Newsfeeds
Wiley-VCH - Mathematics
A Passion for Publishing
-
Advanced Mathematics in Computing, Communication and Security
Explore the cutting edge of scientific computing with this volume, which provides a comprehensive look at the interdependency between mathematics and computer science. Within the evolving landscape of computer science, mathematics is increasingly playing a pivotal role. Disciplines like linear algebra, statistics, calculus, and discrete mathematics serve as the cornerstone for comprehension and innovation within various computer science domains. This book underscores the deep-seated interdependency between the realms of mathematics and scientific computing, exploring how each discipline mutually reinforces and advances the other. With its rich theoretical framework and analytical rigor, mathematics provides the bedrock upon which many computational concepts and methodologies are built. In turn, computer science offers a practical avenue for applying mathematical abstractions to tackle real-world problems efficiently and effectively. Cutting-edge technologies, such as scientific computing, deep learning, and computer vision, require not only a mastery of foundational mathematics, but a diverse interdisciplinary approach. This book sheds light on the burgeoning frontiers of computer science, bringing together researchers with expertise across multiple industries, making it an essential resource for beginners and experienced practitioners alike. [576 Pages, Hardcover]
Read More...
-
Graph Convolutional Neural Networks for Computer Vision
Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs. In the last decade, computer vision has become a major focus for addressing the world's growing processing needs. Many existing deep learning architectures for computer vision challenges are based on convolutional neural networks (CNNs). Despite their great achievements, CNNs struggle to encode the intrinsic graph patterns in specific learning tasks. In contrast, graph convolutional networks have been used to address several computer vision issues with equivalent or superior results. The use of GCNNs has shown significant achievement in image classifications, video understanding, point clouds, meshes, and other applications in natural language processing. This book focuses on the applications of graph convolutional networks in computer vision. Through expert insights, it explores how researchers are finding ways to perform convolution algorithms on graphs to improve the way we use machine learning. [304 Pages, Hardcover]
Read More...
-
Monster Transformation
A hands-on approach to preparing your company for AI-powered digital transformation In Monster Transformation: Conquer Your Digital Fears, Be AI Ready, and Focus on What Matters to Your Organization, a team of veteran digital leaders delivers an expert framework to digital transformation that focuses on the competencies your employees will need to have--and develop--to enable your organization to function in a world defined by generative artificial intelligence. Monster Transformation blends actionable insights, real-world case studies, and immediately recognizable organizational behaviors that can either move forward or derail transformation in the age of AI. Whether you are leading, a part of, supporting or interested in organizational transformation, this book challenges conventional thought on dealing with transformation, provides insights on how and why barriers to effective change arise and pragmatic mechanisms to address challenges, diminish barriers and leverage employees. You'll also find: * Examples of transformation blockers and obstacles, as well as the steps you need to take to eliminate and overcome them * Real-world insights from interviews with transformation leaders across industries and organizational layers * 10 incisive case studies from well-known brands including Ferrari, Instacart, Patagonia, Brooks Running, and Calm, hands-on scenarios, chapter exercises, and actionable takeaways you can apply immediately at your own organization Perfect for managers, executives, and other business leaders, Monster Transformation offers a practical approach for implementing the world's newest, most exciting technologies in your company. With a foreword by Shellye Archambeau, bestselling author of Unapologetically Ambitious, Monster Transformation is a no-BS humanistic take on how organizations can adapt and thrive in a chaotic and turbulent environment. [352 Pages, Hardcover]
Read More...
-
The Sovereign Debt Investor
Expert overview of the sovereign debt asset class for investors In The Sovereign Debt Investor: An Essential Guide to Returns, Defaults, And Government Bonds, veteran investor and sovereign debt expert Lupin Rahman delivers expert insight into global government debt markets, highlighting the unique risks and compelling opportunities of this asset class. This book bring together expertise from the world of bond investing, policy making, academia and law to which bring to life specific issues and intricacies in sovereign debt investing. In this book, readers will learn about: * Instruments (bonds and derivatives) and vehicles (mutual funds, separate accounts) available for investing in sovereign debt * Sovereign credit risk analysis and what factors help identify "winners" and "losers" * Key factors in building sovereign debt portfolios * Recent changes in the asset class spurred by international financial trends, geopolitics, and global trends such as tackling climate change. Delivering both foundational knowledge on sovereign debt and a review of the tools and strategies needed to generate and protect investment returns, The Sovereign Debt Investor: An Essential Guide to Returns, Defaults, And Government Bonds, earns a well-deserved spot on the bookshelves of portfolio and asset managers, institutional investors, economic policymakers and academics. [336 Pages, Hardcover]
Read More...
-
Graph Theory for Computer Science
This book is a vital resource for anyone looking to understand the essential role of graph theory as the unifying thread that connects and provides innovative solutions across a wide spectrum of modern computer science disciplines. Graph theory is a traditional mathematical discipline that has evolved as a basic tool for modeling and analyzing the complex relationships between different technological landscapes. Graph theory helps explain the semantic and syntactic relationships in natural language processing, a technology behind many businesses. Disciplinary and industry developments are seeing a major transition towards more interconnected and data-driven decision-making, and the application of graph theory will facilitate this transition. Disciplines such as parallel and distributive computing will gain insights into how graph theory can help with resource optimization and job scheduling, creating considerable change in the design and development of scalable systems. This book provides comprehensive coverage of how graph theory acts as the thread that connects different areas of computer science to create innovative solutions to modern technological problems. Using a multi-faceted approach, the book explores the fundamentals and role of graph theory in molding complex computational processes across a wide spectrum of computer science. [576 Pages, Hardcover]
Read More...