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The tensor complementarity problem is a specially structured nonlinear complementarity problem, then it has its particular and nice properties other than ones of the classical nonlinear complementarity problem. In this paper, it is proved…

Optimization and Control · Mathematics 2022-02-09 Yisheng Song , Gaohang Yu

In this paper, we introduce set-valued tensor complementarity problem where the elements of the involved tensors are defined based on a set-valued mapping. We study several properties of the solution set under the framework of set-valued…

Optimization and Control · Mathematics 2024-01-02 R. Deb , A. K. Das

In this paper, we introduce semi-infinite tensor complementarity problem to provide an approach for considering a more realistic situation of the problem. We prove the necessary and sufficient conditions for the existence of the solution…

Optimization and Control · Mathematics 2024-01-02 R. Deb , A. K. Das

In recent years several classes of structured matrices are extended to classes of tensors in the context of tensor complementarity problem. The tensor complementarity problem is a class of nonlinear complementarity problem where the…

Optimization and Control · Mathematics 2022-09-02 R. Deb , A. K. Das

In this paper, we study the nonemptiness, compactness, uniqueness, and finiteness of the solution set of a new type of nonlinear complementarity problem, namely the extended horizontal tensor complementarity problem (EHTCP). We introduce…

Optimization and Control · Mathematics 2025-04-11 Sonali Sharma , V. Vetrivel

In this article we introduce column adequate tensor in the context of tensor complementarity problem and consider some important properties. The tensor complementarity problem is a class of nonlinear complematarity problems with the…

Optimization and Control · Mathematics 2022-03-17 A. Dutta , R. Deb , A. K. Das

This paper investigates the convexity of the solution set of the linear complementarity problems over tensor spaces (TLCPs). We introduce the notion of a $T$-column sufficient tensor and study its properties and relationships with several…

Optimization and Control · Mathematics 2026-04-03 Sonali Sharma , V. Vetrivel , Jein-Shan Chen

Tensors are multidimensional analogs of matrices. In this paper, based on degree-theoretic ideas, we study homogeneous nonlinear complementarity problems induced by tensors. By specializing this to $Z$-tensors (which are tensors with…

Optimization and Control · Mathematics 2017-01-02 M. Seetharama Gowda , Ziyan Luo , Liqun Qi , Naihua Xiu

In this paper, one of our main purposes is to prove the boundedness of solution set of tensor complementarity problem with B tensor such that the specific bounds only depend on the structural properties of tensor. To achieve this purpose,…

Optimization and Control · Mathematics 2022-02-09 Yisheng Song , Wei Mei

This paper studies tensor eigenvalue complementarity problems. Basic properties of standard and complementarity tensor eigenvalues are discussed. We formulate tensor eigenvalue complementarity problems as constrained polynomial…

Optimization and Control · Mathematics 2017-05-30 Jinyan Fan , Jiawang Nie , Anwa Zhou

Our purpose is to investigate the local boundedness, the upper semicontinuity, and the stability of the solution map of tensor complementarity problems. To do this, we focus on the set of R$_0$--tensors and show that this set plays an…

Optimization and Control · Mathematics 2018-11-27 Vu Trung Hieu

This article explores a new type of nonlinear complementarity problem, namely the horizontal tensor complementarity problem (HTCP), which is a natural extension of the horizontal linear complementarity problem studied in [12]. We extend the…

Optimization and Control · Mathematics 2023-12-05 Punit Kumar Yadav , Sonali Sharma , K. Palpandi

We are interested in finding a solution to the tensor complementarity problem with a strong M-tensor, which we call the M-tensor complementarity problem. We propose a lower dimensional linear equation approach to solve that problem. At each…

Optimization and Control · Mathematics 2020-07-28 Dong-Hui Li , Cui-Dan Chen , Hong-Bo Guan

Properties of solutions of the tensor complementarity problem (TCP) for structured tensors have been investigated in recent literature. In this paper, we make further contributions on this problem. Specifically, we first derive solution…

Optimization and Control · Mathematics 2018-07-24 Wen Yu , Chen Ling , Hongjin He

This paper explores the finiteness of the solution set of the polynomial complementarity problem (PCP). To achieve this goal, we introduce two new classes of structured tensor tuples, namely the nondegenerate tensor tuple and the strong…

Optimization and Control · Mathematics 2025-07-29 Sonali Sharma , V. Vetrivel

Recently, many structured tensors are defined and their properties are discussed in the literature. In this paper, we introduce a new class of structured tensors, called exceptionally regular tensor, which is relevant to the tensor…

Optimization and Control · Mathematics 2015-08-27 Yong Wang , Zheng-Hai Huang , Xue-Li Bai

This paper is concerned with solving some structured multi-linear systems, which are called tensor absolute value equations. This kind of absolute value equations is closely related to tensor complementarity problems and is a generalization…

Numerical Analysis · Mathematics 2017-05-19 Shouqiang Du , Liping Zhang , Chiyu Chen , Liqun Qi

The main purpose of this note is to investigate some kinds of nonlinear complementarity problems (NCP). For the structured tensors, such as, symmetric positive definite tensors and copositive tensors, we derive the existence theorems on a…

Numerical Analysis · Mathematics 2015-01-13 Maolin Che , Liqun Qi , Yimin Wei

In this paper we discuss the existence of solutions to vectorial differential inclusions. We investigate sufficient conditions for existence, more flexible than those available in the literature, so that important applications can be fitted…

Analysis of PDEs · Mathematics 2011-04-01 Ana Cristina Barroso , Gisella Croce , Ana Ribeiro

Tensor completion is a natural higher-order generalization of matrix completion where the goal is to recover a low-rank tensor from sparse observations of its entries. Existing algorithms are either heuristic without provable guarantees,…

Data Structures and Algorithms · Computer Science 2023-07-14 Allen Liu , Ankur Moitra
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