Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probability theory can be applied in fields such as engineering, computer science, management...

Introduction to Chemical Graph Theory is a concise introduction to the main topics and techniques in chemical graph theory, specifically the theory of topological indices. These include distance-based, degree-based, and counting-based indices. The book covers some of the most commonly used mathematical...

Just when classic subject areas seem understood, the author, a Caltech, M.I.T. and Boeing trained aerodynamicist, raises profound questions over traditional formulations.  Can shear flows be rigorously modeled using simpler “potential-like” methods versus Euler equation approaches?  Why not solve aerodynamic...

• Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
• Explore deep neural...

• This book demonstrates the shift from OOP to functional programming and covers reactive and functional patterns in a clear and step-by-step manner
• All the design patterns come...

With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather...