Most existing books on evolution equations tend either to cover a particular class of equations in too much depth for beginners or focus on a very specific research direction. Thus, the field can be daunting for newcomers to the field who need access to preliminary material and behind-the-scenes detail. Taking an applications-oriented, conversation

Mark A. McKibben is a professor of mathematics and computer science at Goucher College. He serves as a referee for more than 30 journals and has published numerous articles in peer-reviewed journals. Dr. McKibben earned a Ph.D. in mathematics from Ohio University. His research interests include nonlinear and stochastic evolution equations.

A Basic Analysis Toolbox. The Bare-Bone Essentials of Probability Theory. Linear Homogenous Stochastic Evolution Equations in R. Homogenous Linear Stochastic Evolution Equations in RN. Abstract Homogenous Linear Stochastic Evolution Equations. Nonhomogenous Linear Stochastic Evolution Equations. Semi-Linear Stochastic Evolution Equations. Functional Stochastic Evolution Equations. Sobolev-Type Stochastic Evolution Equations. Beyond Volume 2. Bibliography. Index.