计算物理学（第二版 英文版） 出版时间：2011年版 内容简介 This Second Edition has been fully updated. The wide range oftopics covered inthe First Edition has been extended with newchapters on finite element methodsand lattice Boltzmann simulation.New sections have been added to the chapters ondensity functionaltheory， quantum molecular dynamics， Monte Carlo simulationanddiagonalisation of one-dimensional quantum systems.The book covers many different areas of physics research anddifferent computa-tional methodologies， with an emphasis oncondensed matter physics and physicalchemistry. It includescomputational methods such as Monte Carlo and moleculardynamics，various electronic structure methodologies， methods for solvingpar-tial differential equations， and lattice gauge theory.Throughout the book， therelations between the methods used indifferent fields of physics are emphas-ised. Several new programsare described and these can be downloadedfromwww.cambridge.org/9780521833462The book requires a background in elementary programming，numerical analysisand field theory， as well as undergraduateknowledge of condensed matter theoryand statistical physics. Itwill be of interest to graduate students and researchersintheoretical， computational and experimental physics.Jos THIJSSENis a lecturer at the Kavli Institute of Nanoscience at DelftUniversityof Technology. 目录 preface to the first edition preface to the second edition 1 introduction 1.1 physics and computational physics 1.2 classical mechanics and statistical mechanics 1.3 stochastic simulations 1.4 electrodynamics and hydrodynamics 1.5 quantum mechanics 1.6 relations between quantum mechanics and classical statisticalphysics 1.7 quantum molecular dynamics 1.8 quantum field theory 1.9 about this book exercises references 2 quantum scattering with a spherically symmetric potential 2.1 introduction 2.2 a program for calculating cross sections 2.3 calculation of scattering cross sections exercises references 3 the variational method for the schr'odinger equation 3.1 variational calculus 3.2 examples of variational calculations 3.3 solution of the generalised eigenvalue problem 3.4 perturbation theory and variational calculus exercises references 4 the hartree-fock method 4.1 introduction 4.2 the bom-oppenheimer approximation and the independent-particlemethod 4.3 the helium atom 4.4 many-electron systems and the slater determinant 4.5 self-consistency and exchange: hartree-fock theory 4.6 basis functions 4.7 the structure of a hartree-fock computer program 4.8 integrals involving gaussian functions 4.9 applications and results 4.10 improving upon the hartree-fock approximation exercises references 5 density functional theory 5.1 introduction 5.2 the local density approximation 5.3 exchange and correlation: a closer look 5.4 beyond dft: one- and two-particle excitations 5.5 a density functional program for the helium atom 5.6 applications and results exercises references 6 solving the schriodinger equation in periodic solids 6.1 introduction: definitions 6.2 band structures and bloch's theorem 6.3 approximations 6.4 band structure methods and basis functions 6.5 augmented plane wave'methods 6.6 the linearised apw (lapw) method 6.7 the pseudopotential method 6.8 extracting information from band structures 6.9 some additional remarks 6.10 other band methods exercises references 7 classical equilibrium statistical mechanics 7.1 basic theory 7.2 examples of statistical models; phase transitions 7.3 phase transitions 7.4 determination of averages in simulations exercises references 8 Molecular dynamics simulations 8.1 introduction 8.2 molecular dynamics at constant energy 8.3 a molecular dynamics simulation program for argon 8.4 integration methods: symplectic integrators 8.5 molecular dynamics methods for different ensembles 8.6 molecular systems 8.7 long-range interactions 8.8 langevin dynamics simulation 8.9 dynamical quantities: nonequilibrium molecular dynamics exercises references 9 quantum molecular dynamics 9.1 introduction 9.2 the molecular dynamics method 9.3 an example: quantum molecular dynamics for the hydrogenmolecule 9.4 orthonormalisation; conjugate gradient and rm-diistechniques 9.5 implementation of the car-parrinello technique forpseudopotential dft exercises references 10 the monte carlo method 10.1 introduction 10.2 monte carlo integration 10.3 importance sampling through markov chains 10.4 other ensembles 10.5 estimation of free energy and chemical potential 10.6 further applications and monte carlo methods 10.7 the temperature of a finite system exercises references 11 transfer matrix and diagonalisation of spin chains 11.1 introduction 11.2 the one-dimensional ising model and the transfer matrix 11.3 two-dimensional spin models 11.4 more complicated models 11.5 'exact' diagonalisation of quantum chains 11.6 quantum renormalisation in real space 11.7 the density matrix renormalisation group method exercises references 12 quantum monte carlo methods 12.1 introduction 12.2 the variational monte carlo method 12.3 diffusion monte carlo 12.4 path-integral monte carlo 12.5 quantum monte carlo on a lattice 12.6 the monte carlo transfer matrix method exercises references 13 the finite element method for partial differentialequations 13.1 introduction 13.2 the poisson equation 13.3 linear elasticity 13.4 error estimators 13.5 local refinement 13.6 dynamical finite element method 13.7 concurrent coupling of length scales: fem and md exercises references 14 the lattice boltzmann method for fluid dynamics 14.1 introduction 14.2 derivation of the navier-stokes equations 14.3 the lattice boltzmann model 14.4 additional remarks 14.5 derivation of the navier-stokes equation from the lattice boltzmann model exercises references 15 computational methods for lattice field theories 15.1 introduction 15.2 quantum field theory 15.3 interacting fields and renormalisation 15.4 algorithms for lattice field theories 15.5 reducing critical slowing down 15.6 comparison of algorithms for scalar field theory 15.7 gauge field theories exercises references 16 high performance computing and parallelism 16.1 introduction 16.2 pipelining 16.3 parallelism 16.4 parallel algorithms for molecular dynamics references Appendix a numerical methods A1 about numerical methods A2 iterative procedures for special functions A3 finding the root of a function A4 finding the optimum of a function A5 discretisation A6 numerical quadratures A7 differential equations A8 linear algebra problems A9 the fast fourier transform exercises references appendix b random number generators B1 random numbers and pseudo-random numbers B2 random number generators and properties of pseudo-randomnumbers B3 nonuniform random number generators exercises references index
