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A Derivative-Free Line-Search Algorithm for Simulation-Driven Design Optimization Using Multi-Fidelity Computations

open access: yesMathematics, 2022
The paper presents a multi-fidelity extension of a local line-search-based derivative-free algorithm for nonsmooth constrained optimization (MF-CS-DFN).
Riccardo Pellegrini   +5 more
doaj   +1 more source

Discriminating Meta-Search: A Framework for Evaluation [PDF]

open access: yes, 1999
There was a proliferation of electronic information sources and search engines in the 1990s. Many of these information sources became available through the ubiquitous interface of the Web browser.
Bodner, Richard C.   +2 more
core   +1 more source

Dealer on-line registration system

open access: yes, 1999
Rev. 10/99.; Cover title.; "Dealer On-Line Procedure Manual"--Introd.; Accompanied by 1 sheet of automobile registration cards and 1 application for duplicate certificate of title, with cover sheet.; Harvested from the web on 5/6 ...
Connecticut. Dept. of Motor Vehicles. Dealers and Repairers Division.
core   +3 more sources

On-line learning from search failures [PDF]

open access: yesMachine 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

A Benchmark Study on Steepest Descent and Conjugate Gradient Methods-Line Search Conditions Combinations in Unconstrained Optimization

open access: yesCroatian 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

open access: yesMathematics, 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

Searching for Point Locations Using Lines

open access: yesThe College Mathematics Journal, 2023
13 pages, 7 ...
Michelle Cordier, Meaghan Wheeler
openaire   +2 more sources

Denoising Colour Images Corrupted by Salt-and-Pepper Noise: Weighted Mean Filter With Iterative Approach and Deep Learning Modeling

open access: yesIEEE Access
Image 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 Search in Two-Dimensional Environment [PDF]

open access: yesTheory 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

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko   +5 more
wiley   +1 more source

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