Properties and methods for finding the best rank-one approximation to higher-order tensors

Keyphrases

• Rank-one Approximation 100%
• Higher-order Tensor 100%
• Polynomial Optimization Problem 100%
• Numerical Results 50%
• Engineering Application 50%
• Optimization Problem 50%
• Numerical Methods 50%
• Nonconvex 50%
• Global Solution 50%
• Lagrange Duality 50%
• Homogeneous Polynomials 50%
• Symmetric Tensor 50%
• Statistical Applications 50%
• Nonconvex Penalty 50%
• Duality Gap 50%
• Nonconvex Problem 50%
• Proximal Augmented Lagrangian 50%
• Matrix Optimization 50%
• Least Eigenvalue 50%
• Truncated nuclear Norm 50%
• Nuclear Norm 50%
• DC Function 50%
• Quadratic Matrix Programming 50%
• Quadratic Matrix 50%
• Eigenvalue Method 50%

Mathematics

• Tensor 100%
• Matrix 75%
• Polynomial Optimization 50%
• Lagrangian 25%
• Duality Gap 25%
• Applied Statistics 25%
• Lagrangian Dual Problem 25%
• Global Solution 25%
• Nonconvex Problem 25%
• Approximates 25%
• Eigenvalue Method 25%
• Mathematical Method 25%