Index for examples

Matlab files in this directory:

PCA_stochastic	Example of stochastic gradient algorithm in Manopt on a PCA problem.
dominant_invariant_subspace	Returns an orthonormal basis of the dominant invariant p-subspace of A.
dominant_invariant_subspace_complex	Returns a unitary basis of the dominant invariant p-subspace of A.
doubly_stochastic_denoising	Find a doubly stochastic matrix closest to a given matrix, in Frobenius norm.
elliptope_SDP	Solver for semidefinite programs (SDP's) with unit diagonal constraints.
elliptope_SDP_complex	Solver for complex semidefinite programs (SDP's) with unit diagonal.
essential_svd	Sample solution of an optimization problem on the essential manifold.
generalized_eigenvalue_computation	Returns orthonormal basis of the dominant invariant p-subspace of B^-1 A.
generalized_procrustes	Rotationally align clouds of points (generalized Procrustes problem)
low_rank_dist_completion	Perform low-rank distance matrix completion w/ automatic rank detection.
low_rank_matrix_completion	Given partial observation of a low rank matrix, attempts to complete it.
low_rank_tensor_completion	Given partial observation of a low rank tensor, attempts to complete it.
low_rank_tensor_completion_TT	Example file for the manifold encoded in fixedTTrankfactory.
low_rank_tensor_completion_embedded	Given partial observation of a low rank tensor (possibly including noise),
maxcut	Algorithm to (try to) compute a maximum cut of a graph, via SDP approach.
nonlinear_eigenspace	Example of nonlinear eigenvalue problem: total energy minimization.
packing_on_the_sphere	Return a set of points spread out on the sphere.
positive_definite_intrinsic_mean	Computes an intrinsic mean of a collection of positive definite matrices.
positive_definite_karcher_mean
radio_interferometric_calibration	Returns the gain matrices of N stations with K receivers.
robust_pca	Computes a robust version of PCA (principal component analysis) on data.
run_all_examples
shapefit_smoothed	ShapeFit formulation for sensor network localization from pair directions
sparse_pca	Sparse principal component analysis based on optimization over Stiefel.
thomson_problem	Simple attempt at computing n well distributed points on a sphere in R^d.
truncated_svd	Returns an SVD decomposition of A truncated to rank p.
using_counters	Manopt example on how to use counters during optimization. Typical uses,
using_gpu	Manopt example on how to use GPU with manifold factories that allow it.