Download PDF Xenoblade Chronicles X Collector's Edition GuideBy Prima Games

Download PDF Xenoblade Chronicles X Collector's Edition GuideBy Prima Games

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Xenoblade Chronicles X Collector's Edition GuideBy Prima Games

Download PDF Xenoblade Chronicles X Collector's Edition GuideBy Prima Games

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The Xenoblade Chronicles X Collector’s Edition Guide includes…

Deluxe hardcover: The beautiful hardcover edition of the guide will have premium treatments.

Screen cleaner: Includes a high-quality, microfiber screen cleaner featuring art from the game.

Explore everything: Our detailed walkthrough will guide players through all regions of this massive open world.

Customize your gameplay: Learn the best ways to customize your character and Skell to match your playstyle.

Master combat: Proven battle tactics on how to defeat each enemy and boss.

All the secrets: Complete details on all secrets in the game.

Free mobile-friendly eGuide! Includes a code to access the eGuide, a web-access version of the complete strategy guide optimized for a second-screen experience.

These limited edition guides will only be printed once. When they are sold out, they will be gone forever!

• Sales Rank: #109554 in Books
• Brand: Prima Games
• Published on: 2015-12-04
• Released on: 2015-12-04
• Original language: English
• Number of items: 1
• Dimensions: 11.20" h x 1.10" w x 8.30" l, .0 pounds
• Binding: Hardcover
• 512 pages

About the Author
Prima Games, an imprint of DK and a division of Penguin Random House Inc., is the world’s leading publisher of strategy content for PC and console video games. Prima Games understands what gamers—both casual and hardcore—want and need from strategy guides. Every guide features in-depth content, detailed screen captures, quick-reference tips, and professional strategy. Prima Games is also a leader in the digital strategy realm, offering interactive maps, streaming video, searchable online guides and apps, and a full website at primagames.com.


From the Trade Paperback edition.

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Ebook Free Louis Bachelier's Theory of Speculation: The Origins of Modern FinanceBy Louis Bachelier

Ebook Free Louis Bachelier's Theory of Speculation: The Origins of Modern FinanceBy Louis Bachelier

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March 29, 1900, is considered by many to be the day mathematical finance was born. On that day a French doctoral student, Louis Bachelier, successfully defended his thesis Théorie de la Spéculation at the Sorbonne. The jury, while noting that the topic was "far away from those usually considered by our candidates," appreciated its high degree of originality. This book provides a new translation, with commentary and background, of Bachelier's seminal work.

Bachelier's thesis is a remarkable document on two counts. In mathematical terms Bachelier's achievement was to introduce many of the concepts of what is now known as stochastic analysis. His purpose, however, was to give a theory for the valuation of financial options. He came up with a formula that is both correct on its own terms and surprisingly close to the Nobel Prize-winning solution to the option pricing problem by Fischer Black, Myron Scholes, and Robert Merton in 1973, the first decisive advance since 1900.

Aside from providing an accurate and accessible translation, this book traces the twin-track intellectual history of stochastic analysis and financial economics, starting with Bachelier in 1900 and ending in the 1980s when the theory of option pricing was substantially complete. The story is a curious one. The economic side of Bachelier's work was ignored until its rediscovery by financial economists more than fifty years later. The results were spectacular: within twenty-five years the whole theory was worked out, and a multibillion-dollar global industry of option trading had emerged.

• Sales Rank: #1321050 in Books
• Published on: 2006-09-25
• Original language: English
• Number of items: 1
• Dimensions: 9.21" h x .50" w x 6.14" l, 1.00 pounds
• Binding: Hardcover
• 208 pages

From the Back Cover

"Mark Davis and Alison Etheridge have done a splendid job in translating the Bachelier thesis, thus making it accessible to a wide audience. Apart from the thesis itself, they provide the reader with institutional information, a biography of Bachelier, and a short history of the development of stochastic analysis and mathematical finance. The result is a nice slim volume that will certainly be on the bookshelves of everyone interested in the subject."--Tomas Björk, Professor of Mathematical Finance, Stockholm School of Economics

"This gem of a book will please many readers, including students and researchers in economics, finance, mathematics, and physics. Beyond presenting an annotated translation of Bachelier's original thesis, it also provides a historical overview of the key scientific developments in various fields related to the concepts Bachelier introduced. It reads very well and offers great insight into the historical developments of probability and mathematical finance."--Paul Embrechts, ETH Zurich, coauthor of Quantitative Risk Management

"Louis Bachelier's thesis is a seminal work, and to have it readily accessible will be a most valuable contribution to the field. This book represents a timely look back at the scientific origins of the enormously important modern-day finance industry."--Chris Rogers, University of Cambridge, coauthor of Diffusions, Markov Processes and Martingales, Volumes 1 and 2

About the Author
Mark Davis, Professor of Mathematics at Imperial College London, has written three books on stochastic modeling and control, most recently "Markov Models and Optimization". Alison Etheridge, Professor of Probability at the University of Oxford, is the author of "A Course in Financial Calculus" and "Introduction to Superprocesses".

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Ebook Download Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)By Klaus D. Toennies

Ebook Download Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)By Klaus D. Toennies

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Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)By Klaus D. Toennies

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This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.

• Sales Rank: #2469045 in Books
• Published on: 2012-02-05
• Original language: English
• Number of items: 1
• Dimensions: 9.10" h x 1.20" w x 6.10" l, 1.75 pounds
• Binding: Hardcover
• 468 pages

From the Back Cover

Analysis of medical imaging poses special challenges distinct from traditional image analysis. Furthermore, the analysis must fit into the clinical workflow within which it has been requested.

This important guide/reference presents a comprehensive overview of medical image analysis. Highly practical in its approach, the text is uniquely structured by potential applications, supported by exercises throughout. Each of the key concepts are introduced in a concise manner, allowing the reader to understand the interdependencies between them before exploring the deeper details and derivations.

Topics and features:

• Presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations
• Describes a range of common imaging techniques, reconstruction techniques and image artefacts
• Discusses the archival and transfer of images, including the HL7 and DICOM standards
• Presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing
• Examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation
• Explores object detection, as well as classification based on segment attributes such as shape and appearance
• Reviews the validation of an analysis method
• Includes appendices on Markov random field optimization, variational calculus and principal component analysis

This easy-to-follow, classroom-tested textbook is ideal for undergraduate and graduate courses on medical image analysis and related subjects – with possible course outlines suggested in the Preface. The work can also be used as a self-study guide for professionals in medical imaging technology, and for computer scientists and engineers wishing to specialise in medical applications. 

About the Author
Dr. Klaus D. Toennies is a Professor of Image Processing and Pattern Recognition at the Department of Simulation and Graphics of the Otto-von-Guericke University of Magdeburg, Germany.

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Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)By Klaus D. Toennies PDF

Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)By Klaus D. Toennies PDF

Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)By Klaus D. Toennies PDF

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