mixing v3 theory and practice 003

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Mixing Theory And Practice

Author : Vincent W. Uhl
ISBN : PSU:000014904301
Genre : Technology & Engineering
File Size : 31. 85 MB
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Mixing V1

Author : Vincent Uhl
ISBN : 9780323154727
Genre : Science
File Size : 84. 94 MB
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Mixing: Theory and Practice, Volume 1 focuses on the mechanisms and applications of mixing in turbulent flow. This book discusses the theoretical and empirical methods that provide a basis for predicting the process as well as the mechanical performance characteristics of equipment used in different types of mixing operations. Comprised of five chapters, this volume starts with an overview of the mixing process, which tends to reduce gradients or nonuniformities in properties, composition, or temperature of materials in bulk. This text then explores the mixing operations that involve the transfer of a component to or from an equipment surface or boundary. Other chapters discuss the kinds of problems that occur in the design and use of mixing equipment, including the selection of size, type, and operating conditions. The final chapter deals with heat transfer where agitation is provided by mechanical devices. Development, design, and operating engineers will find this book extremely useful.

Mixing V3

Author : Vincent W. Uhl
ISBN : 9780323155885
Genre : Science
File Size : 72. 32 MB
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Mixing: Theory and Practice, Volume III is a five-chapter text that covers the significant improvements in the theoretical aspects and knowledge in mixing related to industrial-scale operations. The introductory chapters deal with the agitation of particulate solid-liquid mixtures and the turbulent radial mixing in pipes, with particular emphasis on the effects of jets and baffles on such mixing. The following chapter presents the theoretical analysis and experimental confirmation for predicting hydrodynamic characteristics and some process results in mechanically agitated vessels. Another chapter provides a comprehensive development of approaches and recommended practices for scale-up of agitated liquid equipment. The methods considered serve as a useful guide for reducing the risk of scale-up and scale-down catastrophes. The last chapter discusses the fundamental concepts and measures of the quality of mixing and the mechanisms of mixing and segregation. This chapter also introduces the process of continuous mixing of solids.

Time Series Analysis And Its Applications

Author : Robert H. Shumway
ISBN : 9783319524528
Genre : Mathematics
File Size : 30. 59 MB
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The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods. This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book’s website for download, making all the data sets and scripts easy to load into R.

A Primer On Scientific Programming With Python

Author : Hans Petter Langtangen
ISBN : 9783662498873
Genre : Computers
File Size : 22. 18 MB
Format : PDF
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The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

A Student S Guide To Coding And Information Theory

Author : Stefan M. Moser
ISBN : 9781107601963
Genre : Technology & Engineering
File Size : 58. 18 MB
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A concise, easy-to-read guide, introducing beginners to the engineering background of modern communication systems, from mobile phones to data storage. Assuming only basic knowledge of high-school mathematics and including many practical examples and exercises to aid understanding, this is ideal for anyone who needs a quick introduction to the subject.

Reliability Theory

Author : Ilya Gertsbakh
ISBN : 3540672753
Genre : Mathematics
File Size : 87. 54 MB
Format : PDF
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This book on reliability theory focuses on important applications in preventive maintenance (PM) and presents all models in light of relevant statistical material. Simply written, this self-contained book includes exercises, many elaborated with Mathematica notebooks. It addresses novel topics such as PM with learning, choice of the best time-scale for PM, handling multidimensional state description, and dealing with uncertainty in data. The book is meant for engineers and students specializing in quality control, logistics, reliability and maintenance engineering.

Stone Matrix Asphalt

Author : Krzysztof Blazejowski
ISBN : 1439819726
Genre : Technology & Engineering
File Size : 88. 20 MB
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In the years since the development and subsequent success of Stone Matrix Asphalt (SMA), a plethora of articles have emerged, scattered throughout various publications. The time is right for a comprehensive resource that collects, examines, and organizes this information and makes it easily accessible. A compilation and distillation of the latest knowledge available, Stone Matrix Asphalt: Theory and Practice describes SMA, from its origin through implementation, and explores various methods and design approaches. Detailing the requirements and materials for the mix, including asphalt binder, aggregates, and stabilizers, the book covers standard and alternative design methods and their execution, as well as best practices and production processes. It addresses issues such as permanent deformation and fatigue resistance, as well as special applications, such as bridge deck surfacing and airfields. The book uses practical examples to illustrate theory, presents practical tips useful in everyday work, and includes a review of problems that can occur during laydown, and their potential solutions. Drawn from the author’s extensive experience during the introduction of SMA in the early 1990s and discussions with many process engineers, the book provides the practical information needed to customize methods for individual applications of SMA. Blazejowski puts together a picture, drawn from a broad range of literature. The result: a reference that is handy, practical, and easy to use.

Solving Problems In Food Engineering

Author : Stavros Yanniotis
ISBN : 0387735143
Genre : Technology & Engineering
File Size : 25. 32 MB
Format : PDF, ePub
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This easy-to-follow guide is a step by step workbook intended to enhance students' understanding of complicated concepts in food engineering. It also gives them hands-on practice in solving food engineering problems. The book covers problems in fluid flow, heat transfer, and mass transfer. It also tackles the most common unit operations that have applications in food processing, such as thermal processing, cooling and freezing, evaporation, psychometrics and drying. Included are theoretical questions in the form of true or false, solved problems, semi-solved problems, and problems solved using a computer. The semi-solved problems guide students through the solution.

Applied Quantitative Finance

Author : Wolfgang Karl Härdle
ISBN : 9783662544860
Genre : Business & Economics
File Size : 38. 2 MB
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This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility. The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.

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