Results 1 to 10 of about 15,121,811 (367)
In this paper, we introduce the weak group inverse (called as the WG inverse in the present paper) for square complex matrices of an arbitrary index, and give some of its characterizations and properties.
Wang Hongxing, Chen Jianlong
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The (2,2,0) group inverse problem [PDF]
We characterize the existence of the group inverse of a two by two matrix with zero (2,2) entry, over a ring by means of the existence of the inverse of a suitable function of the other three entries.
Hartwig, Robert E., Patrício, Pedro
core +3 more sources
Inverse Scattering and the Geroch Group [PDF]
We study the integrability of gravity-matter systems in D=2 spatial dimensions with matter related to a symmetric space G/K using the well-known linear systems of Belinski-Zakharov (BZ) and Breitenlohner-Maison (BM).
Katsimpouri, Despoina +2 more
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Inverse limits of topological group cohomologies [PDF]
For second countable locally compact almost connected groups G G and A A , where A A is abelian and G G acts on A A continuously, it is shown that it is possible to represent A A as an inverse limit of Lie groups {
Arnold J. Insel
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In this paper, we study a kind of dual generalized inverses of dual matrices, which is called the dual group inverse. Some necessary and sufficient conditions for a dual matrix to have the dual group inverse are given.
Jin Zhong , Yilin Zhang
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The Group Inverse of the Combinations of Two Idempotent Operators [PDF]
We present some inverses and group inverses results for linear combinations of two idempotents and their products.
Shunqin Wang, Chunyuan Deng
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Weighted MP weak group inverse
To extent the notion of the MP weak group inverse for square matrices, we introduce the concept of the weighted MP weak group inverse for rectangular matrices.
Mosić Dijana, Marovt Janko
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Bayesian Random Tomography of Particle Systems
Random tomography is a common problem in imaging science and refers to the task of reconstructing a three-dimensional volume from two-dimensional projection images acquired in unknown random directions. We present a Bayesian approach to random tomography.
Nima Vakili +2 more
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Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer
Background Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes.
Ana Cernea +7 more
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Prediction of Protein Tertiary Structure via Regularized Template Classification Techniques
We discuss the use of the regularized linear discriminant analysis (LDA) as a model reduction technique combined with particle swarm optimization (PSO) in protein tertiary structure prediction, followed by structure refinement based on singular value ...
Óscar Álvarez-Machancoses +2 more
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