《朗道理论物理学教程 第 10 卷：物理动力学》是本套教材的最后一卷。主要内容包括：气体动力学、扩散近似、无碰撞等离子体、等离子体的碰撞、磁性场中的等离子体、不稳定理论、电介质、量子液体、金属、非平衡系统图解法、超导体和相变动力学。本套教程附有大量的例题和习题，是大学物理系师生和理论物理学工作者必备的重要参考书

《朗道理论物理学教程 第 8 卷：连续介质电动力学 （第 2 版）》涉及主题广泛，系统地介绍了连续介质的电磁场理论以及物质宏观电学和磁学性质相关的理论。主要内容包括：导体的经典学、电解质的经典学、恒定电流、恒定磁场、铁磁性、超导电性、准静态的电磁场、电磁流体力学、电磁波方程、电磁波的传播、各向异性媒质内的电磁波、快速粒子通过物质、电磁起伏现象、电磁波的散射和晶体内伦琴射线的衍射。本套教程附有大量的例题和习题，是大学物理系师生和理论物理学工作者必备的重要参考书。

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本书以近代著名的几位物理学家的原始文献为依据精心编写而成，着力阐述量子力学基本概念的形成和发展。这些基本概念包括Planck量子论、Einstein光量子、Bohr氢原子理论、de Broglie物质波、Heisenberg矩阵力学、Dirac量子泊松括号、Schr dinger波动力学、Born波函数统计解释、Heisenberg不确定关系、Pauli不相容原理、量子力学哥本哈根解释、EinsteinPodolskyRosen佯谬和量子纠缠。附录介绍了主要物理学家的科学贡献和原始性创新的思维方式。本书是中国大学慕课“量子力学基础”的教材，可作为（综合、理工、师范类）高等院校量子力学、近代物理学和原子物理学课程的补充资料，也可作为相关科研和教学人员的参考用书。

《朗道理论物理学教程 第 3 卷：量子力学（非相对论理论）（第 3 版）》从量子力学重要的基本概念入手，以简洁清晰的逻辑叙述和缜密的数学推导阐述量子力学相关理论。本书主要内容包括： 能量和动量、薛定谔方程、角动量、有心力场中的运动、微扰理论、准经典情形、自旋、粒子的全同性、原子、双原子分子、对称性理论、多原子分子、角动量的相加、磁场中的运动、核结构、弹性碰撞和非弹性碰撞。本套教程附有大量的例题和习题，是大学物理系师生和理论物理学工作者的重要参考书。

《朗道理论物理学教程 第 9 卷：统计物理学 第 2 册》系统地阐述了凝聚态物质的量子理论。主要内容包括：正常费液体、T=0时费米系统的格林函数、超流性、有限温度时的格林函数、超导性、晶格中的电子、磁性、电磁涨落和流体动力学涨落。本套教程附有大量的例题和习题，是大学物理系师生和理论物理学工作者必备的重要参考书。

《朗道理论物理学教程 第 2 卷：经典场论 （第 4 版）》以简洁清晰的逻辑叙述和缜密的数学推导阐述经场论相关理论。本书的主要内容包括相对论原理，相对性力学，电磁场中的电荷，电磁场方程，恒定电磁场，电磁波，光的传播，运动电荷的场，电磁波辐射，引力场中的粒子，引力场方程，引力物体的长，引力波和相对论宇宙学。本套教程附有大量的例题和习题，是大学物理系师生和理论物理学工作者必备的重要参考书。

《朗道理论物理学教程 第 5 卷：统计物理学 第 1 册 （第 3 版）》是以吉布斯方程理论为基础来讨论大量单个粒子构成的物体的性质和行为所遵循的统计规律性，本书对统计物理与热力学一起展开了讨论。本书主要内容包括：统计物理学的基本原理、热力学量、吉布斯分布、理想气体、费米分布和玻色分布、凝聚体、非理想气体和相平衡、溶液、化学反应、高密度物质的性质、涨落、晶体的对称性、二级相变与临界现象和表面。本套教程附有大量的例题和习题，是大学物理系师生和理论物理学工作者必备的重要参考书。

