The Non-designer's Design Book
The Non-designer's Design Book

Author: Robin Williams

Publisher: Pearson Education

Published: 2015

Total Pages: 241

ISBN-13: 0133966151

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This guide provides a simple, step-by-step process to better design. Techniques promise immediate results that forever change a reader's design eye. It contains dozens of examples.

X-Ray Scattering of Soft Matter
X-Ray Scattering of Soft Matter

Author: Norbert Stribeck

Publisher: Springer Science & Business Media

Published: 2007-05-16

Total Pages: 251

ISBN-13: 3540698566

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This manual is a useful ready-reference guide to the analytical power of modern X-ray scattering in the field of soft matter. The author describes simple tools that can elucidate the mechanisms of structure evolution in the studied materials, and follows this up with a step-by-step guide to more advanced methods. Data analysis based on clear, unequivocal results is rendered simple and straightforward – with a stress on careful planning of experiments and adequate recording of all required data.

Alternatives for Landmine Detection
Alternatives for Landmine Detection

Author: Jacqueline MacDonald Gibson

Publisher: Rand Corporation

Published: 2003

Total Pages: 336

ISBN-13: 9780833033017

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At the rate that government and nongovernmental organizations are clearing existing landmines, it will take 450-500 years to rid the world of them. Concerned about the slow pace of demining, the Office of Science and Technology asked RAND to assess potential innovative technologies being explored and to project what funding would be required to foster the development of the more promising ones. The authors of this report suggest that the federal government undertake a research and development effort to develop a multisensor mine detection system over the next five to eight years.

High-Dimensional Probability
High-Dimensional Probability

Author: Roman Vershynin

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 299

ISBN-13: 1108244548

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High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.