MAPPING PARTITION “A hugely productive partnership between geography and history, ‘Mapping Partition’ does a great service to the field of Partition studies - it leaves us in no doubt about both the long-term cartographical processes that contributed to how South Asia was divided in 1947, and the importance of bringing a geographer’s insights to bear on this complex history of boundary making.” Professor Sarah Ansari, Professor of History (South Asia), Royal Holloway University of London “Fitzpatrick produces spatial readings of partition’s knowledge formations, geopolitical imaginaries, administrative cartography, and legal geographical expertise. These enrich the histories and geographies of partition through painstaking archival, textual, and visual analysis which will resonate far beyond historical geography and South Asian studies.” Professor Stephen Legg, Professor of Historical Geography, University of Nottingham Mapping Partition delivers the first in-depth geographical account of the partition of India and Pakistan in 1947. The book explores the impact of colonial geography and geographers on the boundary, both during the partition process and in the period preceding it. Drawing on extensive archival research, Hannah Fitzpatrick argues that colonial geographical knowledge underpinned the partition process in heretofore unacknowledged ways. The author also discusses the consequences of placing different ethnic, communal, and linguistic groups onto the colonial map and the growing importance of majority and minority populations in representative democratic politics. Mapping Partition: Politics, Territory and the End of Empire in India and Pakistan is required reading for students and researchers studying geography, colonial and imperial history, South Asian studies, and interdisciplinary border studies.

The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues. There is a growing need to tackle uncertainty in applications of optimization. For example the massive introduction of renewable energies in power systems challenges traditional ways to manage them. This book lays out basic and advanced tools to handle and numerically solve such problems and thereby is building a bridge between Stochastic Programming and Stochastic Control. It is intended for graduates readers and scholars in optimization or stochastic control, as well as engineers with a background in applied mathematics.

This book explores the concept of a map as a fundamental data type. It defines maps at three levels. The first is an abstract level, in which mathematic concepts are leveraged to precisely explain maps and operational semantics. The second is at a discrete level, in which graph theory is used to create a data model with the goal of implementation in computer systems. Finally, maps are examined at an implementation level, in which the authors discuss the implementation of a fundamental map data type in database systems. The map data type presented in this book creates new mechanisms for the storage, analysis, and computation of map data objects in any field that represents data in a map form. The authors develop a model that includes a map data type capable of representing thematic and geometric attributes in a single data object. The book provides a complete example of mathematically defining a data type, ensuring closure properties of those operations, and then translating that type into a state that is suited for implementation in a particular context. The book is designed for researchers and professionals working in geography or computer science in a range of fields including navigation, reasoning, robotics, geospatial analysis, data management, and information retrieval.

Proceedings -- Parallel Computing.

For those database administrators intending to upgrade or those who need to know the new features that will affect the entire Oracle database world, this book relates all of the features of this new database. The complete details of the database's new features, including database management and administration enhancements, are discussed. Improvements and additions to security, architecture, Internet features, real application clusters, and performance are also detailed.

The MicroStrategy Architect: Advanced Project Design course covers advanced features involved in the creation and maintenance of a MicroStrategy project. In this course, students will learn how to manage project data sources, create tables using data marts, and configure projects to access heterogeneous data sources using MicroStrategy MultiSource Option™. Students will also learn about fact level extensions, transformations, and partition mappings.