In the era of e-commerce and digitalization, new commercial patterns and opportunities are emerging. For example, in addition to traditional reselling marketing channels, manufacturers can easily open direct channels using a variety of digital marketing strategies. These new marketing channels will cause conflict and competition between manufacturers and resellers. This raises the important question of how to make optimal decisions for multiple players in dual-channel supply chain contexts. Within changing and uncertain operation environments, business enterprises must face tougher challenges than before to survive in competitive markets. This book aims to address representative decision-making problems in dual-channel supply chains with risk-averse channel members. The most recently developed risk assessment technique, Conditional Value at Risk (CVaR), will be adopted as the predominant criterion to measure the risk-averse attitude. Based on game theory, important issues such as channel selection, pricing, order quantity, manufacturer encroachment, greening strategy, consumer return policies, financing strategies, channel coordination, contract design, information asymmetry, and capacity constraint will be modeled and analyzed. This book will help readers better understand operations management in dual-channel supply chain contexts with risk-averse behaviors, and will also provide effective techniques and tools for researchers and offer managerial insights for practitioners.

Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools. Topics discussed include: Background and key elements of support vector machines and applications in chemistry and biotechnology Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets The kernel function for solving nonlinear problems by using a simple linear transformation method Ensemble learning of support vector machines Applications of support vector machines to near-infrared data Support vector machines and quantitative structure-activity/property relationship (QSAR/QSPR) Quality control of traditional Chinese medicine by means of the chromatography fingerprint technique The use of support vector machines in exploring the biological data produced in OMICS study Beneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.

With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer.

This Mandarin Chinese Dictionary is for elementary to intermediate learners of Chinese Tuttle Learner's Chinese-English Dictionary is a totally new dictionary designed specifically for elementary to intermediate learners of Chinese and contains all 3,051 vocabulary items prescribed for Levels A and B of the internationally recognized test of Mandarin language proficiency, Hanyu Shuiping Kaoshi (HSK). This self-contained dictionary has over 5,000 headwords-those required for HSK Levels A and B, plus important proper nouns and common idioms. Extensive notes on culture, grammar and meaning are included to enhance understanding and ensure correct usage. Students attempting to learn Chinese will find this dictionary to be an essential guide to the Chinese language as well as a reliable reference tool. This Chinese dictionary contains: The 5,000+ most frequently used Chinese vocabulary items. All entries contain Romanized Chinese forms (hanyu pinyin), simplified Chinese characters (hanzi) as well as traditional Chinese characters if they exist. Terms are searchable by Chinese-English or English-Chinese. All Chinese entries are arranged alphabetically by Romanized Mandarin Chinese forms (hanyu pinyin). Chinese word components are listed and analyzed to facilitate understanding. Over 3,500 sample sentences to demonstrate how each word is used. Detailed notes on culture, grammar and usage. Chinese translations for common English names and places in China.

Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools. Topics discussed include: Background and key elements of support vector machines and applications in chemistry and biotechnology Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets The kernel function for solving nonlinear problems by using a simple linear transformation method Ensemble learning of support vector machines Applications of support vector machines to near-infrared data Support vector machines and quantitative structure-activity/property relationship (QSAR/QSPR) Quality control of traditional Chinese medicine by means of the chromatography fingerprint technique The use of support vector machines in exploring the biological data produced in OMICS study Beneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.

This brief explores the Krasnosel'skii-Man (KM) iterative method, which has been extensively employed to find fixed points of nonlinear methods.

This is the most up-to-date Mandarin Chinese Dictionary available today. Tuttle Concise Chinese Dictionary has both Chinese to English and English to Chinese sections. Its compact size allows for easy transport without limiting the content. This Mandarin dictionary is perfect for Chinese language students, or business people and tourists traveling to China who wish to learn Chinese. It contains over 25,000 words and expressions (including all the required words for the official HSK Chinese Proficiency Examination), carefully selected to cover all important aspects of life and commerce in China. In addition, extensive information on Chinese grammar and Mandarin pronunciation are included. This Chinese dictionary contains the following features: 25,000 Chinese words and expressions. Chinese-English and English-Chinese sections Up-to-date local Chinese slang and idioms. A guide to Mandarin pronunciation and Chinese Grammar. An explanation of Mandarin tones and syllables. An introduction to writing Chinese and stroke order. Radical and stroke indexes for easy reference. All the Chinese vocabulary included in the HSK language examinations. Romanized forms (hanyu pinyin) including tones for accurate pronunciation. Extensive notes with detailed tips on usage and social context. Parts of speech, common phrases and idiomatic expressions. Other dictionaries in this bestselling series you might be interested in include: Concise Japanese Dictionary, Concise Korean Dictionary, and Concise Vietnamese Dictionary.

The Tuttle Pocket Mandarin Chinese Dictionary is a pocket-sized dictionary designed for travelers, business people and beginner Chinese language students. It contains all the most common Chinese vocabulary you will need. This new edition has been extensively revised and expanded to include over 20,000 entries. A reference guide to the essentials of Chinese grammar and pronunciation are provided to ensure you will be understood when speaking.