This book is a result of the SERC School on Computational Statistical Physics, held at the Indian Institute of Technology, Guwahati. Numerical experimentation has played an extremely important role in statistical physics in recent years. Lectures given at the school covered a large number of topics of current and continuing interest. Based on lectures by active researchers in the fieldBikas Chakrabarti, Samrath Lal Chaplot, Deepak Dhar, Sanjay Kumar, Prabal Maiti, Sanjay Puri, Purusattam Ray, Sitangshu Santra, and Subir Sarkarthe book's nine chapters deal with topics that range from the fundamentals of the field to problems and questions that are at the very forefront of current research. This book aims to expose graduate students to basic as well as advanced techniques in computational statistical physics. Following a general introduction to statistical mechanics and critical phenomena, the various chapters cover Monte Carlo and molecular dynamics simulation methodology, along with a variety of applications. These include the study of coarsening phenomena and diffusion in zeolites. In addition, graphical enumeration techniques are covered in detail, with applications to percolation and polymer physics. Methods for optimization are also discussed. Beginning graduate students and young researchers in the area of statistical physics will find this book useful. In addition, it will also be a valuable general reference for students and researchers in other areas of science and engineering. A publication of Hindustan Book Agency; distributed within the Americas by the American Mathematical Society. Maximum discount of 20% for all commercial channels. Table of Contents  S. B. Santra and P. Ray  Statistical mechanics and critical phenomena: A brief overview
 D. Dhar  Graphical enumeration techniques: Series expansions and animal problems
 S. Kumar  Graphical enumeration techniques: Application to polymers
 S. B. Santra and P. Ray  Classical Monte Carlo simulation
 S. Puri  Kinetics of phase transitions: Numerical techniques and simulations
 H. Kumar and P. K. Maiti  Introduction to molecular dynamics simulation
 S. Mitra and S. L. Chaplot  Applications of molecular dynamics simulations
 S. K. Sarkar  The conjugate gradient method for unconstrained minimization
 A. K. Chandra and B. K. Chakrabarti  Optimization and quantum annealing
 List of authors
 Index
