Results 61 to 70 of about 2,390 (186)
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
Mathematical Finance, EarlyView.ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Polynomial chaos expansions for damped oscillators
, 2015 Uncertainty quantification is the state-of-the-art framework dealing with uncertainties arising in all kind of real-life problems. One of the framework’s functions is to propagate uncertainties from the stochastic input factors to the output quantities of interest, hence the name uncertainty propagation.
Mai, Chu V., Sudret, Bruno
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BuildingsAccurate prediction and uncertainty quantification of tunnel water inflow are critical for construction safety, risk mitigation, and groundwater-control planning.
Jing Qian +3 more
doaj +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
Swiss Political Science Review, EarlyView.Abstract This study analyses the success of populist radical right (PRR) parties in the 2023 Swiss elections using reference group theory. While existing literature emphasizes the influence of objective and subjective group membership on electoral choice, it often overlooks voters' feelings toward groups they do not belong to and their perceptions of ...
Anke Tresch, Line Rennwald
wiley +1 more source
A polynomial chaos approach to stochastic variational inequalities [PDF]
Journal of Numerical Mathematics, 2010 We consider stochastic elliptic variational inequalities of the second kind involving a bilinear form with stochastic diffusion coefficient. We prove existence and uniqueness of weak solutions, propose a stochastic Galerkin approximation of an equivalent parametric reformulation, and show equivalence to a related collocation method.
Ralf Forster, Ralf Kornhuber
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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
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Unveiling the role of the venous system in arterial hypertension: A computational study
The Journal of Physiology, EarlyView.Abstract figure legend This abstract figure summarizes the principal findings of our computational analysis of hypertension. Model‐based results identify reduced venous compliance as a major determinant of elevated arterial pressure, second only to increased peripheral resistance.
Eleuterio F. Toro +4 more
wiley +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
Communications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.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
PoCET: a Polynomial Chaos Expansion Toolbox for Matlab
IFAC-PapersOnLine, 2020 6 pages, 4 figures, Accepted for the 21st IFAC WC ...
Felix Petzke +2 more
openaire +2 more sources