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Incorporating prior information into inverse problems, e.g. via maximum-a-posteriori estimation, is an important technique for facilitating robust inverse problem solutions. In this paper, we devise two novel approaches for linear inverse…

信号处理 · 电气工程与系统科学 2024-03-19 Carter Lyons , Raghu G. Raj , Margaret Cheney

The results on the inversion of convolution operators as well as Toeplitz (and block Toeplitz) matrices in the $1$-D (one-dimensional) case are classical and have numerous applications. Last year, we considered the $2$-D case of…

经典分析与常微分方程 · 数学 2024-04-03 Inna Roitberg , Alexander Sakhnovich

We study the combinatorial description of the LDU decomposition of totally positive matrices. We give a description of the lower triangular L, the diagonal D, and the upper triangular U matrices of the LDU decomposition of totally positive…

组合数学 · 数学 2015-10-28 Muhammad El Gebali , Nermine El-Sissi

Deep Gaussian Processes (DGP) are hierarchical generalizations of Gaussian Processes (GP) that have proven to work effectively on a multiple supervised regression tasks. They combine the well calibrated uncertainty estimates of GPs with the…

In this paper, we propose a distributed algorithm for solving large-scale separable convex problems using Lagrangian dual decomposition and the interior-point framework. By adding self-concordant barrier terms to the ordinary Lagrangian, we…

最优化与控制 · 数学 2013-02-14 I. Necoara , J. A. K. Suykens

An algorithm for computing {2, 3}, {2, 4}, {1, 2, 3}, {1, 2, 4} -inverses and the Moore-Penrose inverse of a given rational matrix A is established. Classes A(2, 3)s and A(2, 4)s are characterized in terms of matrix products (R*A)+R* and…

符号计算 · 计算机科学 2011-04-12 Stanimirović , P. S. , Tasić , M. B

This paper presents a comprehensive analysis of the well-known extragradient (EG) method for solving both equations and inclusions. First, we unify and generalize EG for [non]linear equations to a wider class of algorithms, encompassing…

最优化与控制 · 数学 2024-09-26 Quoc Tran-Dinh , Nghia Nguyen-Trung

This paper studies high-dimensional regression with two-way structured data. To estimate the high-dimensional coefficient vector, we propose the generalized matrix decomposition regression (GMDR) to efficiently leverage any auxiliary…

统计方法学 · 统计学 2023-02-17 Yue Wang , Ali Shojaie , Timothy W. Randolph , Parker Knight , Jing Ma

Let $\mathscr{C}$ be an additive category with an involution $\ast$. Suppose that $\varphi : X \rightarrow X$ is a morphism with kernel $\kappa : K \rightarrow X$ in $\mathscr{C}$, then $\varphi$ is core invertible if and only if $\varphi$…

环与代数 · 数学 2018-04-25 Tingting Li , Jianlong Chen , Mengmeng Zhou , Dingguo Wang

We prove that any compact surface with constant positive curvature and conical singularities can be decomposed into irreducible components of standard shape, glued along geodesic arcs connecting conical singularities. This is a spherical…

几何拓扑 · 数学 2022-01-05 Guillaume Tahar

This paper presents the forward and backward derivatives of partial eigendecomposition, i.e. where it only obtains some of the eigenpairs, of a real symmetric matrix for degenerate cases. The numerical calculation of forward and backward…

数值分析 · 数学 2020-11-10 Muhammad Firmansyah Kasim

We address the general mathematical problem of computing the inverse $p$-th root of a given matrix in an efficient way. A new method to construct iteration functions that allow calculating arbitrary $p$-th roots and their inverses of…

In this article we study the deformation of finite maps and show how to use this deformation theory to construct varieties with given invariants in a projective space. Among other things, we prove a criterion that determines when a finite…

代数几何 · 数学 2010-06-08 F. J. Gallego , M. González , B. P. Purnaprajna

For the second fundamental representation of the general linear group over a commutative ring $R$ we construct straightforward and uniform polynomial expressions of elementary generators as products of elementary conjugates of an arbitrary…

群论 · 数学 2024-05-31 Roman Lubkov

How can we compute the pseudoinverse of a sparse feature matrix efficiently and accurately for solving optimization problems? A pseudoinverse is a generalization of a matrix inverse, which has been extensively utilized as a fundamental…

机器学习 · 计算机科学 2020-11-10 Jinhong Jung , Lee Sael

In this paper we establish links between, and new results for, three problems that are not usually considered together. The first is a matrix decomposition problem that arises in areas such as statistical modeling and signal processing:…

最优化与控制 · 数学 2013-02-05 James Saunderson , Venkat Chandrasekaran , Pablo A. Parrilo , Alan S. Willsky

We introduce an $hp$-version symmetric interior penalty discontinuous Galerkin finite element method (DGFEM) for the numerical approximation of the biharmonic equation on general computational meshes consisting of polygonal/polyhedral…

数值分析 · 数学 2018-09-25 Zhaonan Dong

Let $\mathscr{C}$ be an additive category with an involution $\ast$. Suppose that $\varphi : X \rightarrow X$ is a morphism of $\mathscr{C}$ with core inverse $\varphi^{\co} : X \rightarrow X$ and $\eta : X \rightarrow X$ is a morphism of…

范畴论 · 数学 2017-01-02 Tingting Li , Jianlong Chen , Sanzhang Xu

Compression of inverted lists with methods that support fast intersection operations is an active research topic. Most compression schemes rely on encoding differences between consecutive positions with techniques that favor small numbers.…

信息检索 · 计算机科学 2009-11-18 Francisco Claude , Antonio Farina , Gonzalo Navarro

Drazin inverses are a fundamental algebraic structure which have been extensively deployed in semigroup theory, ring theory, and matrix theory. Drazin inverses can also be defined for endomorphisms in any category. However, beyond a paper…

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