Böcker av Kai Wang

Immerse yourself in the age-old tradition of Chinese Knotting with our comprehensive guide. Uncover the beauty and symbolism behind each knot as you progress from basic techniques to advanced projects. This book is your gateway to mastering an ancient craft, allowing you to create stunning and culturally significant pieces. Key Features: History and Significance: Delve into the rich history of Chinese Knotting, understanding the cultural symbolism woven into each intricate design.Essential Tools and Materials: Equip yourself with the necessary tools and materials to embark on your knotting journey, ensuring a seamless crafting experience.Step-by-Step Instructions: Follow clear and detailed step-by-step instructions accompanied by illustrations to master foundational knots and advanced techniques.Projects for All Levels: Engage in a variety of projects suitable for beginners to advanced practitioners. From elegant accessories to intricate wall hangings, there's a project to match every skill level.Elevate Your Craft: Whether you're a novice seeking to learn the basics or an experienced knotter looking to refine your skills, "The Art of Chinese Knotting" is your go-to guide. Unleash your creativity, infuse cultural richness into your creations, and become a master of this timeless art form.Discover the artistry behind Chinese Knotting and transform simple strings into exquisite, culturally inspired masterpieces.click the buy button to get your copy today

This SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison studies in recent years. This SpringerBrief offers a list of promising future research directions of performing CSS over large HINs.The authors first classify the existing works of CSS over HINs according to the classic cohesiveness metrics such as core, truss, clique, connectivity, density, etc., and then extensively review the specific models and their corresponding search solutions in each group. Note that since the bipartite network is a special case of HINs, all the models developed for general HINs can be directly applied to bipartite networks, but the models customized for bipartite networks may not be easily extended for other general HINs due to their restricted settings. The authors also analyze and compare these cohesive subgraph models (CSMs) and solutions systematically. Specifically, the authors compare different groups of CSMs and analyze both their similarities and differences, from multiple perspectives such as cohesiveness constraints, shared properties, and computational efficiency. Then, for the CSMs in each group, the authors further analyze and compare their model properties and high-level algorithm ideas.This SpringerBrief targets researchers, professors, engineers and graduate students, who are working in the areas of graph data management and graph mining. Undergraduate students who are majoring in computer science, databases, data and knowledge engineering, and data science will also want to read this SpringerBrief.

A practical introduction to state-of-the-art freeform optics design for LED packages and applications By affording designers the freedom to create complex, aspherical optical surfaces with minimal or no aberrations, freeform design transcends the constraints imposed by hundreds of years of optics design and fabrication.