𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Numerical simulation in molecular dynamics. Numerics, algorithms, parallelization

✍ Scribed by Michael Griebel, Stephan Knapek, Gerhard Zumbusch


Publisher
Springer
Year
2007
Tongue
English
Leaves
472
Series
Texts in Computational Science and Engineering
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects


Π€ΠΈΠ·ΠΈΠΊΠ°;ΠœΠ°Ρ‚ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ ΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π² Ρ„ΠΈΠ·ΠΈΠΊΠ΅;


πŸ“œ SIMILAR VOLUMES


Numerical Simulation in Molecular Dynami
✍ Michael Griebel, Gerhard Zumbusch, Stephan Knapek (auth.) πŸ“‚ Library πŸ“… 2007 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p><P>Particle models play an important role in many applications in physics, chemistry and biology. They can be studied on the computer with the help of molecular dynamics simulations. This book presents in detail both the necessary numerical methods and techniques (linked-cell method, SPME-method,

Parallel Numerical Algorithms
✍ T. L. Freeman, C. Phillips πŸ“‚ Library πŸ“… 1992 πŸ› Prentice Hall 🌐 English

With the increasing use of more powerful multiprocessor computer systems comes the need to develop parallel implementations of numerical methods which were originally developed for use with uniprocessors. Focusing on shared and local memory MIMD parallel computer systems, this volume is designed to

Parallel Numerical Algorithms
✍ David E. Keyes (auth.), David E. Keyes, Ahmed Sameh, V. Venkatakrishnan (eds.) πŸ“‚ Library πŸ“… 1997 πŸ› Springer Netherlands 🌐 English

<p>In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspectiv

Parallel numerical algorithms
✍ Keyes, David E.; Sameh, Ahmed; Venkatakrishnan, V (eds.) πŸ“‚ Library πŸ“… 1997 πŸ› Springer 🌐 English

In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspective t

Numerical Simulation in Fluid Dynamics:
✍ Michael Griebel, Thomas Dornsheifer, Tilman Neunhoeffer πŸ“‚ Library πŸ“… 1997 πŸ› SIAM: Society for Industrial and Applied Mathemati 🌐 English

<span>In this translation of the German edition, the authors provide insight into the numerical simulation of fluid flow. Using a simple numerical method as an expository example, the individual steps of scientific computing are presented: the derivation of the mathematical model; the discretization