Description 
xiv, 333 pages : illustrations ; 27 cm 
Series 
Cambridge series in statistical and probabilistic mathematics 

London Mathematical Society student texts ; 44 

London Mathematical Society student texts ; 44


Cambridge series on statistical and probabilistic mathematics.

Contents 
1. Prelude  Quadratic Polynomials and Quadratic Forms  2. Basic Invariant Theory for Binary Forms  3. Groups and Transformations  4. Representations and Invariants  5. Transvectants  6. Symbolic Methods  7. Graphical Methods  8. Lie Groups and Moving Frames  9. Infinitesimal Methods  10. Multivariate Polynomials 
Summary 
There has been a resurgence of interest in classical invariant theory driven by several factors: new theoretical developments; a revival of computational methods coupled with powerful new computer algebra packages; and a wealth of new applications, ranging from number theory to geometry, physics to computer vision. This book provides readers with a selfcontained introduction to the classical theory as well as modern developments and applications. Aimed at advanced undergraduate and graduate students the book includes many exercises and historical details, complete proofs of the fundamental theorems, and a lively and provocative exposition 
Bibliography 
Includes bibliographical references and index 
Subject 
Bayesian statistical decision theory.


Invariants.

Author 
Hsu, John S. J., 1955

LC no. 
98033722 
ISBN 
0521552435 

0521558212 (paperback) 

0521594170 
