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    Chapter

    Synchronous SGD and Straggler-Resilient Variants

    For large training datasets, it can be prohibitively slow to conduct sequential SGD training at a single node, as we described in Chap. 1.

    Gauri Joshi in Optimization Algorithms for Distributed Machine Learning (2023)

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    Chapter and Conference Paper

    Dynamic Compact Planar Embeddings

    This paper presents a way to compactly represent dynamic connected planar embeddings, which may contain self loops and multi-edges, in \(4m + o(m)\) ...

    Travis Gagie, Meng He, Michael St Denis in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Efficient Parameterized Pattern Matching in Sublinear Space

    The parameterized matching problem is a variant of string matching, which is to search for all parameterized occurrences of a pattern P in a text T. In considering matching algorithms, the combinatorial natures o...

    Haruki Ideguchi, Diptarama Hendrian in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Linear Interpolation of Program Control with Respect to a Multidimensional Parameter in the Convergence Problem

    We consider a control system containing a constant three-dimensional vector parameter, the approximate value of which is reported to the control person only at the moment of the movement start. The set of poss...

    Vladimir Nikolaevich Ushakov in Mathematical Optimization Theory and Opera… (2023)

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    Chapter

    Local-Update and Overlap SGD

    In the last two chapters, we studied synchronous and asynchronous SGD, where the workers compute mini-batch gradients and the parameter server aggregates them and updates the model. Both these algorithms and t...

    Gauri Joshi in Optimization Algorithms for Distributed Machine Learning (2023)

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    Chapter and Conference Paper

    String Covers of a Tree Revisited

    We consider covering labeled trees with a collection of paths with the same string label, called a (string) cover of a tree. This problem was originated by Radoszewski et al. (SPIRE 2021), who show how to comp...

    Łukasz Kondraciuk in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Uncertainty of Graph Clustering in Correlation Block Model

    Cluster analysis is a powerful tool in network science and it is well developed in many directions. However, the uncertainty analysis of clustering algorithms is still not sufficiently investigated in the lite...

    Artem Aroslankin, Valeriy Kalyagin in Mathematical Optimization Theory and Opera… (2023)

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    Chapter

    Decentralized SGD and Its Variants

    In all the distributed SGD implementations that we studied so far, namely, synchronous SGD.

    Gauri Joshi in Optimization Algorithms for Distributed Machine Learning (2023)

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    Chapter and Conference Paper

    Constant Time and Space Updates for the Sigma-Tau Problem

    Sawada and Williams in [SODA 2018] and [ACM Trans. Alg. 2020] gave algorithms for constructing Hamiltonian paths and cycles in the Sigma-Tau graph, thereby solving a problem of Nijenhuis and Wilf that had been...

    Zsuzsanna Lipták, Francesco Masillo in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Algorithms and Hardness for the Longest Common Subsequence of Three Strings and Related Problems

    A string is called a square (resp. cube) if it is in the form of \(XX=X^2\) (resp. ...

    Lusheng Wang, Binhai Zhu in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Using General Least Deviations Method for Forecasting of Crops Yields

    Nowadays much attention has been paid to the development of the software, which makes it possible to process and visualize images, and in particular, develop the mathematical models for monitoring and predicti...

    Tatiana Makarovskikh, Anatoly Panyukov in Mathematical Optimization Theory and Opera… (2023)

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    Chapter and Conference Paper

    Frequency-Constrained Substring Complexity

    We introduce the notion of frequency-constrained substring complexity. For any finite string, it counts the distinct substrings of the string per length and frequency class. For a string x of length n and a parti...

    Solon P. Pissis, Michael Shekelyan in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Towards Subderivative-Based Zeroing Neural Networks

    Zeroing Neural Networks (ZNN) are dynamic systems suitable for studying and solving time-varying problems. The advantage of this particular type of recurrent neural networks (RNNs) is their global and exponent...

    Predrag S. Stanimirović in Mathematical Optimization Theory and Opera… (2023)

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    Chapter and Conference Paper

    Longest Common Prefix Arrays for Succinct k-Spectra

    The k-spectrum of a string is the set of all distinct substrings of length k occurring in the string. K-spectra have many applications in bioinformatics including pseudoalignment and genome assembly. The Spectral...

    Jarno N. Alanko, Elena Biagi in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Online Optimization Problems with Functional Constraints Under Relative Lipschitz Continuity and Relative Strong Convexity Conditions

    In this work, we consider the problem of strongly convex online optimization with convex inequality constraints. A scheme with switching over productive and non-productive steps is proposed for these problems....

    Oleg Savchuk, Fedor Stonyakin in Mathematical Optimization Theory and Opera… (2023)

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    Chapter and Conference Paper

    Optimally Computing Compressed Indexing Arrays Based on the Compact Directed Acyclic Word Graph

    In this paper, we present the first study of the computational complexity of converting an automata-based text index structure, called the Compact Directed Acyclic Word Graph (CDAWG), of size e for a text T of le...

    Hiroki Arimura, Shunsuke Inenaga in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Implementing One Variant of the Successive Concessions Method for the Multi-objective Optimization Problem

    We propose one variant of the successive concessions method for solving a multi-objective optimization problem, which differs from the mentioned famous method by the approach of determining concessions. The co...

    Igor Zabotin, Oksana Shulgina in Mathematical Optimization Theory and Opera… (2023)

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    Chapter and Conference Paper

    Approximate Cartesian Tree Matching: An Approach Using Swaps

    Cartesian tree pattern matching consists of finding all the factors of a text that have the same Cartesian tree than a given pattern. There already exist theoretical and practical solutions for the exact case....

    Bastien Auvray, Julien David, Richard Groult in String Processing and Information Retrieval (2023)

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    Chapter and Conference Paper

    Estimation of Both Unknown Parameters in Gaussian Multi-armed Bandit for Batch Processing Scenario

    We consider a Gaussian multi-armed bandit problem with both reward means and variances unknown. A Gaussian multi-armed bandit is considered because in case of batch processing the cumulative rewards for the ba...

    Sergey Garbar in Mathematical Optimization Theory and Operations Research: Recent Trends (2023)

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    Chapter and Conference Paper

    Approximation Algorithms for Graph Cluster Editing Problems with Cluster Size at Most 3 and 4

    In clustering problems, one has to partition a given set of objects into pairwise disjoint subsets (clusters) taking into account only similarity of objects. In the graph cluster editing problem similarity rel...

    Victor Il’ev, Svetlana Il’eva in Mathematical Optimization Theory and Opera… (2023)

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