The Handbook of Stochastic Methods covers systematically and in simple language the foundations of Markov systems, stochastic differential equations, Fokker-Planck equations and stochastic master equations. Strong emphasis is placed on systematic approximation methods for solving problems. The practical orientation and broad coverage will appeal to researchers and academics working in theoretical physics, physical chemistry and mathematical finance.

The inclusion of a new chapter on the numerical treatment of stochastic differential equations further enhances the value of the third edition of this classic text for practitioners.

Written for:
Students, practitioners

• A historical introduction
• Probability concepts
• Markov processes
• The Ito and stochastic differential equations
• The Fokker-Planck equation
• Approximation methods for diffusion processes
• Master equations and jump processes
• Spatially distributed systems
• Bistability, metastability, and escape problems
• Simulation of stochastic differential equations