A nonlinearly preconditioned conjugate gradient algorithm for rank‐<i>R</i> canonical tensor approximation
A nonlinearly preconditioned conjugate gradient algorithm for rank‐<i>R</i> canonical tensor approximation
Summary Alternating least squares (ALS) is often considered the workhorse algorithm for computing the rank‐ R canonical tensor approximation, but for certain problems, its convergence can be very slow. The nonlinear conjugate gradient (NCG) method was recently proposed as an alternative to ALS, but the results indicated that NCG is …