الصفحة 1
الصفحة 1
Trends and Issues in Global Tourism 2008
This book offers insight into important trends in the global travel and tourism industry and analyzes developments in the aviation and hospitality industry and destination management. The most recent developments in marketing and sales as well as in travel technology and business travel are of key importance for managing travel and tourism companies. The articles are based on presentations and panel discussions presented at the world ́s largest tourism convention, the ITB Convention Market Trends & Innovations.
Trends and Issues in Global Tourism 2007
The ITB Convention Market Trends & Innovations has developed into a center of excellence and a driving force for the global travel and tourism industry, generating a much needed information platform. This compilation unites the highlights of the convention in articles prepared by renowned professionals and scientists from the industry. Readers may benefit from this comprehensive vision of the developments which are shaping the str- ture of the global tourism industry today and in the future. This book is indisp- sable for tourism and travel professionals and well as for academics and students analyzing current global tourism and travel trends. The first chapter takes up the issue of mega trends in society and in the ec- omy and analyzes their effects on the tourism industry. In highly developed co- tries, overwhelming demographical change is underway. Schröder and Widmann demonstrate how tourism businesses should adapt to the aging customer base.
Automatic Differentiation : Applications, Theory, and Implementations
This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students will learn about advances in automatic differentiation techniques and strategies for the implementation of robust and powerful tools. Computational scientists and engineers will benefit from the discussion of applications, which provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification.
Advances in Automatic Differentiation
Covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization.
