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State-Dependent Swee** Processes: Asymptotic Behavior and Algorithmic Approaches
In this paper, we investigate the asymptotic properties of a particular class of state-dependent swee** processes. While extensive research has...
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Uncertainty analysis in acoustics: perturbation methods and isogeometric boundary element methods
This study proposes a generalized n th-order perturbation method based on (isogeometric) boundary element methods for uncertainty analysis in 3D...
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A class of fully nonlinear equations on Riemannian manifolds with negative curvature
In this paper, we consider a class of fully nonlinear equations on Riemannian manifolds with negative curvature which naturally arise in conformal...
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Multiple Positive Solutions for Quasilinear Elliptic Problems in Expanding Domains
In this paper we prove the existence of multiple positive solutions for a quasilinear elliptic problem with unbalanced growth in expanding domains by...
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Minimal measures beyond Mather
For a positive definite Lagrangian, the minimal measure was defined in terms of first homology or cohomology class. For a configuration manifold that...
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Uniqueness of weak solutions of the Plateau flow
In this paper, we study the uniqueness of weak solutions of the heat flow of half-harmonic maps, which was first introduced by Wettstein as a...
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Pricing and carbon reduction decisions for a new uncertain dual-channel supply chain under cap-and-trade regulation
This study concentrates on the pricing issue in a low-carbon dual-channel (DC) supply chain, where the upper-level manufacturer is regulated by the...
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Parameterization, algorithmic modeling, and fluid–structure interaction analysis for generative design of transcatheter aortic valves
Heart valves play a critical role in maintaining proper cardiovascular function in the human heart; however, valve diseases can lead to improper...
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Proximal Point Method for Quasiconvex Functions in Riemannian Manifolds
This paper studies the convergence of the proximal point method for quasiconvex functions in finite dimensional complete Riemannian manifolds. We...
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Convex optimization via inertial algorithms with vanishing Tikhonov regularization: fast convergence to the minimum norm solution
In a Hilbertian framework, for the minimization of a general convex differentiable function f , we introduce new inertial dynamics and algorithms that...
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Partial dominance in branch-price-and-cut algorithms for vehicle routing and scheduling problems with a single-segment tradeoff
For many variants of vehicle routing and scheduling problems solved by a branch-price-and-cut (BPC) algorithm, the pricing subproblem is an...
