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Hamiltonian and Gradient Flows, Algorithms and Control
Edited by: Anthony Bloch, University of Michigan, Ann Arbor, MI
A co-publication of the AMS and Fields Institute.
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Fields Institute Communications
1994; 155 pp; hardcover
Volume: 3
ISBN-10: 0-8218-0255-0
ISBN-13: 978-0-8218-0255-7
List Price: US$87 Member Price: US$69.60
Order Code: FIC/3

This volume brings together ideas from several areas of mathematics that have traditionally been rather disparate. The conference at The Fields Institute which gave rise to these proceedings was intended to encourage such connections. One of the key interactions occurs between dynamical systems and algorithms, one example being the by now classic observation that the QR algorithm for diagonalizing matrices may be viewed as the time-1 map of the Toda lattice flow. Another link occurs with interior point methods for linear programming, where certain smooth flows associated with such programming problems have proved valuable in the analysis of the corresponding discrete problems. More recently, other smooth flows have been introduced which carry out discrete computations (such as sorting sets of numbers) and which solve certain least squares problems. Another interesting facet of the flows described here is that they often have a dual Hamiltonian and gradient structure, both of which turn out to be useful in analyzing and designing algorithms for solving optimization problems. This volume explores many of these interactions, as well as related work in optimal control and partial differential equations.

Titles in this series are co-published with the Fields Institute for Research in Mathematical Sciences (Toronto, Ontario, Canada).

Mathematicians and engineers interested in dynamics, optimization, control theory, Hamiltonian and integrable systems, numerical analysis, and linear programming.