< Master index Index for examples >

Index for examples

Matlab files in this directory:

 PCA_stochasticExample of stochastic gradient algorithm in Manopt on a PCA problem.
 dominant_invariant_subspaceReturns an orthonormal basis of the dominant invariant p-subspace of A.
 dominant_invariant_subspace_complexReturns a unitary basis of the dominant invariant p-subspace of A.
 elliptope_SDPSolver for semidefinite programs (SDP's) with unit diagonal constraints.
 elliptope_SDP_complexSolver for complex semidefinite programs (SDP's) with unit diagonal.
 essential_svdSample solution of an optimization problem on the essential manifold.
 generalized_eigenvalue_computationReturns orthonormal basis of the dominant invariant p-subspace of B^-1 A.
 generalized_procrustesRotationally align clouds of points (generalized Procrustes problem)
 low_rank_dist_completionPerform low-rank distance matrix completion w/ automatic rank detection.
 low_rank_matrix_completionGiven partial observation of a low rank matrix, attempts to complete it.
 low_rank_tensor_completionGiven partial observation of a low rank tensor, attempts to complete it.
 maxcutAlgorithm to (try to) compute a maximum cut of a graph, via SDP approach.
 nonlinear_eigenspaceExample of nonlinear eigenvalue problem: total energy minimization.
 packing_on_the_sphereReturn a set of points spread out on the sphere.
 positive_definite_karcher_meanComputes a Karcher mean of a collection of positive definite matrices.
 radio_interferometric_calibrationReturns the gain matrices of N stations with K receivers.
 robust_pcaComputes a robust version of PCA (principal component analysis) on data.
 shapefit_smoothedShapeFit formulation for sensor network localization from pair directions
 sparse_pcaSparse principal component analysis based on optimization over Stiefel.
 thomson_problemSimple attempt at computing n well distributed points on a sphere in R^d.
 truncated_svdReturns an SVD decomposition of A truncated to rank p.

Dependency Graph


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