This book presents quantitative models and empirical approaches for designing investment strategies in incomplete financial markets. It bridges stochastic finance, dynamic optimization, and real-world data applications.
This book provides a thorough introduction to probability and statistics with a strong emphasis on mathematical reasoning. The authors explore both theory and practical application, including Bayesian methods and simulation techniques.
This textbook provides essential mathematical tools for physics students, especially at the undergraduate and early graduate levels. It covers linear algebra, differential equations, Fourier series, special functions, and complex analysis with examples.
This book is a comprehensive introduction to the mathematical techniques commonly used in the physical sciences. It covers topics such as calculus, linear algebra, complex variables, differential equations, vector analysis, Fourier analysis, and special functions. It is designed as a textbook for advanced undergraduates and graduate students in physics, chemistry, and engineering