Imagus Replacement
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IMAGUS
IMAGUS is a detailed guidebook that instructs the aspirant through the Threefold Evocation Process designed specifically for achieving contact with demons, the human psyche's most ancient and all-seeing teachers of the dark. IMAGUS was created for nothing less than to direct a Ceremonial Magik Operator into full and permanent possession of any demonic entity they desire. The IMAGUS magikal current is geared towards THE ARTIST and teaches that through full demonic possession an artist is able to gain unhindered access to an Illimitable Imagination (II). Through IMAGUS workings THE ARTIST will recover full jurisdiction of their psyche and create a powerful foundation from which they are able to project highly potent and effective intention within all their ART and other magikal workings. IMAGUS is a purely uninhibited exploration into ceremonial magik for the artist and includes very graphic sexual and shamanic rites that are to be performed by a Magus within the context of all their ceremonial workings.
Simulation and the Monte Carlo Method
Author: Reuven Y. Rubinstein
language: en
Publisher: John Wiley & Sons
Release Date: 2016-10-21
This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for problem solving Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo, variance reduction techniques such as importance (re-)sampling, and the transform likelihood ratio method, the score function method for sensitivity analysis, the stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization, the cross-entropy method for rare events estimation and combinatorial optimization, and application of Monte Carlo techniques for counting problems. An extensive range of exercises is provided at the end of each chapter, as well as a generous sampling of applied examples. The Third Edition features a new chapter on the highly versatile splitting method, with applications to rare-event estimation, counting, sampling, and optimization. A second new chapter introduces the stochastic enumeration method, which is a new fast sequential Monte Carlo method for tree search. In addition, the Third Edition features new material on: • Random number generation, including multiple-recursive generators and the Mersenne Twister • Simulation of Gaussian processes, Brownian motion, and diffusion processes • Multilevel Monte Carlo method • New enhancements of the cross-entropy (CE) method, including the “improved” CE method, which uses sampling from the zero-variance distribution to find the optimal importance sampling parameters • Over 100 algorithms in modern pseudo code with flow control • Over 25 new exercises Simulation and the Monte Carlo Method, Third Edition is an excellent text for upper-undergraduate and beginning graduate courses in stochastic simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method. Reuven Y. Rubinstein, DSc, was Professor Emeritus in the Faculty of Industrial Engineering and Management at Technion-Israel Institute of Technology. He served as a consultant at numerous large-scale organizations, such as IBM, Motorola, and NEC. The author of over 100 articles and six books, Dr. Rubinstein was also the inventor of the popular score-function method in simulation analysis and generic cross-entropy methods for combinatorial optimization and counting. Dirk P. Kroese, PhD, is a Professor of Mathematics and Statistics in the School of Mathematics and Physics of The University of Queensland, Australia. He has published over 100 articles and four books in a wide range of areas in applied probability and statistics, including Monte Carlo methods, cross-entropy, randomized algorithms, tele-traffic c theory, reliability, computational statistics, applied probability, and stochastic modeling.
Nonlinear Optical Materials and Devices for Applications in Information Technology
Author: A. Miller
language: en
Publisher: Springer Science & Business Media
Release Date: 1995-04-30
Nonlinear Optical Materials and Devices for Applications in Information Technology takes the reader from fundamental interactions of laser light in materials to the latest developments of digital optical information processing. The book emphasises nonlinear optical interactions in bulk and low-dimensional semiconductors, liquid crystals and optical fibres. After establishing the basic laser--material interactions in these materials, it goes on to assess applications in soliton propagation, integrated optics, smart pixel arrays and digital optical computing.