Molecular Quantum Mechanics

Molecular Quantum Mechanics established itself as a classic as soon as the original edition appeared. Maintaining the important and essential spirit of the earlier editions, this third edition remains in the forefront of its field. The book has been entirely rewritten to present the subjectmore clearly than ever before, and the use of two-color art helps to make the text even more accessible. The text remains unique in the range of topics it covers, from the foundations of quantum mechancis to applications such as spectroscopy and the electric and magnetic properties of matter. Twoentirely new chapters have been added to this third edition. One is an introduction to computational techniques in quantum chemistry and the other is an introduction on scattering theory. Anyone teaching courses using quantum mechanics, particularly quantum chemistry, will not only find this volumeauthoritative but highly approachable as well. This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a step-by-step manner, and offers remarks and warnings for deeper insights. The chapters include basic examples, which are revisited as the new concepts are introduced. To aid learning, figures and diagrams are used to help readers grasp the concepts, and the solutions to the exercises and problems. Further, a table format is also used where relevant for better comparison of the ideas and formulae. The first part of the book introduces readers to the essentials of probability, including combinatorial analysis, conditional probability, and discrete and continuous random variable. The second part then covers fundamental stochastic processes, including point, counting, renewal and regenerative processes, the Poisson process, Markov chains, queuing models and reliability theory. Primarily intended for undergraduate engineering students, it is also useful for graduate-level students wanting to refresh their knowledge of the basics of probability and stochastic processes.