1. Der UEbergang zur Informationsgesellschaft als sozio-oekonomischer Prozess.- 1.1 Das Ende der Industriegesellschaft.- 1.2 Die Informationsgesellschaft und der Wandel der Arbeit.- 1.3 Der charakteristische Arbeitsplatz der Informationsgesellschaft.- 1.4 Resumee.- 2. Raumliche Strukturen in der Informationsgesellschaft.- 2.1 Anthropologische Voraussetzungen und Bedurfnisse.- 2.2 Global Cities/Global Village?.- 2.3 Das "ortlose Buro", die vergessene Kommunikation versus "Mediatektur".- 2.4 Resumee.- 3. Der Industriebau - ein Gebaudetyp im Wandel.- 3.1 Begriff, Arten und Funktion der Gebaudetypologie.- 3.2 Die funktionale oder Zwecktypologie.- 3.3 Corporate Process Architecture - von der Fabrik zum Unternehmensgebaude.- 3.4 Industriebau und Konversion.- 3.5 Resumee.- 4. Der Perspektivenwechsel bei der Betrachtung von Gebauden in der Informationsgesellschaft.- 4.1 Die wirtschaftliche Aufwertung der Gebaude.- 4.2 Corporate Real Estate Management und Facility Management - rein quantitative Instrumente?.- 4.3 Resumee.- 5. Informationstechnologie in der Planung und Bewirtschaftung von Gebauden.- 5.1 Planung unter den Bedingungen der Ungewissheit - die Beschleunigung der Prozesse.- 5.2 "Digitales" Bauen.- 5.3 Informationstechnologie und OEkologie.- 5.4 Resumee.- 6. Von der isolierten zur holistischen Gebaudekonzeption.- 6.1 Die Synthese von Informationstechnologie und Humanitat in Gebauden.- 6.2 Integrales Infrastrukturmanagement.- 6.3 Kompetenz im Wandel: das kunftige Profil des Planers und Architekten.- 6.4 Resumee.- 7. Ergebnis: Zur Programmatik der Corporate Process Architecture.

The present volume develops the theory of integration in Banach spaces, martingales and UMD spaces, and culminates in a treatment of the Hilbert transform, Littlewood-Paley theory and the vector-valued Mihlin multiplier theorem. Over the past fifteen years, motivated by regularity problems in evolution equations, there has been tremendous progress in the analysis of Banach space-valued functions and processes. The contents of this extensive and powerful toolbox have been mostly scattered around in research papers and lecture notes. Collecting this diverse body of material into a unified and accessible presentation fills a gap in the existing literature. The principal audience that we have in mind consists of researchers who need and use Analysis in Banach Spaces as a tool for studying problems in partial differential equations, harmonic analysis, and stochastic analysis. Self-contained and offering complete proofs, this work is accessible to graduate students and researchers with a background in functional analysis or related areas.

This second volume of Analysis in Banach Spaces, Probabilistic Methods and Operator Theory, is the successor to Volume I, Martingales and Littlewood-Paley Theory. It presents a thorough study of the fundamental randomisation techniques and the operator-theoretic aspects of the theory. The first two chapters address the relevant classical background from the theory of Banach spaces, including notions like type, cotype, K-convexity and contraction principles. In turn, the next two chapters provide a detailed treatment of the theory of R-boundedness and Banach space valued square functions developed over the last 20 years. In the last chapter, this content is applied to develop the holomorphic functional calculus of sectorial and bi-sectorial operators in Banach spaces. Given its breadth of coverage, this book will be an invaluable reference to graduate students and researchers interested in functional analysis, harmonic analysis, spectral theory, stochastic analysis, and the operator-theoretic approach to deterministic and stochastic evolution equations.

This second volume of Analysis in Banach Spaces, Probabilistic Methods and Operator Theory, is the successor to Volume I, Martingales and Littlewood-Paley Theory. It presents a thorough study of the fundamental randomisation techniques and the operator-theoretic aspects of the theory. The first two chapters address the relevant classical background from the theory of Banach spaces, including notions like type, cotype, K-convexity and contraction principles. In turn, the next two chapters provide a detailed treatment of the theory of R-boundedness and Banach space valued square functions developed over the last 20 years. In the last chapter, this content is applied to develop the holomorphic functional calculus of sectorial and bi-sectorial operators in Banach spaces. Given its breadth of coverage, this book will be an invaluable reference to graduate students and researchers interested in functional analysis, harmonic analysis, spectral theory, stochastic analysis, and the operator-theoretic approach to deterministic and stochastic evolution equations.

This book consists of five introductory contributions by leading mathematicians on the functional analytic treatment of evolutions equations. In particular the contributions deal with Markov semigroups, maximal L DEGREESp-regularity, optimal control problems for boundary and point control systems, parabolic moving boundary problems and parabolic nonautonomous evolution equations. The book is addressed to PhD students, young researchers and mathematicians doing research in one of the above topics.

The present volume develops the theory of integration in Banach spaces, martingales and UMD spaces, and culminates in a treatment of the Hilbert transform, Littlewood-Paley theory and the vector-valued Mihlin multiplier theorem. Over the past fifteen years, motivated by regularity problems in evolution equations, there has been tremendous progress in the analysis of Banach space-valued functions and processes. The contents of this extensive and powerful toolbox have been mostly scattered around in research papers and lecture notes. Collecting this diverse body of material into a unified and accessible presentation fills a gap in the existing literature. The principal audience that we have in mind consists of researchers who need and use Analysis in Banach Spaces as a tool for studying problems in partial differential equations, harmonic analysis, and stochastic analysis. Self-contained and offering complete proofs, this work is accessible to graduate students and researchers with a background in functional analysis or related areas.