Peter Maass – författare

The catastrophic oil spill in the Gulf of Mexico has brought new attention to the huge costs of our oil dependence. In this stunning and revealing book, Peter Maass examines the social, political, and environmental impact of petroleum on the countries that produce it.Every unhappy oil-producing nation is unhappy in its own way, but all are touched by the “resource curse”—the power of oil to exacerbate existing problems and create new ones. Peter Maass presents a vivid portrait of the troubled world oil has created. From Saudi Arabia to Equatorial Guinea, from Venezuela to Iraq, the stories of rebels, royalty, middlemen, environmentalists, indigenous activists, and CEOs—all deftly and sensitively presented—come together in this startling and essential account of the consequences of our addiction to oil.

This book should illustrate the impact of collaborations between mathematics and industry. It is both an initiative of and coordinated by the German Committee for Mathematical Modeling, Simulation and Optimization (KoMSO). This publication aims at comparing the state of the art at the intersection of mathematics and industry, as well as the demands for future development of science and technology in Germany and beyond.

Each contribution addresses the importance of mathematics in innovation by means of introducing a successful cooperation with an industrial partner in order to display the wide range of industrial sectors where the use of mathematics is the crucial factor for success, but also show the variety of mathematical areas involved in these activities. The success stories introduced in this volume will be supplemented by appropriate illustrations.

It is the goal of this publication to highlight cooperation between mathematics and industry as a two-way technology and knowledge transfer, providing industry with solutions and mathematics with new research topics and inspiring new methodologies.

The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and geophysical/environmental sciences, is also addressed.

This volume coherently summarizes work carried out in the field of theoretical signal and image processing. It focuses on non-linear and non-parametric models for time series as well as on adaptive methods in image processing.