Results 81 to 90 of about 568,612 (221)

Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction

open access: yesComputer Graphics Forum, EarlyView.
Abstract View‐dependent appearance modeling remains a challenging problem in novel‐view synthesis and reconstruction. Accurately representing complex angular effects often requires substantial memory and computational resources. For new learning‐based methods, a common approach is to rely on Spherical Harmonics (SH).
Ewa Miazga, Jorge Condor, Piotr Didyk
wiley   +1 more source

Primal SPH Solver for Strongly Coupled Multiphase Simulations with High Density Ratios

open access: yesComputer Graphics Forum, EarlyView.
Abstract In recent years, the Smoothed Particle Hydrodynamics (SPH) approach has been increasingly used for multiphase simulations involving interactions between diverse materials. A critical component of an SPH simulator is the pressure solver, which not only facilitates the simulation of compressible or incompressible fluids but also handles contact ...
Jan Bender   +3 more
wiley   +1 more source

Symmetries of 2-lattices and second order accuracy of the Cauchy-Born model [PDF]

open access: yes, 2013
We show that the Cauchy-Born model of a single-species 2-lattice is second order if the atomistic and continuum kinematics are connected in a novel way. Our proof uses a generalization to 2-lattices of the point symmetry of Bravais lattices. Moreover, by
Koten, Brian Van, Ortner, Christoph
core   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

open access: yesInternational Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda   +2 more
wiley   +1 more source

Gradient Structures Associated with a Polynomial Differential Equation

open access: yesMathematics, 2020
In this paper, by using the characteristic system method, the kernel of a polynomial differential equation involving a derivation in R n is described by solving the Cauchy Problem for the corresponding first order system of PDEs.
Savin Treanţă
doaj   +1 more source

On the well-posedness of weakly hyperbolic equations with time-dependent coefficients [PDF]

open access: yes, 2012
30.10.12 KB.
Garetto, Claudia   +7 more
core   +1 more source

Mixing It Up: Inflation at Risk

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

Sequential Outlier Detection in Nonstationary Time Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs   +2 more
wiley   +1 more source

On spectral question of the Cauchy-Riemann operator with homogeneous boundary value conditions

open access: yesҚарағанды университетінің хабаршысы. Математика сериясы, 2018
In this paper we consider the eigenvalue problem for the Cauchy - Riemann operator with homogeneous Dirichlet type boundary conditions. The statement of the problem is justified to the theorem of M. Otelbaev and A.N.
N.S. Imanbaev, B.E. Kanguzhin
doaj   +1 more source

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source

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