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We show that a class of semidefinite programs (SDP) admits a solution that is a positive semidefinite matrix of rank at most $r$, where $r$ is the rank of the matrix involved in the objective function of the SDP. The optimization problems…

Optimization and Control · Mathematics 2010-11-29 Guillaume Sagnol

We give classical and quantum algorithms for approximately solving second-order cone programs (SOCPs) based on the multiplicative weights (MW) update method. Our approach follows the MW framework previously applied to semidefinite programs…

Quantum Physics · Physics 2025-08-14 M. Isabel Franco Garrido , Alexander M. Dalzell , Sam McArdle

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

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

In this paper we prove the interior gradient and second derivative estimates for a class of fully nonlinear elliptic equations determined by symmetric functions of eigenvalues of the Ricci or Schouten tensors. As an application we prove the…

Differential Geometry · Mathematics 2007-05-23 Xu-Jia Wang

Many idealized problems in signal processing, machine learning and statistics can be reduced to the problem of finding the symmetric canonical decomposition of an underlying symmetric and orthogonally decomposable (SOD) tensor. Drawing…

Numerical Analysis · Computer Science 2017-05-31 Cun Mu , Daniel Hsu , Donald Goldfarb

Many isomorphism problems for tensors, groups, algebras, and polynomials were recently shown to be equivalent to one another under polynomial-time reductions, prompting the introduction of the complexity class TI (Grochow & Qiao, ITCS '21;…

Computational Complexity · Computer Science 2024-04-15 Joshua A. Grochow , Youming Qiao

Many theorems of mathematics have the form that for a certain problem, e.g. a differential equation or polynomial (in)equality, there exists a solution. The sequential version then states that for a sequence of problems, there is a sequence…

Logic · Mathematics 2024-03-21 Dag Normann , Sam Sanders

This paper presents a customized second-order cone programming (SOCP) solver tailored for embedded real-time optimization, which frequently arises in modern guidance and control (G&C) applications. The solver employs a practically efficient…

Optimization and Control · Mathematics 2026-03-12 Jae-Il Jang , Chang-Hun Lee

A complete classification of isotropic vector equations of the geometric type that possess higher symmetries is proposed. New examples of integrable multi-component systems of the geometric type and their auto-Backlund transformations are…

Exactly Solvable and Integrable Systems · Physics 2020-02-19 Anatoly Meshkov , Vladimir Sokolov

In this paper we investigate homogenization results for the principal eigenvalue problem associated to $1$-homogeneous, uniformly elliptic, second-order operators. Under rather general assumptions, we prove that the principal eigenpair…

Analysis of PDEs · Mathematics 2022-05-11 Gonzalo Dávila , Andrei Rodríguez-Paredes , Erwin Topp

We prove that multilinear (tensor) analogues of many efficiently computable problems in numerical linear algebra are NP-hard. Our list here includes: determining the feasibility of a system of bilinear equations, deciding whether a 3-tensor…

Computational Complexity · Computer Science 2013-07-02 Christopher Hillar , Lek-Heng Lim

We study a class of bilevel integer programs with second-order cone constraints at the upper level and a convex quadratic objective and linear constraints at the lower level. We develop disjunctive cuts to separate bilevel infeasible points…

Optimization and Control · Mathematics 2022-07-12 Elisabeth Gaar , Jon Lee , Ivana Ljubić , Markus Sinnl , Kübra Tanınmış

High-order tensor methods that employ local Taylor models of degree $p$ within adaptive regularization frameworks (AR$p$) have recently received significant attention, due to their optimal/improved global and local rates of convergence, for…

Optimization and Control · Mathematics 2025-12-23 Coralia Cartis , Raphael Hauser , Yang Liu , Karl Welzel , Wenqi Zhu

In this paper, we study a new generalization of the Lorentz cone, called the Monotone Extended Second Order Cone (MESOC). We investigate basic properties of MESOC including computation of its Lyapunov rank and proving its reducibility.…

Optimization and Control · Mathematics 2021-10-19 Y. Gao , S. Z. Németh , R. Sznajder

A type of adaptive finite element method for the eigenvalue problems is proposed based on the multilevel correction scheme. In this method, adaptive finite element method to solve eigenvalue problems involves solving associated boundary…

Numerical Analysis · Mathematics 2012-01-12 Hehu Xie

For every fixed class of regular languages, there is a natural hierarchy of increasingly more general problems: Firstly, the membership problem asks whether a given language belongs to the fixed class of languages. Secondly, the separation…

Formal Languages and Automata Theory · Computer Science 2021-10-01 Viktor Henriksson , Manfred Kufleitner

We consider nonlinear optimization problems with cardinality constraints. Based on a continuous reformulation we introduce second order necessary and sufficient optimality conditions. Under such a second order condition, we can guarantee…

Optimization and Control · Mathematics 2017-09-06 Max Bucher , Alexandra Schwartz

We consider parameterized variational inverse problems that are constrained by partial differential equations (PDEs). We seek to efficiently compute the solution of the inverse problem when auxiliary model parameters, which appear in the…

Numerical Analysis · Mathematics 2026-01-29 Joseph Hart , Alen Alexanderian , Bart van Bloemen Waanders
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