Wiley-VCH - Mathematics

1. Financial Literacy for All

   A new approach to understanding money and achieving financial fulfillment Former Vice-Chairman of the U.S. President's Advisory Council on Financial Literacy, John Hope Bryant, delivers an accessible and powerful resource for everyday Americans seeking to build a strong financial foundation. This book is an easy-to-read first step toward a fulfilling financial future, helping you understand your relationship to work and money, and a key component to untangling the surprisingly simple puzzle of personal finance. With an insightful forward by Doug McMillon, President and CEO of Walmart Inc., you'll learn how to create wealth for yourself and your family, regardless of your educational or employment background, and how to establish a financial mindset that contributes to a sound future. You'll also discover: * The answers to tough money questions, including the actual utility of new financial inventions like cryptocurrency * How to think about exchanging your time and effort for money and the conditions under which you should agree to work * Plain-English discussions of the principles of responsible long-term investing and how it differs from speculation Acting as a critical pillar for those seeking to build a rock-solid financial foundation, Financial Literacy for All is a must-have book for working professionals, blue-collar workers, members of young families, and established businesspeople looking for a better, more secure future for themselves and the ones they care about. [224 Pages, Hardcover] Read More...

   
   
   
2. Magnetospheric MHD Oscillations

   The book summarises the theory of magnetohydrodynamic waves in Earth's magnetosphere and provides an extension that allows for an accurate interpretation of data acquired by current and future satellite missions. [448 Pages, Hardcover] Read More...

   
   
   
3. Metaheuristics for Machine Learning

   METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You'll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. Audience The book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms. [352 Pages, Hardcover] Read More...

   
   
   
4. Measuring ESG Effects in Systematic Investing

   A unique perspective on the implications of incorporating ESG considerations in systematic investing In Integrating ESG in Systematic Investing, a team of authors from Barclays' top-ranked Quantitative Portfolio Strategy group (ranked #1 by Institutional Investor in its 2022 Global Fixed Income Research Survey in both the US and Europe) delivers an insightful and practical discussion of how to reflect ESG considerations in systematic investing. The authors offer a cross-asset class perspective--incorporating both credit and equity markets in the United States, Europe, and China--a unique coverage scope amongst books on this subject. They discuss the interaction between ESG ratings and various other security characteristics, suggest a methodology for isolating the ESG-specific risk premia, analyse the impact of an ESG tilt on systematic strategies and risk factors, and identify several ESG-based signals that are predictive of future performance. You'll also discover: * Analysis of companies in the process of improving their ESG ranking ("ESG improvers") vs. firms with best-in-class ESG ratings * A study using natural language processing (NLP) to predict changes in corporate ESG rankings from company job postings for sustainability-related positions * In-depth explorations of ESG equity fund performance and flows and the information content of ESG ratings dispersion across several providers Perfect for portfolio managers including non-quantitative, fundamental investors, risk managers, and research analysts at financial institutions such as asset managers, pension funds, banks, sovereign wealth funds, hedge funds, and insurance companies, Integrating ESG in Systematic Investing is also a must-read resource for academics with a research interest in the performance and risk implications of ESG investing. [416 Pages, Hardcover] Read More...

   
   
   
5. BWL-Formeln für Dummies

   Wie errechnete man noch gleich den Break-Even Point? Oder den internen Zinsfuß? In diesem handlichen Nachschlagewerk finden Sie die gesuchte Formel und zugleich ein anschauliches Anwendungsbeispiel und eine Erklärung, wie und wofür sie eingesetzt wird. [250 Pages, Softcover] Read More...