World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.
Random Sequential Packing of Cubes cover

In this volume very simplified models are introduced to understand the random sequential packing models mathematically. The 1-dimensional model is sometimes called the Parking Problem, which is known by the pioneering works by Flory (1939), Renyi (1958), Dvoretzky and Robbins (1962). To obtain a 1-dimensional packing density, distribution of the minimum of gaps, etc., the classical analysis has to be studied. The packing density of the general multi-dimensional random sequential packing of cubes (hypercubes) makes a well-known unsolved problem. The experimental analysis is usually applied to the problem. This book introduces simplified multi-dimensional models of cubes and torus, which keep the character of the original general model, and introduces a combinatorial analysis for combinatorial modelings.

Sample Chapter(s)
Chapter 1: Introduction (138 KB)


Contents:
  • The Flory Model
  • Random Interval Packing
  • On the Minimum of Gaps Generated by 1-Dimensional Random Packing
  • Integral Equation Method for the 1-Dimensional Random Packing
  • Random Sequential Bisection and Its Associated Binary Tree
  • The Unified Kakutani Rényi Model
  • Parking Cars with Spin But No Length
  • Random Sequential Packing Simulations
  • Discrete Cube Packings in the Cube
  • Discrete Cube Packings in the Torus
  • Continuous Random Cube Packings in Cube and Torus
  • Appendix: Combinatorial Enumeration

Readership: Researchers in probability and statistics, combinatorics and graph theory, analysis & differential equations, coding theory and cryptography.