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We introduce a method to obtain deformed defects starting from a given scalar field theory which possesses defect solutions. The procedure allows the construction of infinitely many new theories that support defect solutions, analytically…

High Energy Physics - Theory · Physics 2009-11-07 D. Bazeia , L. Losano , J. M. C. Malbouisson

Deviations between the form of trajectory assumed in a fit to a set of measurements and the actual form of the trajectory can give rise to sequential correlations in the residuals from the fit. These correlations can provide a more powerful…

High Energy Physics - Experiment · Physics 2009-10-31 Robert V. Kowalewski , Paul D. Jackson

The defect morphology is an essential aspect of the evolution of crystals' microstructure and its response to stress. Existing methods either only report defect concentration or characterize only some of the defect morphologies. The need…

Computational Physics · Physics 2021-04-21 Utkarsh Bhardwaj , Andrea E. Sand , Manoj Warrier

In this paper we outline the application of decomposition to condensation defects and their fusion rules. Briefly, a condensation defect is obtained by gauging a higher-form symmetry along a submanifold, and so there is a natural interplay…

High Energy Physics - Theory · Physics 2022-11-09 Ling Lin , Daniel G. Robbins , Eric Sharpe

A systematic procedure for obtaining defect structures through cyclic deformation chains is introduced and explored in detail. The procedure outlines a set of rules for analytically constructing constraint equations that involve the finite…

High Energy Physics - Theory · Physics 2013-04-09 Alex E. Bernardini , Roldao da Rocha

We show that with any finite partially ordered set one can associate a matrix whose determinant factors nicely. As corollaries, we obtain a number of results in the literature about GCD matrices and their relatives. Our main theorem is…

Combinatorics · Mathematics 2007-05-23 Ercan Altinisik , Bruce E. Sagan , Naim Tuglu

We investigate a general matrix factorization for deviance-based data losses, extending the ubiquitous singular value decomposition beyond squared error loss. While similar approaches have been explored before, our method leverages…

Machine Learning · Statistics 2023-07-04 Liang Wang , Luis Carvalho

Gini distance correlation (GDC) was recently proposed to measure the dependence between a categorical variable, Y, and a numerical random vector, X. It mutually characterizes independence between X and Y. In this article, we utilize the GDC…

Methodology · Statistics 2023-04-19 Yongli Sang , Xin Dang

We study a number of (3+1)- and (2+1)-dimensional defect and boundary conformal field theories holographically dual to supergravity theories. In all cases the defects or boundaries are planar, and the defects are codimension-one. Using…

High Energy Physics - Theory · Physics 2015-11-09 John Estes , Kristan Jensen , Andy O'Bannon , Efstratios Tsatis , Timm Wrase

We analyze the defect scaling Lee-Yang model from the perturbed defect conformal field theory (DCFT) point of view. First the defect Lee-Yang model is solved by calculating its structure constants from the sewing relations. Integrable…

High Energy Physics - Theory · Physics 2015-06-16 Zoltan Bajnok , Laszlo Hollo , Gerard Watts

We study ways to accelerate greedy coordinate descent in theory and in practice, where "accelerate" refers either to $O(1/k^2)$ convergence in theory, in practice, or both. We introduce and study two algorithms: Accelerated Semi-Greedy…

Optimization and Control · Mathematics 2018-06-08 Haihao Lu , Robert M. Freund , Vahab Mirrokni

As a data-driven method, the performance of deep convolutional neural networks (CNN) relies heavily on training data. The prediction results of traditional networks give a bias toward larger classes, which tend to be the background in the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-04 N. Anantrasirichai , David Bull

The state-of-the-art methods for solving optimization problems in big dimensions are variants of randomized coordinate descent (RCD). In this paper we introduce a fundamentally new type of acceleration strategy for RCD based on the…

Optimization and Control · Mathematics 2018-02-13 Dmitry Kovalev , Eduard Gorbunov , Elnur Gasanov , Peter Richtárik

We consider coordinate descent methods on convex quadratic problems, in which exact line searches are performed at each iteration. (This algorithm is identical to Gauss-Seidel on the equivalent symmetric positive definite linear system.) We…

Optimization and Control · Mathematics 2020-01-14 Stephen J. Wright , Ching-Pei Lee

In this paper, we propose a graph correspondence transfer (GCT) approach for person re-identification. Unlike existing methods, the GCT model formulates person re-identification as an off-line graph matching and on-line correspondence…

Computer Vision and Pattern Recognition · Computer Science 2018-04-03 Qin Zhou , Heng Fan , Shibao Zheng , Hang Su , Xinzhe Li , Shuang Wu , Haibin Ling

We show that defect modes in infinite systems of resonators have corresponding modes in finite systems which converge as the size of the system increases. We study the generalized capacitance matrix as a model for three-dimensional coupled…

Mathematical Physics · Physics 2023-08-16 Habib Ammari , Bryn Davies , Erik Orvehed Hiltunen

We extend the so-called retract relation given in [6] for involutive set-theoretic solutions of the Pentagon Equation and we introduce the notion of associated permutation group to study the family of the commutative non-degenerate ones.…

Quantum Algebra · Mathematics 2024-04-23 Marco Castelli

We discuss various tests of the factorization hypothesis making use of the close relationship between semi-leptonic and factorized nonleptonic decay amplitudes. It is pointed out that factorization leads to truely model-independent…

High Energy Physics - Phenomenology · Physics 2009-10-22 Volker Rieckert

In this paper we use the deformation procedure introduced in former work on deformed defects to investigate several new models for real scalar field. We introduce an interesting deformation function, from which we obtain two distinct…

High Energy Physics - Theory · Physics 2008-11-26 D. Bazeia , M. A. González León , L. Losano , J. Mateos Guilarte

In this paper a method of constructing a semiorthogonal decomposition of the derived category of $G$-equivariant sheaves on a variety $X$ is described, provided that the derived category of sheaves on $X$ admits a semiorthogonal…

Algebraic Geometry · Mathematics 2015-10-22 Alexey Elagin
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