𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Introduction to graph theory

✍ Scribed by Fraughnaugh, Kathryn L.

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
19 KB
Volume
30
Category
Article
ISSN
0028-3045

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

An introduction to algorithmic informati
An introduction to algorithmic information theory
✍ George Markowsky πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 131 KB πŸ‘ 1 views

he goal of this paper is to provide a simple introduction to Algorithmic Information Theory (AIT) that will highlight some of the main ideas without presenting too many details. More technical treatments of these ideas can be found in References [1], [2], [3] and [4], which are listed at the end of

Trust Theory || Introduction
Trust Theory || Introduction
✍ Castelfranchi, Cristiano; Falcone, Rino πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley & Sons, Ltd 🌐 English βš– 205 KB πŸ‘ 1 views
Algorithmic theory of random graphs
Algorithmic theory of random graphs
✍ Alan Frieze; Colin McDiarmid πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 318 KB πŸ‘ 1 views

The theory of random graphs has been mainly concerned with structural w x properties, in particular the most likely values of various graph invariantsᎏsee Bollobas 21 . There has been increasing interest in using random graphs as models for the average case analysis of graph algorithms. In this pap

Classification of polymer structures by
Classification of polymer structures by graph theory
✍ S. M. Patra; S. Vishveshwara πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 189 KB πŸ‘ 1 views

Compact polymers such as proteins obtain their unique conformation by appropriate nonbonded interactions among their monomer residues. Innumerable nonnative compact conformations are also possible, and it is essential to distinguish the native from the nonnative conformations. Toward this goal we ha