Numerical methods for boundary value problems on random domains [PDF]
, 2014 In this thesis, we consider the numerical solution of elliptic boundary value problems on random domains. The underlying domain is modelled via a random vector field which is given by its mean and its covariance.
Peters, Michael
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Off-grid direction-of-arrival estimation for wideband noncircular sources
ETRI Journal, 2023 Researchers have recently shown an increased interest in estimating the direction-of-arrival (DOA) of wideband noncircular sources, but existing studies have been restricted to subspace-based methods.
Xiaoyu Zhang +3 more
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An Efficient overloaded implementation of forward mode automatic differentiation in MATLAB [PDF]
, 2006 The Mad package described here facilitates the evaluation of first derivatives of multidimensional functions that are defined by computer codes written in MATLAB.
Forth, Shaun A.
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Jacobian Code Generated by Source Transformation and Vertex Elimination can be as Efficient as Hand-Coding [PDF]
, 2004 This article presents the first extended set of results from ELIAD, a source- transformation implementation of the vertex-elimination Automatic Differentiation approach to calculating the Jacobians of functions defined by Fortran code (Griewank and ...
Reid, John K. +7 more
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Quasi-randomness and algorithmic regularity for graphs with general degree distributions [PDF]
, 2010 We deal with two intimately related subjects: quasi-randomness and regular partitions. The purpose of the concept of quasi-randomness is to express how much a given graph “resembles” a random one.
Schacht, Mathias +5 more
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Symbolic algorithm for solving SLAEs with multi-diagonal coefficient matrices
Discrete and Continuous Models and Applied Computational ScienceSystems of linear algebraic equations with multi-diagonal coefficient matrices may arise after many different scientific and engineering problems, as well as problems of the computational linear algebra where finding the solution of such a system of ...
Veneva Milena
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Methods and effective algorithms for solving multidimensional integral equations
Российский технологический журнал, 2022 Objectives. Integral equations have long been used in mathematical physics to demonstrate existence and uniqueness theorems for solving boundary value problems for differential equations. However, despite integral equations have a number of advantages in
A. B. Samokhin
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Quantum-inspired algorithms in practice [PDF]
Quantum, 2020 We study the practical performance of quantum-inspired algorithms for recommendation systems and linear systems of equations. These algorithms were shown to have an exponential asymptotic speedup compared to previously known classical methods for ...
Juan Miguel Arrazola +3 more
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Element Aggregation for Estimation of High-Dimensional Covariance Matrices
MathematicsThis study addresses the challenge of estimating high-dimensional covariance matrices in financial markets, where traditional sparsity assumptions often fail due to the interdependence of stock returns across sectors.
Jingying Yang
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Direct multiplicative methods for sparse matrices. Linear programming [PDF]
Компьютерные исследования и моделирование, 2017 Multiplicative methods for sparse matrices are best suited to reduce the complexity of operations solving systems of linear equations performed on each iteration of the simplex method.
Anastasiya Borisovna Sviridenko
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