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Wiley-VCH - Mathematics
A Passion for Publishing
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Rewired
The world's most influential management consulting firm, McKinsey & Company, updates and expands its essential guide to AI transformation In the newly revised second edition of Rewired: The McKinsey Playbook on How Leading Companies Win with Technology and AI, five experienced McKinsey leaders deliver an essential and incisive update to their widely read guide to planning and implementing successful Tech & AI transformations. The book walks you through the six capabilities every company must develop to succeed with Tech & AI: transformation roadmapping that targets real value, a talent bench of highly skilled experts, an operating model that allows you to move at pace, a distributed technology environment that is flexible, data embedded throughout your organization, and adoption and scaling that enable solutions to realize meaningful gains. This new edition offers brand new insights into cutting-edge AI solutions--and what it takes to implement them--as well as the new economics of Tech & AI transformations. You'll also discover how to build up the "tech muscles" of your AI transformation leaders, how to develop effective human-AI collaboration models, how to revolutionize software develop with AI agents, and how to industrialize AI so it can safely and effectively scale. Inside the book: * More than 30 real-world case studies and examples of large, established companies that have successfully navigated these sorts of transformations, with deep dives into Toyota, DBS Bank, Freeport-McMoRan, and LATAM Airlines * Comprehensive "how-to" transformation guides and frameworks you can put into practice immediately, including 100 detailed exhibits * Deep dives into the role of leadership at the C-suite and domain levels, as well as practical tips for navigating and avoiding the pitfalls that slow down most transformations Perfect for the C-suite, managers, executives, board members, and other business leaders, Rewired is a must-read playbook for professionals ready to roll up their sleeves and do the hard work necessary to reimagine their company and generate transformational value. [624 Pages, Hardcover]
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Financial Mathematics for Cryptocurrencies
Master the quantitative foundations you need to successfully invest in and trade digital assets Financial Mathematics for Cryptocurrencies by Tom J. Espel combines two of today's most dynamic fields - quantitative finance and cryptocurrencies - in a comprehensive guide that addresses the unique mathematical challenges faced by everyone involved in the crypto markets. Espel draws on his extensive experience in frontier assets to explain the analytical frameworks you'll need to make informed investment decisions, identify pricing opportunities, and manage risk in this volatile asset class. The book adapts relevant quantitative finance methodologies specifically for digital assets, bridging the gap between traditional financial mathematics and the distinctive characteristics of blockchain-based instruments. Espel introduces three essential constructs for DeFi pricing theory: network time, the validator account as a new numéraire, and wrapped token frameworks for cross-chain valuation. Its modular structure allows readers to navigate directly to relevant sections, covering everything from blockchain fundamentals to advanced valuation models, staking contract mathematics, and liquidity cost analysis in cryptocurrency markets. You'll find: * Mathematical frameworks for staking contracts, liquid staking derivatives, and yield farming strategies with rigorous ex-ante and ex-post valuations * Comprehensive coverage of network valuation methods including Metcalfe's Law, Reed's Law, and the ZBOT framework specifically applied to digital assets * Pricing theory extending arbitrage-free pricing to blockchain assets through the validator account and blockchain measure (B-measure) * Expert insights from an author specializing in quantitative strategies for electronic and illiquid assets, with expertise in market microstructure and volatility modeling * Accessible mathematical solutions designed for practitioners in applied mathematics and quantitative finance, with clear and rigorous explanations Perfect for quantitative analysts, traders, portfolio managers, cryptocurrency researchers, and finance students, Financial Mathematics for Cryptocurrencies is an indispensable resource for applying established financial mathematics to the digital asset ecosystem. It's a must-read for everyone developing trading algorithms and pricing models, conducting digital asset analysis, or researching cryptocurrency markets. [288 Pages, Hardcover]
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Differential and Difference Equations with Applications in Queueing Theory
A newly updated and authoritative exploration of differential and difference equations used in queueing theory In the newly revised second edition of Differential and Difference Equations with Applications in Queueing Theory, a team of distinguished researchers delivers an up-to-date discussion of the unique connections between the methods and applications of differential equations, difference equations, and Markovian queues. The authors provide a deep exploration of first principles and a wide variety of examples in applied mathematics and engineering and stochastic processes. This book demonstrates the wide applicability of queuing theory in a range of fields, including telecommunications, traffic engineering, computing, and facility design. It contains brand-new information on partial differential equations as a prerequisite for solving queueing models, as well as sample MATLAB code for addressing these models. Readers will also find: * A large collection of new examples and enhanced end-of-chapter problems with included solutions * Comprehensive explorations of single-server, multiple-server, parallel, and series queue models * Practical discussions of splitting, delayed-service, and delayed feedback * Enhanced treatments of concepts queueing theory, accessible across engineering and mathematics Perfect for junior and up undergraduate, as well as graduate students in electrical and mechanical engineering, Differential and Difference Equations with Applications in Queueing Theory will also benefit students of computer science, mathematics, and applied mathematics. [512 Pages, Hardcover]
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Mathematics in Cybersecurity
Balanced, in-depth exploration of mathematics in cybersecurity, supported by case studies and other learning features With clear and concise explanations, practical examples, case studies, and real-world applications, Mathematics in Cybersecurity is an essential learning aid for readers seeking an understanding of the fundamental concepts in the field. This comprehensive book delves into a wide range of topics, including sets, logic, binary and other number systems, logic gates, combinatorial logic circuits, equations and graphs, linear equations and matrices, sequences and series. Other topics covered include right triangle geometry and trigonometry, exponential and logarithmic equations, probability, statistics, graph theory, and cryptography. The book is an ideal companion resource for courses involving mathematical concepts in cybersecurity. It allows tailoring of the content to meet the needs of career education and online schools, ensuring it is comprehensible to students who may be learning remotely and relying on self-study. Mathematics in Cybersecurity also includes information on: * Discrete math, set theory fundamentals, propositional logic, and number systems and conversions * Digital logic circuits, linear equations and matrices, sequences and recursion, and trigonometry and pre-calculus * Complex numbers, exponential and logarithmic functions, and probability and counting techniques * Graph theory applications and coding for cryptography By adopting a balanced approach that combines traditional and contemporary ideas, Mathematics in Cybersecurity provides a readable and rigorous treatment of the subject matter for aspiring cybersecurity professionals, equipping them with the necessary tools to tackle complex cybersecurity challenges confidently and excel in their field. [512 Pages, Hardcover]
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Generalized Fractional Brownian Motion
[256 Pages, Hardcover]
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