Results 21 to 30 of about 4,033,855 (220)

Dynamics of the transition to renewable hydrogen [PDF]

open access: yes, 2022
Hydrogen gained a lot of attention as an energy carrier to achieving the goal of net-zero emissions targeted by many governments and businesses around the world.
Fazeli, Reza, Stocks, Matt, Beck, Fiona
core  

Dynamics of Change and Change in Dynamics

open access: yesJournal for Person-Oriented Research, 2016
A framework is presented for building and testing models of dynamic regulation by categorizing sources of differences between theories of dynamics. A distinction is made between the dynamics of change, i.e., how a system self-regulates on a short time scale, and change in dynamics, i.e., how those dynamics may themselves change over a longer time scale.
Steven M, Boker   +2 more
openaire   +3 more sources

Dynam-IX [PDF]

open access: yesProceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 2018
Internet connectivity is changing: Autonomous Systems (ASes) can now reach hundreds of networks directly through interconnections at Internet eXchange Points (IXPs) while reducing latency and improving traffic delivery performance and competitiveness. Despite the benefits, any pair of ASes needs first to agree on exchanging traffic. The current process
Pedro de B. Marcos   +6 more
openaire   +4 more sources

Co-evolutionary analysis: a policy exploration method for system dynamics models [PDF]

open access: yes, 2013
Journal articleIn system dynamics (SD), complex nonlinear systems can generate a wide range of possible behaviours that frequently require search and optimization algorithms in order to explore optimal policies. Within the SD literature, the conventional
Hongliang, Liu   +2 more
core   +1 more source

Dynamic Ic and Dynamic Programming [PDF]

open access: yesSSRN Electronic Journal, 2019
This paper develops a dynamic programming method when the one-stage deviation principle in the sense of mechanism design literature doesn’t hold. The commonly used dynamic programming method is valid only if the one-stage deviation principle in the sense of mechanism design literature is satisfied; it doesn't hold in every model, and the one-stage ...
openaire   +2 more sources

Individual dynamics in dynamic groups

open access: yesApplied Network Science
Abstract Groups are inherently dynamic social entities whose function, adaptation, and outcomes are fundamentally driven by continuous changes in individual membership and affiliation patterns. Existing analytical frameworks often treat the group as the primary unit of analysis, overlooking the complexity of individual trajectories ...
Raji Ghawi, Jürgen Pfeffer
openaire   +1 more source

Dynamical affinity in opinion dynamics modeling [PDF]

open access: yesPhysical Review E, 2007
We here propose a model to simulate the process of opinion formation, which accounts for the mutual affinity between interacting agents. Opinion and affinity evolve self-consistently, manifesting a highly non trivial interplay. A continuous transition is found between single and multiple opinion states.
BAGNOLI, FRANCO   +4 more
openaire   +7 more sources

Quantifying Dynamical Coherence with Dynamical Entanglement [PDF]

open access: yesPhysical Review Letters, 2020
Coherent superposition and entanglement are two fundamental aspects of non-classicality. Here we provide a quantitative connection between the two on the level of operations by showing that the dynamical coherence of an operation upper bounds the dynamical entanglement that can be generated from it with the help of additional incoherent operations.
Thomas Theurer   +2 more
openaire   +3 more sources

Spatial Differentiation in Industrial Dynamics. The Case of the Netherlands (1994–2005) [PDF]

open access: yes, 2015
We compare the industrial dynamics in the core, semi-periphery and periphery in the Netherlands in terms of firm entry-exit, size, growth and location patterns.
Capasso, Marco   +7 more
core   +1 more source

Dynamics of Learning and Learning of Dynamics

open access: yes, 2021
This dissertation investigates the reciprocal benefits between machine learning and dynamical systems with the focus on generative models from machine learning and the Lyapunov theory of stability from dynamical systems. In the first direction, the established theory of control and dynamical systems is used to study the dynamic behavior of learning ...
openaire   +3 more sources

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