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920 tulosta hakusanalla Shu-Fang Lai

Charles Reade, George Meredith and Harriet Martineau as Serial Writers of «Once a Week » (1859-1865)
The book is about three primary serial contributors to Once a Week during the critical period when it was featured as the rival magazine of Dickens’s All the Year Round. Divergent as their natures were, the three writers – Reade, Meredith and Martineau – took markedly different stands and separated themselves from the popular Dickensian trend in the competitive journalistic world. This study not just uncovers the long neglected Victorian weekly, but also writers of genuine originality and great thinkers. The three often underestimated writers and their serial publications represent cross-sections of the dynamic Victorian journalism. Discoveries of the Dickens’s «rival group» supplement Dickensian studies.
Chinese Worldview Regarding Justicethe Supernatural

Chinese Worldview Regarding Justicethe Supernatural

Dora Shu-fang Dien

Nova Science Publishers Inc
2007
sidottu
The Chinese emphasis on criminal justice is rooted in their conception of morality which is tied to their cosmology and supernatural beliefs. This book focuses on criminal justice by drawing upon court cases. It includes legendary stories, folk tales and wuxia novels as they inform us about the popular beliefs in justice and the supernatural.
Entropy Optimization and Mathematical Programming

Entropy Optimization and Mathematical Programming

Shu-Cherng Fang; J.R. Rajasekera; H.S.J. Tsao

Springer
1997
sidottu
Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader.
Entropy Optimization and Mathematical Programming

Entropy Optimization and Mathematical Programming

Shu-Cherng Fang; J.R. Rajasekera; H.S.J. Tsao

Springer-Verlag New York Inc.
2012
nidottu
Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader.