The multivariate eigenvalues of symmetric tensors
From MaRDI portal
Publication:6641760
DOI10.1137/23M1614808MaRDI QIDQ6641760
Anwa Zhou, Yangyang Ni, Jinyan Fan
Publication date: 21 November 2024
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
symmetric tensorsfinite convergencesemidefinite relaxationspolynomial optimizationmultivariate eigenvalues
Semidefinite programming (90C22) Eigenvalues, singular values, and eigenvectors (15A18) Multilinear algebra, tensor calculus (15A69) Polynomial optimization (90C23)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Optimality conditions and finite convergence of Lasserre's hierarchy
- An alternating variable method for the maximal correlation problem
- The \(\mathcal A\)-truncated \(K\)-moment problem
- Towards the global solution of the maximal correlation problem
- Linear optimization with cones of moments and nonnegative polynomials
- Relations among \(m\) sets of measures
- Representations of positive polynomials on noncompact semialgebraic sets via KKT ideals
- D-eigenvalues of diffusion kurtosis tensors
- Spectral analysis of coupled linear complementarity problems
- Semidefinite characterization and computation of zero-dimensional real radical ideals
- Determinantal rings
- Multivariate polynomial minimization and its application in signal processing
- Tensor eigenvalue complementarity problems
- Graph regularized multiset canonical correlations with applications to joint feature extraction
- Tensor maximal correlation problems
- A semidefinite approach for truncated \(K\)-moment problems
- An exact Jacobian SDP relaxation for polynomial optimization
- Global optimality of the successive Maxbet algorithm
- Tight relaxations for polynomial optimization and Lagrange multiplier expressions
- An adaptive gradient method for computing generalized tensor eigenpairs
- Certifying convergence of Lasserre's hierarchy via flat truncation
- Eigenvalues of a real supersymmetric tensor
- Global optimization with polynomials and the problem of moments
- Polynomial optimization with real varieties
- Positive semidefinite generalized diffusion tensor imaging via quadratic semidefinite programming
- Riemannian Newton Method for the Multivariate Eigenvalue Problem
- GloptiPoly 3: moments, optimization and semidefinite programming
- On a Multivariate Eigenvalue Problem, Part I: Algebraic Theory and a Power Method
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
- Detecting Global Optimality and Extracting Solutions in GloptiPoly
- An Eigenvalue Method for Testing Positive Definiteness of a Multivariate Form
- Algebraic Degree of Polynomial Optimization
- All Real Eigenvalues of Symmetric Tensors
- Most Tensor Problems Are NP-Hard
- Generalized Tensor Eigenvalue Problems
- Higher Order Positive Semidefinite Diffusion Tensor Imaging
This page was built for publication: The multivariate eigenvalues of symmetric tensors
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6641760)