Download or read book Special Purpose Computer for Evaluation of Correlation Functions written by Donald Norman Senzig and published by . This book was released on 1962 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Diffusion Fundamentals written by Jörg Kärger and published by Leipziger Universitätsverlag. This book was released on 2005 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book University of Michigan Official Publication written by University of Michigan and published by UM Libraries. This book was released on 1971 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each number is the catalogue of a specific school or college of the University.

Download or read book Computational Physics Proceedings Of The Cp90 International Conference written by Armin G Tenner and published by #N/A. This book was released on 1991-04-30 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: The invited talks include applications from the fields of solid state physics, plasma physics, hydrodynamics, high-energy physics, thermodymanics, atomic and molecular physics, chemistry, statistical physics, earth sciences, neural networks, meteorology, astrophysics, and presentations on cellular automata and quantum Monte Carlo methods. The emphasis is on methods of software development and engineering, graphic tools, and storage of physical data.

Download or read book The Design and Analysis of Computer Experiments written by Thomas J. Santner and published by Springer. This book was released on 2019-01-08 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

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Download or read book System Identification written by R. Isermann and published by Elsevier. This book was released on 2014-05-23 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: System Identification is a special section of the International Federation of Automatic Control (IFAC)-Journal Automatica that contains tutorial papers regarding the basic methods and procedures utilized for system identification. Topics include modeling and identification; step response and frequency response methods; correlation methods; least squares parameter estimation; and maximum likelihood and prediction error methods. After analyzing the basic ideas concerning the parameter estimation methods, the book elaborates on the asymptotic properties of these methods, and then investigates the application of the methods to particular model structures. The text then discusses the practical aspects of process identification, which includes the usual, general procedures for process identification; selection of input signals and sampling time; offline and on-line identification; comparison of parameter estimation methods; data filtering; model order testing; and model verification. Computer program packages are also discussed. This compilation of tutorial papers aims to introduce the newcomers and non-specialists in this field to some of the basic methods and procedures used for system identification.

Download or read book Masters Theses and Doctoral Dissertations in the Pure and Applied Sciences Accepted by Colleges and Universities of the United States written by and published by . This book was released on 1961 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Signal Processing in Radar Systems written by Vyacheslav Tuzlukov and published by CRC Press. This book was released on 2017-12-19 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital signal processing subsystems. It also tackles the important issue of defining signal parameters. The book presents problems related to traditional methods of synthesis and analysis of the main digital signal processing operations. It also examines problems related to modern methods of robust signal processing in noise, with a focus on the generalized approach to signal processing in noise under coherent filtering. In addition, the book puts forth a new problem statement and new methods to solve problems of adaptation and control by functioning processes. Taking a systems approach to designing complex radar systems, it offers readers guidance in solving optimization problems. Organized into three parts, the book first discusses the main design principles of the modern robust digital signal processing algorithms used in complex radar systems. The second part covers the main principles of computer system design for these algorithms and provides real-world examples of systems. The third part deals with experimental measurements of the main statistical parameters of stochastic processes. It also defines their estimations for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing, this book summarizes investigations carried out over the past 30 years. It supplies practitioners, researchers, and students with general principles for designing the robust digital signal processing algorithms employed by complex radar systems.