step size accelerated gradient models, we define ...
Milena J. Petrović +4 more
doaj +1 more source
Revisiting the Problem of Searching on a Line [PDF]
, 2013 We revisit the problem of searching for a target at an unknown location on a line when given upper and lower bounds on the distance D that separates the initial position of the searcher from the target. Prior to this work, only asymptotic bounds were known for the optimal competitive ratio achievable by any search strategy in the worst case. We present
Prosenjit Bose +2 more
openaire +4 more sources
On-line Search in Two-Dimensional Environment [PDF]
Theory of Computing Systems, 2018 AbstractWe consider the following on-line pursuit-evasion problem. A team of mobile agents called searchers starts at an arbitrary node of an unknown network. Their goal is to execute a search strategy that guarantees capturing a fast and invisible intruder regardless of its movements using as few searchers as possible.
Dariusz Dereniowski, Dorota Osula
openaire +3 more sources
IEEE AccessImage denoising has long been one of the most important and challenging problem in image processing, especially in the presence of high noisy levels. Considerable effort has been devoted to the development of effective denoising approaches. Over the past
Mahmoud M. Yahaya +2 more
doaj +1 more source
On-line learning from search failures [PDF]
Machine Learning, 1994 Learning by explaining failures and avoiding similar ones thereafter is an attractive way to speed up problem solving. However, previous methods for explanation-based learning from failure can take too long to detect failures, explain them, or test the learned rules.
Neeraj Bhatnagar, Jack Mostow
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source