Inequalities: Theory of Majorization and Its Applications
This book’s first edition has been widely cited by researchers in diverse fields. The following are excerpts from reviews. “Inequalities: Theory of Majorization and its Applications” merits strong praise. It is innovative, coherent, well written and, most importantly, a pleasure to read. … This work...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2011.
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Έκδοση: | Second. |
Σειρά: | Springer Series in Statistics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Doubly Stochastic Matrices
- Schur-Convex Functions
- Equivalent Conditions for Majorization
- Preservation and Generation of Majorization
- Rearrangements and Majorization
- Combinatorial Analysis
- Geometric Inequalities
- Matrix Theory
- Numerical Analysis
- Stochastic Majorizations
- Probabilistic, Statistical, and Other Applications
- Additional Statistical Applications
- Orderings Extending Majorization
- Multivariate Majorization
- Convex Functions and Some Classical Inequalities
- Stochastic Ordering
- Total Positivity
- Matrix Factorizations, Compounds, Direct Products, and M-Matrices
- Extremal Representations of Matrix Functions.