BISON-C: A one-dimensional transport and burnup calculation code with consideration of actinides and fission products Auteur(s) / Author(s) CETNAR J. (1) GRONEK P. (1) Affiliation(s) du ou des auteurs / Author(s) Affiliation(s) (1) University of Mining and Metallurgy, Faculty of Physics and Nuclear Techniques, 30 059 Cracow, POLOGNE
標簽： one-dimensional consideration calculation and
上傳時間： 2015-07-17
上傳用戶：royzhangsz
BISON-C: A one-dimensional transport and burnup calculation code with consideration of actinides and fission products Auteur(s) / Author(s) CETNAR J. (1) GRONEK P. (1) Affiliation(s) du ou des auteurs / Author(s) Affiliation(s) (1) University of Mining and Metallurgy, Faculty of Physics and Nuclear Techniques, 30 059 Cracow, POLOGNE
標簽： one-dimensional consideration calculation and
上傳時間： 2015-07-17
上傳用戶：wendy15
Tricks of the Windows Game Programmin Gurus, 2E takes the reader through Win32 programming, covering all the major components of DirectX including DirectDraw, DirectSound, DirectInput (including Force Feedback), and DirectMusic. Andre teaches the reader 2D graphics and rasterization techniques. Finally, Andre provides the most intense coverage of game algorithms, multithreaded programming, artificial intelligence (including fuzzy logic, neural nets, and genetic algorithms), and Physics modeling you have ever seen in a game book.
標簽： programming Programmin the covering
上傳時間： 2014-01-02
上傳用戶：wangchong
Please read this document before attempting to compile and run the libraries and applications! The projects must be compiled in a particular order. Standard support questions are about compiler and/or linker errors that are generated when users try to compile the projects in the wrong order. Other information of interest is available here, so read the entire document fi rst. Wild Magic Version 2.1 is what ships with the fi rst printing of the Game Physics book. Some of the applications that are referenced in the book did not make it onto the CD–ROM for the book. Version 2.2 contains those applications, plus more
標簽： applications attempting and libraries
上傳時間： 2014-01-16
上傳用戶：Late_Li
（法）費朗克斯 數學物理學百科全書_Encyclopedia of Mathematical Physics
上傳時間： 2015-05-05
上傳用戶：look_children
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock Physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
This book describes the applications of the fundamental interactions of electromagnetic waves and materials as described in the preceding volume, “Basic Electromagnetism and Materials”. It is addressed to students studying masters or doctorate courses in electronics, electromagnetism, applied Physics, materials Physics, or chemical Physics. In particular, this volume analyzes the behavior of materials in the presence of an electromagnetic field and related applications in the fields of electronics, optics, and materials Physics.
標簽： Electromagnetism Materials Applied and
上傳時間： 2020-05-26
上傳用戶：shancjb
The working title of this book was Channel Equalization for Everyone. Channel equalization for everyone? Well, for high school students, channel equalization provides a simple, interesting example of how mathematics and Physics can be used to solve real-world problems.
標簽： Equalization Channel
上傳時間： 2020-05-26
上傳用戶：shancjb
By inventing the wireless transmitter or radio in 1897, the Italian physicist Tomaso Guglielmo Marconi added a new dimension to the world of communications. This enabled the transmission of the human voice through space without wires. For this epoch-making invention, this illustrious scientist was honored with the Nobel Prize for Physics in 1909. Even today, students of wireless or radio technology remember this distinguished physicist with reverence. A new era began in Radio Communications.
標簽： Radio Frequency Modulation
上傳時間： 2020-06-01
上傳用戶：shancjb
From its inception, random matrix theory has been heavily influenced by its applications in Physics, statistics and engineering. The landmark contributions to the theory of random matrices of Wishart (1928) [311], Wigner (1955) [303], and Mar? cenko and Pastur (1967) [170] were moti- vated to a large extent by practical experimental problems.
上傳時間： 2020-06-01
上傳用戶：shancjb
