Miller introduces optimization theory, which has a large overlap with operations research in a textbook he has used for a senior capstone class tying together much of the math in the undergraduate curriculum, as well as for a transition course on applying mathematics to the real world. Prerequisites are calculus and linear algebra, and while real analysis is useful, he reviews most of the terminology and results needed. His topics include the canonical linear programming problem, basic feasible and basic optimal solutions, introduction to stochastic linear programming, Brouser's fixed point theorem, and the four color problem. Annotation ©2018 Ringgold, Inc., Portland, OR (protoview.com)
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Steven J. Miller, Williams College, Williamstown, MA.
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Zustand: Good. Volume 30. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781470441142. Bestandsnummer des Verkäufers 9297038
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Hardback. Zustand: New. 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. Bestandsnummer des Verkäufers LU-9781470441142
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Hardcover. Zustand: new. Hardcover. 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. 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, in this volume there is less emphasis on coding and detailed applications as the intended audience is more mathematical. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781470441142
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