PThis book is dedicated to Prof. J. Kapur and his contributions to the field ofentropy measures and maximum entropy applications. Eminent scholars in variousfie... » 

PThis book is dedicated to Prof. J. Kapur and his contributions to the field ofentropy measures and maximum entropy applications. Eminent scholars in variousfields of applied information theory have been invited to contribute to thisFestschrift collected on the occasion of his 75SUPthSUP birthday. Thearticles cover topics in the areas of physical biological engineering andsocial sciences such as information technology soft computing nonlinearsystems or molecular biology with a thematic coherence. The volume will beuseful to researchers working in these different fields enabling them to seethe underlying unity and power of entropy optimization frameworks. P TOCPUncertainty Entropy and Maximum Entropy Principle An Overview. Facets ofGeneralized Uncertaintybased Information. Application of the MaximumInformation Entropy Principle to Stochastic Processes far from ThermalEquilibrium. Maximum Entropy Principle Information of NonRandom Functionsand Complex Fractals. Geometric Ideas in Minimum CrossEntropy. InformationTheoretic Measures for Knowledge Discovery and Data Mining. A UniversalMaximum Entropy Solution for Complex Queuing Systems and Networks. MinimumMean Deviation from the SteadyState Condition in Queuing Theory. On theUtility of Different Entropy Measures in Image Thresholding. EntropicThresholding Algorithms and Their Optimizations. Entropy and Complexity ofSequences. Some Lessons for Molecular Biology from Information Theory.Computation of the MinMax Measure. On Three Functional Equations Related tothe BoseEinstein Entropy. The Entropy Theory as a Decision Making Tool inEnvironmental and Water Resources. P «