Item description for Mathematical Models in Photographic Sciences (Mathematics in Industry) by Avner Friedman...
This book presents mathematical models that arise in current photographic science. The book contains seventeen chapters, each dealing with one area of photographic science, and a final chapter containing exercises. Each chapter, except the two introductory chapters and the last one, begins with general background information at a level understandable by graduate and undergraduate students. It then proceeds to develop a mathematical model, using mathematical tools such as ordinary differential equations, partial differential equations, and stochastic processes. Next, some mathematical results are mentioned, often providing a partial solution to problems raised by the model. Finally, most chapters include open problems. The last chapter of the book contains "Modeling and Applied Mathematics" exercises based on the material presented in the earlier chapters.These exercises are intended primarily for graduate students and advanced undergraduates.
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Est. Packaging Dimensions: Length: 9.4" Width: 6.2" Height: 0.6" Weight: 1.05 lbs.
Release Date Feb 12, 2003
ISBN 3540442197 ISBN13 9783540442196
Availability 50 units. Availability accurate as of May 25, 2017 05:09.
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More About Avner Friedman
Baltazar Aguda is currently associate professor of Genetics & Genomics at the Boston University School of Medicine. He holds joint appointments in Biomedical Engineering, in the Bioinformatics & Systems Biology program at Boston University, and a membership in the Center for Biodynamics in the same university. Recently, he was appointed member of the National Science Foundation's (NSF, USA) research proposal review panel in molecular & cellular biosciences (2004-7). He was a visiting faculty at the Mathematical Biosciences Institute at Ohio State University (2003), at the Weizmann Institute of Science in Israel (2000), and a visiting associate at the California Institute of Technology (2000-2001). Dr. Aguda obtained his PhD in Chemistry (Chemical Physics Program) from the University of Alberta in Canada (1986), and was a tenured faculty member of the Department of Chemistry & Biochemistry at Laurentian University in Canada (1994-2002) before moving to Boston. Avner Friedman is a Distinguished Professor of Mathematics and Physical Sciences at the Ohio State University, where he also serves as the Director of the Mathematical Biosciences Institute. He received his Ph.D. degree in 1956 from the Hebrew University. He was Professor of Mathematics at Northwestern University (1962-1985), and a Duncan Distinguished Professor of Mathematics at Purdue University (1985-1987).
Avner Friedman has an academic affiliation as follows - Director, Mathematical Biosciences Institute, The Ohio State Universit.
Reviews - What do customers think about Mathematical Models in Photographic Sciences (Mathematics in Industry)?
limited appeal - overshadowed by digital cameras Jul 28, 2006
The potential audience for this book is very limited, for two reasons. Firstly, and obviously, it is for researchers in photography, who want to improve the performance of film. For example, by reducing the granularity or the surface tension. The book is not for the amateur photographer who maintains her own darkroom. Rather, it is for those developing new types of film.
The second reason for the book's limited appeal is the rise of digital cameras. The global customer base for film is shrinking continually. Granted, at some point, it will stabilise. All this means that few companies, even on the scale of Kodak, can afford to maintain an extensive research effort in film.
There is actually a third reason, which may be discerned from the book. The understanding of the physical and chemical processes in film is very mature. Film is a known technology which has probably been pushed to its performance limit. Future gains are likely to be very incremental. Whereas digital cameras (and this is a phrase which will soon be elided to just 'cameras') still have much room for improvements in their baseline semiconductor technology.