Get Free Shipping on orders over $79
Probability Theory of Classical Euclidean Optimization Problems : Lecture Notes in Mathematics - Joseph E. Yukich

Probability Theory of Classical Euclidean Optimization Problems

By: Joseph E. Yukich

Paperback | 18 March 1998 | Edition Number 7000

At a Glance

Paperback


$59.99

or 4 interest-free payments of $15.00 with

 or 

Ships in 5 to 7 business days

This monograph describes the stochastic behavior of the solutions to the classic problems of Euclidean combinatorial optimization, computational geometry, and operations research. Using two-sided additivity and isoperimetry, it formulates general methods describing the total edge length of random graphs in Euclidean space. The approach furnishes strong laws of large numbers, large deviations, and rates of convergence for solutions to the random versions of various classic optimization problems, including the traveling salesman, minimal spanning tree, minimal matching, minimal triangulation, two-factor, and k-median problems. Essentially self-contained, this monograph may be read by probabilists, combinatorialists, graph theorists, and theoretical computer scientists.

More in Probability & Statistics

The Maths Book : Big Ideas Simply Explained - DK

RRP $42.99

$33.99

21%
OFF
Speed : How it Explains the World - Vaclav Smil

RRP $36.99

$29.75

20%
OFF
Rationality : What It Is, Why It Seems Scarce, Why It Matters - Steven Pinker
Implementing R for Statistics - Christophe  Chesneau

RRP $180.95

$165.75

The Art of Statistics : Learning from Data - David Spiegelhalter

RRP $26.99

$22.99

15%
OFF
Sampling Theory and Practice - Casey Murphy
Practical Statistics - Nancy Maxwell

$454.75

Foundations of Statistics - Everett Davies
Introduction to Medical Statistics : 4th edition - Martin Bland

RRP $70.95

$62.75

12%
OFF
Research Methods and Statistics in Psychology : 8th Edition - Hugh  Coolican
On the Edge : The Art of Risking Everything - Nate Silver

RRP $36.99

$29.75

20%
OFF
Statistics without Tears : An Introduction for Non-Mathematicians - Derek Rowntree