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Branch-and-Bound Applications in Combinatorial Data Analysis

Michael J. Brusco Stephanie Stahl

Resumen/Descripción – provisto por la editorial

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Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2005 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-0-387-25037-3

ISBN electrónico

978-0-387-28810-9

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer Science+Business Media, Inc. 2005

Cobertura temática

Tabla de contenidos

Introduction

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Pp. 1-12

An Introduction to Branch-and-Bound Methods for Partitioning

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part I - Cluster Analysis—Partitioning | Pp. 15-24

Minimum-Diameter Partitioning

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part I - Cluster Analysis—Partitioning | Pp. 25-41

Minimum Within-Cluster Sums of Dissimilarities Partitioning

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part I - Cluster Analysis—Partitioning | Pp. 43-58

Minimum Within-Cluster Sums of Squares Partitioning

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part I - Cluster Analysis—Partitioning | Pp. 59-76

Multiobjective Partitioning

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part I - Cluster Analysis—Partitioning | Pp. 77-87

Introduction to the Branch-and-Bound Paradigm for Seriation

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part II - Seriation | Pp. 91-95

Seriation—Maximization of a Dominance Index

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part II - Seriation | Pp. 97-112

Seriation—Maximization of Gradient Indices

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part II - Seriation | Pp. 113-128

Seriation—Unidimensional Scaling

Michael J. Brusco; Stephanie Stahl

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

Part II - Seriation | Pp. 129-146