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The Dhegiha Language
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Multi-Composed Programming with Applications to Facility Location
Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kinds of location problems numerically by using parallel splitting algorithms. Numerical comparisons of recent methods show the excellent performance of the proposed solving technique. About the Author: Dr. Oleg Wilfer received his PhD at the Faculty of Mathematics of Chemnitz University of Technology, Germany. He is currently working as a development engineer in the automotive industry.
Water Quality Modelling for Rivers and Streams
The main objective of the Water Framework Directive in the European countries is to achieve a “good status” of all the water bodies, in the integrated management of river basins. In order to assess the impact of improvement measures, water quality models are necessary. During the previous decades the progress in computer technology and computational methods has supported the development of advanced mathematical models for pollutant transport in rivers and streams. This book is intended to provide the fundamental knowledge needed for a deeper understanding of these models and the development of new ones, which will fulfil future quality requirements in water resources management. This boo...
Opera omnia
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Transactions of the American Society of Mechanical Engineers
Vols. 2, 4-11, 62-68 include the Society's Membership list; v. 55-80 include the Journal of applied mechanics (also issued separately) as contributions from the Society's Applied Mechanics Division.
The Opposite of Noise
In the age of too much data and too few breakthroughs, market "noise" is the biggest challenge for executives and managers. Finding growth opportunities requires a powerful filter. This filter is competitive intelligence- market insight that cuts through the din and propels companies to leap forward ahead of all others. It has little to do with more information on competitors. It has everything to do with making every market-facing manager more competitively skilled. In his characteristic blunt and entertaining style, the international expert and CEO of the Academy of Competitive Intelligence provides tools, tips, eye-opening case studies, and a new model to break through "data-driven" hype and change how management looks at competitive intelligence.
