Results 101 to 110 of about 2,291,454 (248)
Medial Axis Aware Learning of Signed Distance Functions
Abstract We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump set of the gradient of the SDF, which coincides with the medial axis of the surface, is explicitly taken into account through a higher‐order variational formulation that enforces linear growth ...
Samuel Weidemaier +2 more
wiley +1 more source
An Inverse Source Problem for Singular Parabolic Equations with Interior Degeneracy
The main purpose of this work is to study an inverse source problem for degenerate/singular parabolic equations with degeneracy and singularity occurring in the interior of the spatial domain.
Khalid Atifi +3 more
doaj +1 more source
Progressive Convex Hull Simplification
Abstract Convex hulls are useful as tight bounding proxies for a variety of tasks including collision detection, ray intersection, and distance computation. Unfortunately, the complexity of polyhedral convex hulls grows linearly with their input. We consider the problem of conservatively simplifying a convex hull to a specified number of half‐spaces ...
Alec Jacobson
wiley +1 more source
A Splitting Architecture for Exact Reduced Coulomb Friction
Abstract Existing approaches to frictional contact dynamics typically either modify the Coulomb law to improve numerical robustness or solve the exact law in a fully coupled monolithic form. However, in its reduced form, exact Coulomb friction can be written as a cone complementarity problem with an augmented velocity, which reveals a natural split ...
Hongcheng Song +3 more
wiley +1 more source
In this article, we explore the existence and uniqueness of mild solutions to fractional stochastic differential equations involving the ABC derivative with the Lipschitz coefficients.
Maheswari Rangasamy +6 more
doaj +1 more source
Convergence theorems and stability results for Lipschitz strongly pseudocontractive operators
Suppose that X is an arbitrary real Banach space and T:X→X is a Lipschitz strongly pseudocontractive operator. It is proved that under certain conditions the Ishikawa iterative method with errors converges strongly to the fixed point of T and this ...
Zeqing Liu, Lili Zhang, Shin Min Kang
doaj +1 more source
Fairness‐aware insurance pricing: A multi‐objective optimization approach
Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley +1 more source
Density‐Valued ARMA Models by Spline Mixtures
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley +1 more source
Robust Estimation and Inference for Time‐Varying Unconditional Volatility
ABSTRACT We derive a general and robust estimator of a large class of parametric specifications of time‐varying unconditional volatility of financial returns, both univariate and multivariate, and establish the Consistency and Asymptotic Normality (CAN) of the estimator.
Adam Lee +2 more
wiley +1 more source
Observer Design for a Class of Lipschitz Nonlinear Systems with Output Uncertainty
:By means of linear matrix inequality (LMI) based Lyapunov method,a nonlinear observer was proposed for a class of Lipschitz nonlinear system with output uncertainty.The observer gain matrix was selected according to LMI with the output uncertainty ...
doaj

