Results 61 to 70 of about 13,481 (226)

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Local/global non-intrusive coupling strategy for robust design: a first attempt

Advanced Modeling and Simulation in Engineering Sciences
This work investigates how non-intrusive local/global coupling strategies can be applied in the context of robust design. The objective is to propagate uncertainties from the local to the global scale using non-intrusive techniques, in order to estimate ...
Léa Karaouni, Ludovic Chamoin, Olivier Allix, Stéphane Guinard   +3 more
doaj   +1 more source

Embracing Complexity in HRM Research: A Call for System and Process Perspectives

Human Resource Management, EarlyView.
ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley   +1 more source

Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design

, 2017
In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas from compressed sensing may be employed to exploit this sparsity in order to
Diaz, Paul, Doostan, Alireza, Hampton, Jerrad   +2 more
core   +1 more source

A Novel Optimized Local Linearization Hybrid Block Method for Chaotic Systems: Applications to Stretch‐Twist‐Fold Flow and Bond Orbital Chaotic Attractors

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT The numerical approximation of nonlinear chaotic differential systems, such as the modified stretch‐twist‐fold (STF) flow and multi‐bond chaotic attractors, presents a significant challenge due to their sensitive dependence on initial conditions and complex dynamics where analytical solutions are unattainable.
Shina Daniel Oloniiju, Anastacia Dlamini
wiley   +1 more source

The Role of Chemistry Across Disciplines From Humanities to Life Sciences in Understanding Complexity and Emergence

Angewandte Chemie, Volume 138, Issue 17, 20 April 2026.
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe, Josef Wachtveitl, Alexander Heckel, Florian Buhr, Sabrina Toews, Thomas M. Schimmer   +5 more
wiley   +2 more sources

Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience

Frontiers in Neuroinformatics, 2018
Computational models in neuroscience typically contain many parameters that are poorly constrained by experimental data. Uncertainty quantification and sensitivity analysis provide rigorous procedures to quantify how the model output depends on this ...
Simen Tennøe, Simen Tennøe, Geir Halnes, Geir Halnes, Gaute T. Einevoll, Gaute T. Einevoll, Gaute T. Einevoll   +6 more
doaj   +1 more source

Analyzing nuclear reactor simulation data and uncertainty with the group method of data handling

Nuclear Engineering and Technology, 2020
Group method of data handling (GMDH) is considered one of the earliest deep learning methods. Deep learning gained additional interest in today's applications due to its capability to handle complex and high dimensional problems.
Majdi I. Radaideh, Tomasz Kozlowski
doaj   +1 more source

A Near-Optimal Sampling Strategy for Sparse Recovery of Polynomial Chaos Expansions

, 2017
Compressive sampling has become a widely used approach to construct polynomial chaos surrogates when the number of available simulation samples is limited.
Alemazkoor, Negin, Meidani, Hadi
core   +1 more source

The feasibility principle in community ecology

Oikos, EarlyView.
The structure and function of ecological communities emerge from interactions among populations within specific environmental contexts. Yet we still lack general principles that explain how communities assemble, which patterns we should expect, and when transitions occur across diverse settings.
Serguei Saavedra
wiley   +1 more source