《朗道理论物理学教程 第 7 卷：弹性力学 （第 3 版）》本书系统的介绍了弹性理论的基本概念和研究方法。本书从弹性理论的基本方程入手，介绍了杆和板的平衡理论、弹性波、位错，还介绍了固体的热传导和黏性和液晶力学相关内容。本套教程附有大量的例题和习题，是大学物理系师生和理论物理学工作者必备的重要参考书。

Another 15 years have gone by since the second edition of this text appeared.During this period，the rate of development in algorithms has slowed compared to any earlier period，but the increase in computational power has been astounding and shows no sign of slowing.Desktop computers can outperform the supercomputers of the early 1990s.The rate ofimprovement of computing power is such that a problem that required a year of computing time to solve 10 years ago can now be solved overnight.The increase in computing power has enabled engineers to solve more complete equa-tions and complex geometries for aerodynamic flows，i.e.，use less physical modeling and fewer approximations.It has also motivated efforts to compute more complex physical phenomena such as turbulence and multiphase fiows.Another clear trend is the increasing use of commercial software for computational fiuid dynamics （CFD） applications.In the early days，CFD was mostly a do-it-yourself enterprise.It is more likely now that a CFD code is thought of as representing a large investment，and companies do not launch into writ-ing a new one without considerable thought.lt is more likely that CFD engineers will become involved in modifying or extending an existing code than in writing a new code from scratch. However，even making modifications to CFD codes requires knowledge of algorithms，general numerical strategies，and programming skills.The text promotes programming skills by explaining algorithm details and including homework problems that require programming.Even those engineers that will utilize com-mercial codes and be responsible for interpreting the results will be better prepared as a result of the knowledge and insight gained from developing codes themselves.It is very important for engineers to know the limitations of codes and to recognize when the results are not plausible.This will not change in the future.The experience gained by writing and debugging codes will contribute toward the matu-rity needed to wisely use and interpret results from CFD codes.It is essential that courses evolve as technology advances and new knowledge comes forth.However，not every new twist will have a permanent impact on the discipline，Fads die out，and some numerical approaches will become obsolete as computing power relentlessly advances.The authors have included a number of new developments in this edition while preserving the funda-mental elements of the discipline covered in earlier editions.A number ofideas and algorithms that are now less frequently utilized due to advances in computer hardware or numerical algorithms are retained so that students and instructors can gain a historical perspective of the discipline.Such material can be utilized at the discretion of the instructor.Thirty-four new homework problems have been added bringing the total number of homework problems to 376.We have retained the two-part，ten-chapter format of the text.Additions and clarifications have been made in all chapters.Part I，consisting of Chapters 1 through 4，deals with the basic concepts and fundamentals of the finite-difference and finite-volume methods.The historical perspective in Chapter 1 has been expanded.The sections on the finite-volume method in Chapter 3 have been revised and expanded.The conjugate gradient and generalized minimal residual （GMRES） meth-ods are now discussed in the section on Laplace's equation in Chapter 4.Part II，consisting of Chapters 5 through 10，covers applications to the equations of fluid mechanics and heat transfer.The governing equations are presented in Chapter 5.The equations for magnetohydrodynamic （MHD）flows and the quasi-one-dimensional form of the Euler equations are now included.Turbulencemodeling has been updated.The coverage of large-eddy simulation （LES） has been expanded anddetached eddy simulation （DES） has been introduced.In Chapter 8，the material on the parabolized Navier-Stokes （PNS） equations has been expanded to include methods for handling flow fields withsignificant upstream influences，including large streamwise separated regions.A number of updates and additions are found in Chapter 9.Coverage of Runge-Kutta schemes，residual smoothing，and the lower-upper symmetric Gauss-Seidel （LU-SGS） scheme have been expanded.Some recent vari-ations in time-accurate implicit schemes are also included.