☰

Orthogonal Polynomials and Random Matrices: A Riemann-Hilbert Approach (Courant Lecture Notes)

R 1,634

or 4 x payments of R408.50 with Payflex

Payflex

Availability: Currently in Stock

Delivery: 10-20 working days

Condition: USED (All books are in used condition)

Condition - Very Good
The item shows wear from consistent use, but it remains in good condition and functions properly. Item may arrive with damaged packaging or be repackaged. It may be marked, have identifying markings on it, or have minor cosmetic damage. It may also be missing some parts/accessories or bundled items.

Orthogonal Polynomials and Random Matrices: A Riemann-Hilbert Approach (Courant Lecture Notes)
- Used Book in Good Condition
This volume expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, orthogonal polynomials, and random matrix theory. The goal of the course was to prove universality for a variety of statistical quantities arising in the theory of random matrix models. The central question was the following: Why do very general ensembles of random $n {\times} n$ matrices exhibit universal behavior as $n {\rightarrow} {\infty}$? The main ingredient in the proof is the steepest descent method for oscillatory Riemann-Hilbert problems.
Country USA
Brand Brand: American Mathematical Society
Manufacturer American Mathematical Society
Binding Paperback
ItemPartNumber Illustrations
UnitCount 1
EANs 9780821826959
ReleaseDate 0000-00-00

You might also like...

Random Matrix Theory: Invariant Ensembles and Universality (Courant Lecture Notes)

Random Matrix Theory: Invariant Ensembles and Universality (Courant Lecture Notes)

An Introduction to Random Matrices (Cambridge Studies in Advanced Mathematics)

An Introduction to Random Matrices (Cambridge Studies in Advanced Mathematics)

Topics in Random Matrix Theory (Graduate Studies in Mathematics)

Topics in Random Matrix Theory (Graduate Studies in Mathematics)

Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Riemannian Manifolds: An Introduction to Curvature (Graduate Texts in Mathematics)

Riemannian Manifolds: An Introduction to Curvature (Graduate Texts in Mathematics)

An Introduction to Orthogonal Polynomials (Dover Books on Mathematics)

An Introduction to Orthogonal Polynomials (Dover Books on Mathematics)

The Surprising Mathematics of Longest Increasing Subsequences (Institute of Mathematical Statistics Textbooks)

The Surprising Mathematics of Longest Increasing Subsequences (Institute of Mathematical Statistics Textbooks)

Large Deviations Techniques and Applications (Stochastic Modelling and Applied Probability)

Large Deviations Techniques and Applications (Stochastic Modelling and Applied Probability)

Galois Theory: Lectures Delivered at the University of Notre Dame by Emil Artin (Notre Dame Mathematical Lectures, Number 2)

Galois Theory: Lectures Delivered at the University of Notre Dame by Emil Artin (Notre Dame Mathematical Lectures, Number 2)

Concentration Inequalities: A Nonasymptotic Theory of Independence

Concentration Inequalities: A Nonasymptotic Theory of Independence