Extensions, Dilations and Functional Models of Infinite Jacobi Matrix [PDF]
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openaire +3 more sources
Jacobi Algorithm for Nonnegative Matrix Factorization with Transform Learning [PDF]
Nonnegative matrix factorization (NMF) is the state-of-the-art approach to unsupervised audio source separation. It relies on the factorization of a given short-time frequency transform into a dictionary of spectral patterns and an activation matrix.
Herwig Wendt +2 more
openaire +2 more sources
Fast Nodal Hessian Computation for Peridynamic Fracture Simulation
A fast, exact nodal Hessian computation for Non‐Ordinary State‐Based Peridynamics is introduced through analytical simplification and a warp‐centric GPU strategy. The method accelerates preconditioned solvers and Vertex Block Descent, enabling interactive fracture simulation with physical accuracy.
Yuxiong Qin +2 more
wiley +1 more source
On large-scale diagonalization techniques for the Anderson model of localization [PDF]
We propose efficient preconditioning algorithms for an eigenvalue problem arising in quantum physics, namely the computation of a few interior eigenvalues and their associated eigenvectors for large-scale sparse real and symmetric indefinite matrices of ...
Bollhofer, Matthias +8 more
core +1 more source
Trace formulas and Borg-type theorems for matrix-valued Jacobi and Dirac finite difference operators [PDF]
Borg-type uniqueness theorems for matrix-valued Jacobi operators H and supersymmetric Dirac difference operators D are proved. More precisely, assuming reflectionless matrix coefficients A,B in the self-adjoint Jacobi operator H=AS++A-S-+B (with S± the ...
Gesztesy, Fritz +3 more
core +1 more source
Ideology and Agenda Setting in the High Court of Australia
ABSTRACT Does judicial ideology affect the process of agenda‐setting in the High Court of Australia? Applications for “special leave” to appeal are the primary method through which the High Court manages its caseload, analogous to certiorari at the U.S. Supreme Court.
Pat Leslie +3 more
wiley +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
An precoding method based on two-sided Jacobi SVD in MIMO PLC system
In recent years, the MIMO technology has been paid extensive attention in the field of power line communication, which can enhance the system bit rate and spectrum efficiency without increasing bandwidth.
Lin Huan, Li Xiang
doaj +1 more source
Equilibrium Reward for Liquidity Providers in Automated Market Makers
ABSTRACT We find the equilibrium contract that an automated market maker (AMM) offers to their strategic liquidity providers (LPs) in order to maximize the order flow that gets processed by the venue. Our model is formulated as a leader–follower stochastic game, where the venue is the leader and a representative LP is the follower.
Alif Aqsha +2 more
wiley +1 more source
Matrix Jacobi Biorthogonal Polynomials via Riemann-Hilbert problem [PDF]
We consider matrix orthogonal polynomials related to Jacobi type matrices of weights that can be defined in terms of a given matrix Pearson equation. Stating a Riemann-Hilbert problem we can derive first and second order differential relations that these
Mañas, Manuel +3 more
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