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Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) is an important technique to solve PWM problems, which control the output voltage of an inverter via selecting appropriate switching angles. Based on the Rational Univariate…

Numerical Analysis · Mathematics 2015-12-07 Bao-Xin Shang , Shu-Gong Zhang , Na Lei , Jing-Yi Chen

In a distributed storage system based on erasure coding, an important problem is the \emph{repair problem}: If a node storing a coded piece fails, in order to maintain the same level of reliability, we need to create a new encoded piece and…

Information Theory · Computer Science 2016-11-17 Yunnan Wu

A popular numerical method to compute SOS (sum of squares of polynomials) decompositions for polynomials is to transform the problem into semi-definite programming (SDP) problems and then solve them by SDP solvers. In this paper, we focus…

Optimization and Control · Mathematics 2015-01-05 Liyun Dai , Bican Xia

We consider the problem of computing univariate polynomial matrices over a field that represent minimal solution bases for a general interpolation problem, some forms of which are the vector M-Pad\'e approximation problem in [Van Barel and…

Symbolic Computation · Computer Science 2016-06-14 Claude-Pierre Jeannerod , Vincent Neiger , Éric Schost , Gilles Villard

Constructing Reed-Solomon (RS) codes that can correct insertion and deletion (ins-del) errors has been the focus of several recent studies. However, efficient decoding algorithms for such codes have received less attention and remain a…

Information Theory · Computer Science 2025-07-02 Shubhransh Singhvi

The interpolation step in the Guruswami-Sudan algorithm is a bivariate interpolation problem with multiplicities commonly solved in the literature using either structured linear algebra or basis reduction of polynomial lattices. This…

Information Theory · Computer Science 2015-02-16 Muhammad F. I. Chowdhury , Claude-Pierre Jeannerod , Vincent Neiger , Eric Schost , Gilles Villard

We present a simple syndrome-based fast Chase decoding algorithm for Reed--Solomon (RS) codes. Such an algorithm was initially presented by Wu (IEEE Trans. IT, Jan. 2012), building on properties of the Berlekamp--Massey (BM) algorithm. Wu…

Information Theory · Computer Science 2022-01-04 Yaron Shany , Amit Berman

This paper examines the Balanced Submodular Flow Problem, that is the problem of finding a feasible submodular flow minimizing the difference between the flow values along the edges. A min-max formula is given to the problem and an…

Optimization and Control · Mathematics 2023-09-07 Alpár Jüttner , Eszter Szabó

In this paper, we study convolutional codes with a specific cyclic structure. By definition, these codes are left ideals in a certain skew polynomial ring. Using that the skew polynomial ring is isomorphic to a matrix ring we can describe…

Information Theory · Computer Science 2007-08-13 Heide Gluesing-Luerssen , Fai-Lung Tsang

We consider the problem of solving the Min-Sum Submodular Cover problem using local search. The Min-Sum Submodular Cover problem generalizes the NP-complete Min-Sum Set Cover problem, replacing the input set cover instance with a monotone…

Data Structures and Algorithms · Computer Science 2023-12-05 Lisa Hellerstein , Thomas Lidbetter , R. Teal Witter

Semidefinite programming (SDP) problems are challenging to solve because of their high dimensionality. However, solving sparse SDP problems with small tree-width are known to be relatively easier because: (1) they can be decomposed into…

Optimization and Control · Mathematics 2024-11-01 Tianyun Tang , Kim-Chuan Toh

This paper concerns solving the sparse deconvolution and demixing problem using $\ell_{1,2}$-minimization. We show that under a certain structured random model, robust and stable recovery is possible. The results extend results of Ling and…

Statistics Theory · Mathematics 2017-05-11 Axel Flinth

Codes for rank modulation have been recently proposed as a means of protecting flash memory devices from errors. We study basic coding theoretic problems for such codes, representing them as subsets of the set of permutations of $n$…

Information Theory · Computer Science 2010-12-10 Alexander Barg , Arya Mazumdar

Lexicographically minimal string rotation is a fundamental problem in string processing that has recently garnered significant attention in quantum computing. Near-optimal quantum algorithms have been proposed for solving this problem,…

Quantum Physics · Physics 2025-02-21 Qisheng Wang

In the paper, we develop a composite version of Mirror Prox algorithm for solving convex-concave saddle point problems and monotone variational inequalities of special structure, allowing to cover saddle point/variational analogies of what…

Optimization and Control · Mathematics 2014-05-23 Niao He , Anatoli Juditsky , Arkadi Nemirovski

Using linear functional-based duality of modules, we generalize the syndrome decoding algorithm of linear codes over finite fields to those over finite commutative rings. Moreover, If the ring is local the algorithm is simplified by…

Information Theory · Computer Science 2014-10-14 Asmae Drhima , Mustapha Najmeddine

We study Reed--Solomon codes over arbitrary fields, inspired by several recent papers dealing with Gabidulin codes over fields of characteristic zero. Over the field of rational numbers, we derive bounds on the coefficient growth during…

Information Theory · Computer Science 2019-07-01 Carmen Sippel , Cornelia Ott , Sven Puchinger , Martin Bossert

We construct $s$-interleaved linearized Reed--Solomon (ILRS) codes and variants and propose efficient decoding schemes that can correct errors beyond the unique decoding radius in the sum-rank metric. The proposed interpolation-based scheme…

Information Theory · Computer Science 2025-09-10 Hannes Bartz , Sven Puchinger

Based on unique decoding of the polynomial residue code with non-pairwise coprime moduli, a polynomial with degree less than that of the least common multiple (lcm) of all the moduli can be accurately reconstructed when the number of…

Information Theory · Computer Science 2017-03-24 Li Xiao , Xiang-Gen Xia

Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of convex functions, and can be minimized in strongly polynomial…

Machine Learning · Computer Science 2015-03-17 Peter Stobbe , Andreas Krause
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