Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including:Which trading issues do we tackle with stochastic volatility?
This book is intended to provide a fast, interdisciplinary introduction to the basic results of p-adic analysis and its connections with mathematical physics and applications.
This text explores the state-of-the-art in the rapidly developing theory of impulse control and introduces the theory of singular space-time transformations, a new method for studying shock mechanical systems.
This peerless reference/text unfurls a unified and systematic study of the two types of mathematical models of dynamic processes-stochastic and deterministic-as placed in the context of systems of stochastic differential equations.
A drawback of standard approaches to try and understand the world of feelings such as love, hate, fear, and anger plus consciousness via quantum concepts results from the old problem that Quantum Theory does not appear to be fully compatible with Einstein's General Theory of Relativity.
Questo libro presenta le basi dell'Analisi Matematica, coprendo il programma dei primi due anni di un corso di studi universitario, dai numeri naturali fino al Teorema di Stokes-Cartan.
Fundamentals of Biochemical Calculations, Second Edition demystifies the fundamental calculations used in modern biochemistry, cell biology, and allied biomedical sciences.
This book elucidates the complexities surrounding measurement uncertainties, offering detailed insights into uncertainty analysis, error propagation, and calibration methodologies.
This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines.
This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications.
This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications.
This book elucidates the complexities surrounding measurement uncertainties, offering detailed insights into uncertainty analysis, error propagation, and calibration methodologies.
Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches.
Elementary Number Theory takes an accessible approach to teaching students about the role of number theory in pure mathematics and its important applications to cryptography and other areas.
Embark on an Intellectual Odyssey: Delve into the Mysteries of the UniversePrepare to journey through the enigmatic realms of theoretical physics with Quivers of Reality: A Journey Through M-Theory and Lie Algebras.
Embark on an Intellectual Odyssey: Delve into the Mysteries of the UniversePrepare to journey through the enigmatic realms of theoretical physics with Quivers of Reality: A Journey Through M-Theory and Lie Algebras.
