Description
This advanced monograph provides a rigorous treatment of stochastic processes, optimization, and control theory with emphasis on practical applications across multiple domains. The text comprehensively covers theoretical foundations including Markov chains, martingales, and stochastic calculus, while demonstrating their relevance to contemporary problems in finance and operations.
Readers will explore applications in financial engineering including portfolio optimization and derivative pricing, queueing network analysis for service systems, and manufacturing system optimization. The work integrates classical results with modern computational approaches, offering both mathematical rigor and practical insights.
Ideal for graduate students and researchers in applied mathematics, operations research, and financial engineering, this hardcover edition serves as both a reference text and a practical guide to implementing stochastic methods in complex real-world systems.
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