Rolf Schneider – författare

The aim of this volume is to reinforce the interaction between the three main branches (abstract, convex and computational) of the theory of polytopes. The articles include contributions from many experts in the field, and their topics of concern are expositions of recent results and in-depth analyses of the development (past and future) of the subject. The subject matter of the book ranges from algorithms for assignment and transportation problems to the introduction of a geometric theory of polyhedra which need not be convex. With polytopes as the main topic of interest, there are articles on realizations, classifications, Eulerian posets, polyhedral subdivisions, generalized stress, the Brunn-Minkowski theory, asymptotic approximations and the computation of volumes and mixed volumes. This text should be of interest to researchers in applied and computational convexity, convex geometry and discrete geometry at the graduate and postgraduate levels.

At the heart of this monograph is the Brunn-Minkowski theory, which can be used to great effect in studying such ideas as volume and surface area and their generalizations. In particular, the notions of mixed volume and mixed area measure arise naturally and the fundamental inequalities that are satisfied by mixed volumes are considered here in detail. The author presents a comprehensive introduction to convex bodies, including full proofs for some deeper theorems. The book provides hints and pointers to connections with other fields and an exhaustive reference list. This second edition has been considerably expanded to reflect the rapid developments of the past two decades. It includes new chapters on valuations on convex bodies, on extensions like the Lp Brunn-Minkowski theory, and on affine constructions and inequalities. There are also many supplements and updates to the original chapters, and a substantial expansion of chapter notes and references.

This book provides the foundations for geometric applications of convex cones and presents selected examples from a wide range of topics, including polytope theory, stochastic geometry, and Brunn–Minkowski theory.

This book is the first comprehensive presentation of a central topic of stochastic geometry: random mosaics that are generated by Poisson processes of hyperplanes.

This book is the first comprehensive presentation of a central topic of stochastic geometry: random mosaics that are generated by Poisson processes of hyperplanes.

Stochastic geometry deals with models for random geometric structures. Its early beginnings are found in playful geometric probability questions, and it has vigorously developed during recent decades, when an increasing number of real-world applications in various sciences required solid mathematical foundations. Integral geometry studies geometric mean values with respect to invariant measures and is, therefore, the appropriate tool for the investigation of random geometric structures that exhibit invariance under translations or motions. Stochastic and Integral Geometry provides the mathematically oriented reader with a rigorous and detailed introduction to the basic stationary models used in stochastic geometry – random sets, point processes, random mosaics – and to the integral geometry that is needed for their investigation. The interplay between both disciplines is demonstrated by various fundamental results. A chapter on selected problems about geometric probabilities and an outlook to non-stationary models are included, and much additional information is given in the section notes.

Stochastic geometry deals with models for random geometric structures. Its early beginnings are found in playful geometric probability questions, and it has vigorously developed during recent decades, when an increasing number of real-world applications in various sciences required solid mathematical foundations. Integral geometry studies geometric mean values with respect to invariant measures and is, therefore, the appropriate tool for the investigation of random geometric structures that exhibit invariance under translations or motions. Stochastic and Integral Geometry provides the mathematically oriented reader with a rigorous and detailed introduction to the basic stationary models used in stochastic geometry – random sets, point processes, random mosaics – and to the integral geometry that is needed for their investigation. The interplay between both disciplines is demonstrated by various fundamental results. A chapter on selected problems about geometric probabilities and an outlook to non-stationary models are included, and much additional information is given in the section notes.

Vom 1. bis 8. Oktober 1989 fand im Kloster Neresheim das DMV-Seminar "Stochastische Geometrie" statt. Das Ziel dieser Veranstaltung war es, die Stochastische Geometrie, die sich in den letzten Jahren lebhaft entwickelt hat und die auch für Anwendungen in der Bildverarbeitung, der Stereologie und der Statistik von räumlichen Daten eine grundlegende Bedeutung bekommen hat, einem breiteren Kreis von Mathematikern nahe zu bringen. Dabei sollte auch das Zusammenwirken geometrischer Ideen und stochastischer Modelle exemplarisch aufgezeigt werden. Die Vorträge über Integralgeometrie (R. Schneider), zufällige Mengen und geometrische Punktprozesse (W. Weil), zufällige Mosaike und Ebenenprozesse (J. Mecke), Kenngrößen geometrischer Strukturen und Statistik von Punktprozessen, zufälligen Mengen und Mosaiken (D. Stoyan) wurden ergänzt durch speziellere Themen (zufällige Geraden, allgemeine Poissonprozesse, Boolesche Modelle, Punkt­ prozeßmodelle ), Computer-Simulationen und Fallbeispiele. Der folgende Text enthält die ausgearbeiteten Vorträge, wobei einige der Ergänzungen eingearbeitet wurden. Eine Einführung in die Theorie allgemeiner Poissonprozesse (J. Mecke) wurde als Anhang A aufgenommen. Es erschien uns nicht sinnvoll, die vollständigen Programme zu den Simulationen abzudrucken. Wir haben aber für einige Grundstrukturen der Stochastischen Geome­ trie Simulationsprogramme als Anhang B beigefügt. Bilder solcher Simulationen sowie Bilder von realen geometrischen Daten und zufälligen geometrischen Strukturen aus der Praxis sind in den Text aufgenommen worden. Die Programme stammen in der vorliegenden Form von Herrn Dipl.-Math. H. Fallert, der auch einen großen Teil der Simulationen durchgeführt hat. Die Reinschrift der Manuskripte wurde von Frau U. Petersvorgenommen. Beiden 6 möchten wir an dieser Stelle für ihre Mithilfe danken.