Product Description 
"A systematic review of the structure and context of the blockchain-derived economic model... (the book) describes cryptoeconomics in connection with the game theory, behavioral economics and others in simple understandable language."―Wang Feng, founder of Linekong Interactive Group and Mars Finance, partner in Geekbang Venture Capital 
Blockchain technology has subverted existing perceptions and is the start of an economic revolution, called, cryptoeconomics. Blockchain is a key component of cryptoeconomics. Vlad Zamfir, a developer of Ethereum, defines this term as "a formal discipline that studies protocols that governs the production, distribution, and consumption of goods and services in a decentralized digital economy. Cryptoeconomics is a practical science that focuses on the design and characterization of these protocols". 
This book explains the structures of blockchain-derived economic models, their history, and their application. It uses real-world cases to illustrate the relationship between cryptoeconomics and blockchain. 
Blockchain technology solves trust issues. A blockchain application can restrict behavior on the blockchain through a reward and punishment system that enables consensus in an innovative way. The greatest significance of cryptoeconomics lies in guaranteeing safety, stability, activity, and order in a decentralized consensus system. Security and stability are achieved mainly by cryptographical mechanisms. Activity and order are achieved through economic mechanisms.\nCryptoeconomics and Blockchain: Ignighting a New Era of Blockchain discusses the most popular consensus algorithms and optimization mechanisms. With examples explained in clear and simple terms that are easy to understand, the book also explores economic mechanisms of blockchain such as game theory and behavioral economics. 
 About the Author 
Baron Gong holds a master of science in management science and economics from Columbia University. An expert in blockchain technology and cryptoeconomics he is a columnist for the Harvard Business Review China and the Wall Street News China. Wei Xu is the co-founder of EOSCUBE as well as the founder of Comet Broadcasting. A well-known blogger in China, he has experience in blockchain project investment and management.

Cryptoeconomics: Igniting a New Era of Blockchain

Business & Money

Xu, Wei

Gong, Jian

Finance

Auerbach Publications

This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).

Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications, 30)

Computers & Technology

Gong, Yihong

Computer Science

Springer

Implements evolutionary optimization algorithms are directly implemented to improve Permanent Magnet Synchronous Machines (PMSM) performance Provides coverage of PMSM control design in the flux weakening region Proposes a modern control method of model predictive control is proposed to improve the dynamic performance of interior PMSM Studies the dynamic performance of two kinds of PMSMs, that of surface mounted and interior permanent magnet types Includes several case studies and illustrative examples with MATLAB

Permanent Magnet Synchronous Machines and Drives: Flux Weakening Advanced Control Techniques (Advances in Power Electronic Converter)

Engineering & Transportation

Islam, Md. Rabiul

Ismail, Moustafa Magdi

Engineering

CRC-Press

"A systematic review of the structure and context of the blockchain-derived economic model... (the book) describes cryptoeconomics in connection with the game theory, behavioral economics and others in simple understandable language."--Wang Feng, founder of Linekong Interactive Group and Mars Finance, partner in Geekbang Venture Capital Blockchain technology has subverted existing perceptions and is the start of an economic revolution, called, cryptoeconomics. Blockchain is a key component of cryptoeconomics. Vlad Zamfir, a developer of Ethereum, defines this term as "a formal discipline that studies protocols that governs the production, distribution, and consumption of goods and services in a decentralized digital economy. Cryptoeconomics is a practical science that focuses on the design and characterization of these protocols". This book explains the structures of blockchain-derived economic models, their history, and their application. It uses real-world cases to illustrate the relationship between cryptoeconomics and blockchain. Blockchain technology solves trust issues. A blockchain application can restrict behavior on the blockchain through a reward and punishment system that enables consensus in an innovative way. The greatest significance of cryptoeconomics lies in guaranteeing safety, stability, activity, and order in a decentralized consensus system. Security and stability are achieved mainly by cryptographical mechanisms. Activity and order are achieved through economic mechanisms. Cryptoeconomics and Blockchain: Ignighting a New Era of Blockchain discusses the most popular consensus algorithms and optimization mechanisms. With examples explained in clear and simple terms that are easy to understand, the book also explores economic mechanisms of blockchain such as game theory and behavioral economics.

Cryptoeconomics

Optimizing Supply Chain Performance takes industrial case studies from SMEs in China to examine the importance of information sharing and coordinated management as essential mechanisms to improve supply chain performance.

Optimizing Supply Chain Performance: Information Sharing and Coordinated Management

Roe, Michael

Song, Dongping

Science & Math

PALGRAVE~MACMILLAN

This volume introduces machine learning techniques that are particularly effective for modeling multimedia data and common tasks of multimedia content analysis. It demonstrates the application of key machine learning techniques through case studies.

Handscroll; Ink and wash on paper; 1294cm(width)*22cm(height) From right to left, thirteen different species of plants are depicted in this painting, beginning with the peony, followed by the pomegranate flower and lotus, then a tall Chinese parasol tree that occupies a space equal in size to that covered by the previous three flowers combined. This is followed by the chrysanthemum, pumpkin, lentil, and crepe myrtle clustered together as a transition to grapes and plantain, which form the core of the painting and take up one third of the space, pushing the momentum of the scroll to its climax. It concludes with light ink depicting the outline of plum blossoms, daffodils, and bamboo. Xu painted with a type of ink that was a specialty of Anhui Province, employing freestyle brushstrokes with great improvization to create a symphonic grandeur and magnificence. Xie Zhiliu praised Xu Wei as "next to no other painter in the world."

Various Flowers (The Royal Collection of Imperial China)

Arts & Photography

Themes

Royal Collins Publishing Company

The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code s complexity. However, the space and time efficiency of AD can be dramatically improved - sometimes transforming a problem from intractable to highly feasible - if inherent problem structure is used to apply AD in a judicious manner.
 Automatic Differentiation in MATLAB using ADMAT with Applications discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates.
 Audience: This book will prove useful to financial engineers, quantitative analysts, and researchers working with inverse problems, as well as to engineers and applied scientists in other fields.
 Contents: Chapter 1: Fundamentals of Automatic Differentiation and the Use of ADMAT; Chapter 2: Products and Sparse Problems; Chapter 3: Using ADMAT with the MATLAB Optimization Toolbox; Chapter 4: Newton's Method and Optimization; Chapter 5: Structure; Chapter 6: Combining C/Fortran with ADMAT; Chapter 7: AD for Inverse Problems with an Application to Computational Finance; Chapter 8: A Template for Structured Problems; Chapter 9: R&amp;D Directions; Appendix A: Installation of ADMAT; Appendix B: How Are Codes Differentiated?

Automatic Differentiation in MATLAB using ADMAT with Applications (Software, Environments and Tools, Series Number 27)

Coleman, Thomas F.

Mathematics

Society for Industrial and Applied Mathematics

Xu Wei cursive two [Paperback]

Zhejiang People s Fine Arts Publishing House; 1 (J

Easily Reading the Financial Statements of Listed Companies (Chinese Edition)

Lixin Accountant Publishing House

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