Описание: To find "criteria of simplicity" was the goal of David Hilbert`s recently discovered twenty-fourth problem on his renowned list of open problems given at the 1900 International Congress of Mathematicians in Paris.
Описание: This is a textbook on classical polynomial and rational approximation theory for the twenty-first century. Aimed at advanced undergraduates and graduate students across all of applied mathematics, it uses MATLAB to teach the field’s most important ideas and results.
Approximation Theory and Approximation Practice, Extended Edition differs fundamentally from other works on approximation theory in a number of ways: its emphasis is on topics close to numerical algorithms; concepts are illustrated with Chebfun; and each chapter is a PUBLISHable MATLAB M-file, available online.
The book centers on theorems and methods for analytic functions, which appear so often in applications, rather than on functions at the edge of discontinuity with their seductive theoretical challenges. Original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment. In addition, each chapter has a collection of exercises, which span a wide range from mathematical theory to Chebfun-based numerical experimentation.
Автор: Nason Victor Название: Theory and Practice of Mathematics ISBN: 1632385740 ISBN-13(EAN): 9781632385741 Издательство: Неизвестно Цена: 22530.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mathematics is the study of numbers, measurements, quantities and their correlation with each other. Arithmetic, algebra, geometry and analysis are the main branches of mathematics. Logic, uncertainty, probability, set theory, etc. are modern concerns that have become central to mathematics. This discipline is applied to diverse fields such as architecture, economics, etc. Some of the diverse topics covered in this book on mathematics address the varied branches that fall under this category. Students, researchers, experts and all associated with mathematics will benefit alike from this book.
Автор: Messac Название: Optimization in Practice with MATLAB® ISBN: 1107109183 ISBN-13(EAN): 9781107109186 Издательство: Cambridge Academ Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook is designed for undergraduate and graduate students and practitioners interested in learning optimization. The presentation is enriched with a robust set of real-world examples and practical exercises. Using MATLAB (R) software is encouraged throughout. The instructor is supported by a complete solutions manual and PowerPoint slides with animations.
Автор: Bandyopadhyay Susmita, Bhattacharya Ranjan Название: Discrete and Continuous Simulation: Theory and Practice ISBN: 1466596392 ISBN-13(EAN): 9781466596399 Издательство: Taylor&Francis Рейтинг: Цена: 31390.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
When it comes to discovering glitches inherent in complex systems--be it a railway or banking, chemical production, medical, manufacturing, or inventory control system--developing a simulation of a system can identify problems with less time, effort, and disruption than it would take to employ the original. Advantageous to both academic and industrial practitioners, Discrete and Continuous Simulation: Theory and Practice offers a detailed view of simulation that is useful in several fields of study.
This text concentrates on the simulation of complex systems, covering the basics in detail and exploring the diverse aspects, including continuous event simulation and optimization with simulation. It explores the connections between discrete and continuous simulation, and applies a specific focus to simulation in the supply chain and manufacturing field. It discusses the Monte Carlo simulation, which is the basic and traditional form of simulation. It addresses future trends and technologies for simulation, with particular emphasis given to .NET technologies and cloud computing, and proposes various simulation optimization algorithms from existing literature.
Includes chapters on input modeling and hybrid simulation
Introduces general probability theory
Contains a chapter on Microsoft(R) Excel(TM) and MATLAB(R)/Simulink(R)
Discusses various probability distributions required for simulation
Describes essential random number generators
Discrete and Continuous Simulation: Theory and Practice defines the simulation of complex systems. This text benefits academic researchers in industrial/manufacturing/systems engineering, computer sciences, operations research, and researchers in transportation, operations management, healthcare systems, and human-machine systems.
Автор: Biemer Название: Total Survey Error in Practice ISBN: 1119041678 ISBN-13(EAN): 9781119041672 Издательство: Wiley Рейтинг: Цена: 15198.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An edited volume for an upcoming conference on Total Survey Error (TSE), this book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation and analysis.
Автор: Raghunathan Название: Missing Data Analysis In Practice ISBN: 1482211920 ISBN-13(EAN): 9781482211924 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes easy-to-implement approaches, the underlying assumptions, and practical means for assessing these assumptions. Actual and simulated data sets illustrate important concepts, with the data sets and codes available online.
The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference.
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