Mathematics of Optimization: How to Do Things FasterКНИГИ » НАУКА И УЧЕБА
Название: Mathematics of Optimization: How to Do Things Faster Автор: Steven J. Miller Издательство: American Mathematical Society Год: 2017 Страниц: 327 Формат: True PDF Размер: 24 Mb Язык: English
Optimization Theory is an active area of research with numerous applications; many of the books are designed for engineering classes, and thus have an emphasis on problems from such fields. Covering much of the same material, there is less emphasis on coding and detailed applications as the intended audience is more mathematical. There are still several important problems discussed (especially scheduling problems), but there is more emphasis on theory and less on the nuts and bolts of coding. A constant theme of the text is the ``why'' and the ``how'' in the subject. Why are we able to do a calculation efficiently? How should we look at a problem? Extensive effort is made to motivate the mathematics and isolate how one can apply ideas/perspectives to a variety of problems. As many of the key algorithms in the subject require too much time or detail to analyze in a first course (such as the run-time of the Simplex Algorithm), there are numerous comparisons to simpler algorithms which students have either seen or can quickly learn (such as the Euclidean algorithm) to motivate the type of results on run-time savings.
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Distributed Source Coding: Theory and Practice Название: Distributed Source Coding: Theory and Practice Автор: Samuel Cheng, Shuang Wang, Yong Fang Издательство: Wiley Год: 2017 Страниц: 384...
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Mathematics of Optimization: How to Do Things Faster 
