Eigenvalues, inequalities, and ergodic theory
A problem of broad interest the estimation of the spectral gap for matrices or differential operators (Markov chains or diffusions) is covered in this book. The area has a wide range of applications, and provides a tool to describe the phase transitions and the effectiveness of random algorithms. In...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2005. |
| Collection: | Probability and Its Applications
|
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, Inequalities, and Ergodic Theory, Texte imprimé, 9781848007857 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, Inequalities, and Ergodic Theory, Texte imprimé, 9781848007857 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, Inequalities, and Ergodic Theory, Texte imprimé, 9781848007857 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 |