Theory and Applications of Stochastic Processes

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Focusing on the intersection of probability theory and applied mathematics, this book demonstrates how to express various problems through differential, difference, integral, and partial differential equations. It provides a comprehensive guide to solving these equations using approximation methods, making complex concepts accessible to readers interested in mathematical applications in probability.