Results 91 to 100 of about 37,100 (232)
Computing Skinning Weights via Convex Duality
Computer Graphics Forum, EarlyView.We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
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Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems [PDF]
, 2019 Leah Bar, Nir Sochen
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Data-Centric EngineeringWe propose a physics-constrained convolutional neural network (PC-CNN) to solve two types of inverse problems in partial differential equations (PDEs), which are nonlinear and vary both in space and time.
Daniel Kelshaw, Luca Magri
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Variational Source Conditions and Conditional Stability Estimates for Inverse Problems in PDEs
, 2019 and Applied Analysis, 2008, pp. 1–19, 2008. http://dx.doi. org/10.1155/2008/192679. [BL76] BERGH, J. AND LÖFSTRÖM, J. Interpolation spaces. An introduction. Springer-Verlag, Berlin-New York, 1976. Grundlehren der Mathematischen Wissenschaften, No.
Frederic Weidling
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Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
SIAM Journal on Scientific Computing, 2008 We present a multigrid algorithm for the solution of source identification inverse problems constrained by variable-coefficient linear parabolic partial differential equations. We consider problems in which the inversion variable is a function of space only. We consider the case of $L^2$ Tikhonov regularization. The convergence rate of our algorithm is
Adavani, Santi S, Biros, George
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Monetary Policy and Wealth Effects: The Role of Risk and Heterogeneity
The Journal of Finance, EarlyView.ABSTRACT We study the role of asset revaluation in the monetary transmission mechanism. We build an analytical heterogeneous‐agents model with two main ingredients: (i) rare disasters and (ii) heterogeneous beliefs. The model captures time‐varying risk premia and precautionary savings in a setting that nests the textbook New Keynesian model.
NICOLAS CARAMP, DEJANIR H. SILVA
wiley +1 more source
Macroscopic Market Making Games
Mathematical Finance, EarlyView.ABSTRACT Building on the macroscopic market making framework as a control problem, this paper investigates its extension to stochastic games. In the context of price competition, each agent is benchmarked against the best quote offered by the others. We begin with the linear case.
Ivan Guo, Shijia Jin
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Fully probabilistic deep models for forward and inverse problems in parametric PDEs [PDF]
Journal of Computational Physics, 2022 A. Vadeboncoeur +4 more
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Ghost effect from Boltzmann theory
Communications on Pure and Applied Mathematics, Volume 79, Issue 3, Page 558-675, March 2026.Abstract Taking place naturally in a gas subject to a given wall temperature distribution, the “ghost effect” exhibits a rare kinetic effect beyond the prediction of classical fluid theory and Fourier law in such a classical problem in physics. As the Knudsen number ε$\varepsilon$ goes to zero, the finite variation of temperature in the bulk is ...
Raffaele Esposito +3 more
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Inverse problems for semilinear elliptic PDE with a general nonlinearity $a(x,u)$ [PDF]
, 2023 David Johansson +2 more
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