نتایج جستجو برای: right matrix majorization

تعداد نتایج: 638129  

2006
Patrick J. F. Groenen Georgi I. Nalbantov J. Cor Bioch

To minimize the primal support vector machine (SVM) problem, we propose to use iterative majorization. To do so, we propose to use iterative majorization. To allow for nonlinearity of the predictors, we use (non)monotone spline transformations. An advantage over the usual kernel approach in the dual problem is that the variables can be easily interpreted. We illustrate this with an example from...

Journal: :Computational Statistics & Data Analysis 2021

Abstract Multivariate regression techniques are commonly applied to explore the associations between large numbers of outcomes and predictors. In real-world applications, often mixed types, including continuous measurements, binary indicators, counts, observations may also be incomplete. Building upon recent advances in mixed-outcome modeling sparse matrix factorization, generalized co-sparse f...

Journal: :Linear Algebra and its Applications 2021

In this paper, we study the metric geometric mean introduced by Pusz and Woronowicz spectral Fiedler Pták, originally for positive definite matrices. The relation between t-metric t-spectral is established via log majorization. result then extended in context of symmetric space associated with a noncompact semisimple Lie group. For any Hermitian matrices X Y, So's matrix exponential formula ass...

2004
Emden R. Gansner Yehuda Koren Stephen C. North

One of the most popular graph drawing methods is based of achieving graphtheoretic target ditsances. This method was used by Kamada and Kawai [15], who formulated it as an energy optimization problem. Their energy is known in the multidimensional scaling (MDS) community as the stress function. In this work, we show how to draw graphs by stress majorization, adapting a technique known in the MDS...

ژورنال: پژوهش های ریاضی 2020

Doubly stochastic matrices play a fundamental role in the theory of majorization. Birkhoff's theorem explains the relation between $ntimes n$ doubly stochastic matrices and permutations. In this paper, we first introduce double-null  operators and we will find some important properties of them. Then with the help of double-null operators, we investigate Birkhoff's theorem for descreate $l^p$ sp...

The aim of the present work is to introduce the concept of $lambda _{r}$-almost convergence of sequences. We define the spaces $fleft( lambda _{r}right) $ and $f_{0}left( lambda _{r}right) $ of $ lambda _{r}$-almost convergent and $lambda _{r}$-almost null sequences. We investigate some inclusion relations concerning those spaces with examples and we determine the $beta $- and $gamma $-duals of...

Journal: :CoRR 2013
Zbigniew Puchala Lukasz Rudnicki Karol Zyczkowski

Zbigniew Puchała, Łukasz Rudnicki, Karol Życzkowski Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland Institute of Physics, Jagiellonian University, ul. Reymonta 4, 30-059 Kraków, Poland Center for Theoretical Physics, Polish Academy of Sciences, al. Lotników 32/46, 02-668 Warszawa, Poland Freiburg Insitute for Advanced Studies, Alb...

Journal: :Discrete Mathematics 2009
Tim Dwyer Yehuda Koren Kim Marriott

The adoption of the stress-majorization method from multi-dimensional scaling into graph layout has provided an improved mathematical basis and better convergence properties for so-called “force-directed placement” techniques. In this paper we explore algorithms for augmenting such stress-majorization techniques with simple linear constraints using gradient-projection optimization techniques. O...

2013
Chengwen Xing Shaodan Ma Zesong Fei

In this paper, linear transceiver design for multi-hop amplify-and-forward (AF) multi-input multi-output (MIMO) relaying systems with Gaussian distributed channel estimation errors is investigated. Commonly used transceiver design criteria including weighted mean-square-error (MSE) minimization, capacity maximization, worst-MSE/MAX-MSE minimization and weighted sum-rate maximization, are consid...

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