Results 51 to 60 of about 12,261,514 (349)
Generation Methods for Multidimensional Knapsack Problems and their Implications [PDF]
Although there are a variety of heuristics developed and applied to the variants of the binary knapsack problem, the testing of these heuristics are based on poorly defined test problems.
Raymond R. Hill, Chaitr Hiremath
doaj
A deterministic mathematical model for the polymerization of hyperbranched molecules accounting for substitution, cyclization, and shielding effect has been developed as a system of nonlinear population balances.
Iedema, Piet D., Kryven, Ivan
core +2 more sources
Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang +7 more
wiley +1 more source
This article explores the effectiveness of applying a new multidimensional graphical method to the teaching and learning of economics. In essence, the paper extends the significance of multi-dimensional graphs to study any economic phenomenon from a ...
Mario Arturo Ruiz Estrada
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THE PROCEDURES OF VISUAL ANALYSIS FOR MULTIDIMENSIONAL DATA VOLUMES [PDF]
The paper is devoted to problems of visual analysis of multidimensional data sets using an approach based on the construction of elastic maps. This approach is quite suitable for processing and visualizing of multidimensional datasets.
A. E. Bondarev
doaj +1 more source
Multidimensional Electrical Networks and their Application to Exponential Speedups for Graph Problems [PDF]
Jianqiang Li, Sebastian Zur
openalex +1 more source
An Adaptive Quantum-inspired Differential Evolution Algorithm for 0-1 Knapsack Problem
Differential evolution (DE) is a population based evolutionary algorithm widely used for solving multidimensional global optimization problems over continuous spaces. However, the design of its operators makes it unsuitable for many real-life constrained
Hota, Ashish Ranjan, Pat, Ankit
core +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser +6 more
wiley +1 more source
Experiment Plan as a Discreet System Equilibrium State
The method of obtaining the plan of experiments in multidimensional space is considered in the paper. The method is based on assumptions of uniform distribution of charged particles in infinite space.
Kante Normunds +2 more
doaj +1 more source

