… eigenvector by a matrix orbit. We prove that an irreducible matrix is weakly stable if and only
… We extend this condition to reducible matrices. These criteria can be checked in polynomial …

… eigenvector by a matrix orbit. We prove that an irreducible matrix is weakly stable if and only
… We extend this condition to reducible matrices. These criteria can be checked in polynomial …

… of the algorithm for this class of Toeplitz matrices.… it is weakly stable for the general class
of powerseries. Moreover, it is robust in the sense that it is capable of recognizing problems as …

… A polynomial-time algorithm for recognizing weak embeddings … ω ∈ [2, 2.373) is the matrix
multiplication exponent and n is the … We introduce auxiliary data structures to handle stable …

… as the eigenvectors of the autocorrelation matrix defined below with the large eigenvalues
(… It is seen that the weak orthogonalization method is very stable compared with the other …

… The most over-represented stable weight matrices found for each element are shown in …
The factor which recognizes the weak cap signal is not yet known. Obvious candidates are RNA …

… are at most weakly dominant, are not evolutionarily stable, and … them to recognize each
other can be evolutionarily stable (and … Note that by writing mean expected payoffs into a matrix …

… matrix cell (see Figure 1 for an example). For an action a and a … whether a subset of AN is
externally stable. We can guess a … As it turned out, not only finding but also recognizing weak …

… to recognize and localize objects in images. To achieve this we employ state of the art image
descriptors and multiple stable … (b) MILSS Confusion matrix between the four categories for …

… for the weak saddle in a certain subclass of symmetric matrix games … Moreover, we prove
that recognizing weak saddles is coNP-… stable, ie, that all actions not in the saddle are weakly …