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However, as with the presentation of the theory behind optimisation methods, this is not a clear weakness for regular practitioners and those learning the optimisation methods and not yet ready for a very in-depth treatment. After reflection, we think this would only present a weakness in the book in the cases where the text was used as a guide for developing new optimisation methods or addressing stability, convergence, uncertainty, and other very technical issues in optimisation methods themselves; for most practical applications, such as those encountered by typical mechanical design teams and students (both graduate and undergraduate) learning optimisation methods, this level of discussion is appropriate and useful. A review of design optimization using MATLAB® and SOLIDWORKS® by Krishnan Suresh We sincerely hope that Dr. Suresh will write a second very similar book discussing some additional topics, particularly his work on 3-D topology optimisation and some applications, some thermal and fluid mechanics problems, and system design problems. [Extracted from the article]

Benjamin Wardhaugh starts this section with an examination of the use of marks and more deliberate marginalia in 366 copies of eighteenth-century mathematical books; he finds approximately 85% of books bore varying evidence of use, which is likely an I under i count, particularly with respect to heavily annotated books, which are less likely to have been preserved than cleaner books. Together, these chapters expand our understanding of how university students and scholars - particularly those who would not go on to become professional mathematicians - encountered mathematics and engaged with mathematical books during the early modern period. Overall, this book is a thought-provoking collection of case studies that fulfills its subtitle's promise to explore the production, collection, and - most of all - use of early modern mathematical books. [Extracted from the article]

In summary, I Statistics in Medicine i would be a wonderful introduction textbook for anyone interested in statistics in medical, clinical, and public health research, but it is not suited for graduate-level training in statistics. The book is designed for graduate students, clinical researchers, and health care professionals as a first course in statistics with emphasis on applications in medical, clinical, and public health research. Furthermore, although the book nicely presents step-by-step implementation of methods and check-yourself exercises, readers may be interested in how to implement statistical methods using computers. [Extracted from the article]