Results 81 to 90 of about 53,557 (225)
Polynomial chaos forward models in Bayesian inference to solve inverse problems [PDF]
, 2011 In this paper we introduce polynomial chaos in the stochastic forward model used to solve the inverse problem through Bayesian inference. We validate our approach with three different methods that construct the stochastic forward model, to treat the TEAM
Beddek, Karim +4 more
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
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source
Shock and Vibration, 2016 For the frequency response analysis of acoustic field with random and interval parameters, a nonintrusive uncertain analysis method named Polynomial Chaos Response Surface (PCRS) method is proposed.
Mingjie Wang, Zhimin Wan, Qibai Huang
doaj +1 more source
A Class of Quadratic Polynomial Chaotic Maps and Their Fixed Points Analysis
Entropy, 2019 When chaotic systems are used in different practical applications, such as chaotic secure communication and chaotic pseudorandom sequence generators, a large number of chaotic systems are strongly required.
Chuanfu Wang, Qun Ding
doaj +1 more source
Multiscale Uncertainty Quantification with Arbitrary Polynomial Chaos
Computer Methods in Applied Mechanics and Engineering, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nick Pepper +2 more
openaire +3 more sources
1165. Echinacea purpurea (L.) Moench
Curtis's Botanical Magazine, EarlyView.Summary Echinacea purpurea (L.) Moench (Compositae: Heliantheae: Zinniinae) is described and illustrated with a colour plate and black and white text figure. An introduction to the history of the appearance of this species in the Magazine appears in brief, together with comments on the treatment of the genus, and the available generic revisions.
Nicholas Hind +2 more
wiley +1 more source
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 +5 more
wiley +2 more sources
Sleep Deprivation in Mice: Looking Beyond the Slow Wave Rebound
Journal of Sleep Research, EarlyView.ABSTRACT Sleep is a fundamental process supporting the dynamic regulation of neural function. Emerging methods have proposed that the aperiodic components of brain signals (such as the spectral slope, spectral intercept, and spectral knee), in addition to entropy‐based measures, offer robust empirical markers of neural states.
Tárek Zoltán Magyar +2 more
wiley +1 more source
Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks
Complexity, 2021 Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems.
Chengmei Fan +4 more
doaj +1 more source