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Permutation sorting, one of the fundamental steps in pre-processing data for the efficient application of other algorithms, has a long history in mathematical research literature and has numerous applications. Two special-purpose sorting…

A special sorting operation called Context Directed Swap, and denoted \textbf{cds}, performs certain types of block interchanges on permutations. When a permutation is sortable by \textbf{cds}, then \textbf{cds} sorts it using the fewest…

组合数学 · 数学 2020-11-03 G. Brown , A. Mitchell , R. Raghavan , J. Rogge , M. Scheepers

The special purpose sorting operation, context directed swap (CDS), is an example of the block interchange sorting operation studied in prior work on permutation sorting. CDS has been postulated to model certain molecular sorting events…

组合数学 · 数学 2018-11-30 Marisa Gaetz , Bethany Flanagan , Marion Scheepers , Meghan Shanks

The study of sorting permutations by block interchanges has recently been stimulated by a phenomenon observed in the genome maintenance of certain ciliate species. The result was the identification of a block interchange operation that…

组合数学 · 数学 2019-04-09 C. A. Brown , C. S. Carrillo Vazquez , R. Goswami , S. Heil , M. Scheepers

A sequence of reversals that takes a signed permutation to the identity is perfect if at no step a common interval is broken. Determining a parsimonious perfect sequence of reversals that sorts a signed permutation is NP-hard. Here we show…

组合数学 · 数学 2009-05-18 Mathilde Bouvel , Cedric Chauve , Marni Mishna , Dominique Rossin

Variants of the coordinate descent approach for minimizing a nonlinear function are distinguished in part by the order in which coordinates are considered for relaxation. Three common orderings are cyclic (CCD), in which we cycle through…

最优化与控制 · 数学 2018-06-05 Ching-Pei Lee , Stephen J. Wright

Perfect sorting by reversals, a problem originating in computational genomics, is the process of sorting a signed permutation to either the identity or to the reversed identity permutation, by a sequence of reversals that do not break any…

离散数学 · 计算机科学 2012-01-05 Mathilde Bouvel , Cedric Chauve , Marni Mishna , Dominique Rossin

The periodic (ordinal) patterns of a map are the permutations realized by the relative order of the points in its periodic orbits. We give a combinatorial characterization of the periodic patterns of an arbitrary signed shift, in terms of…

组合数学 · 数学 2013-05-01 Kassie Archer , Sergi Elizalde

We show that the theory of sorting by reversals fits into the well-established theory of circuit partitions of 4-regular multigraphs (which also involves the combinatorial structures of circle graphs and delta-matroids). In this way, we…

离散数学 · 计算机科学 2017-01-27 Robert Brijder

In this paper, we introduce CDL, a software library designed for the analysis of permutations and linear orders subject to various structural restrictions. Prominent examples of these restrictions include pattern avoidance, a topic of…

数学软件 · 计算机科学 2025-12-04 Bei Zhou , Klas Markstrōm , Søren Riis

In this paper, we present an algorithm that enumerates a certain class of signed permutations, referred to as grid signed permutation classes. In the case of permutations, the corresponding grid classes are of interest because they are…

组合数学 · 数学 2023-06-02 Saúl A. Blanco , Daniel E. Skora

We prove that conflict-driven clause learning SAT-solvers with the ordered decision strategy and the DECISION learning scheme are equivalent to ordered resolution. We also prove that, by replacing this learning scheme with its opposite that…

计算机科学中的逻辑 · 计算机科学 2019-09-11 Nathan Mull , Shuo Pang , Alexander Razborov

Sorting a permutation by reversals is a famous problem in genome rearrangements. Since 1997, quite some biological evidence were found that in many genomes the reversed regions are usually flanked by a pair of inverted repeats. This type of…

数据结构与算法 · 计算机科学 2023-02-09 Xin Tong , Yixiao Yu , Ziyi Fang , Haitao Jiang , Lusheng Wang , Binhai Zhu , Daming Zhu

For learned image compression, the autoregressive context model is proved effective in improving the rate-distortion (RD) performance. Because it helps remove spatial redundancies among latent representations. However, the decoding process…

图像与视频处理 · 电气工程与系统科学 2021-04-02 Dailan He , Yaoyan Zheng , Baocheng Sun , Yan Wang , Hongwei Qin

We consider a class of structured fractional minimization problems, in which the numerator part of the objective is the sum of a differentiable convex function and a convex non-smooth function, while the denominator part is a convex or…

最优化与控制 · 数学 2023-03-27 Ganzhao Yuan

We consider coordinate descent (CD) methods with exact line search on convex quadratic problems. Our main focus is to study the performance of the CD method that use random permutations in each epoch and compare it to the performance of the…

最优化与控制 · 数学 2018-03-23 Mert Gurbuzbalaban , Asuman Ozdaglar , Nuri Denizcan Vanli , Stephen J. Wright

This paper investigates Cross-Domain Sequential Recommendation (CDSR), a promising method that uses information from multiple domains (more than three) to generate accurate and diverse recommendations, and takes into account the sequential…

In sorting situations where the final destination of each item is known, it is natural to repeatedly choose items and place them where they belong, allowing the intervening items to shift by one to make room. (In fact, a special case of…

组合数学 · 数学 2008-09-18 Sergi Elizalde , Peter Winkler

Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-Solomon codes, permit data recovery from any subset of k nodes within the n-node network. However, regenerating codes possess in addition,…

信息论 · 计算机科学 2015-03-17 Nihar B. Shah , K. V. Rashmi , P. Vijay Kumar , Kannan Ramchandran

Contextual information is a valuable cue for Deep Neural Networks (DNNs) to learn better representations and improve accuracy. However, co-occurrence bias in the training dataset may hamper a DNN model's generalizability to unseen scenarios…

计算机视觉与模式识别 · 计算机科学 2021-10-22 Sharat Agarwal , Sumanyu Muku , Saket Anand , Chetan Arora
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