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| Foreword | ||
| Preface | ||
| Convergence rates for Monte Carlo experiments | 1 | |
| Umbrella sampling and simulated tempering | 19 | |
| Monte Carlo study of polymer systems by multiple Markov chain method | 33 | |
| Measuring forces in lattice polymer simulations | 59 | |
| A knot recognition algorithm | 75 | |
| Geometrical entanglement in lattice models of ring polymers: Torsion and writhe | 83 | |
| Oriented self-avoiding walks with orientation-dependent interactions | 99 | |
| A Monte Carlo algorithm for studying the collapse transition in lattice animals | 121 | |
| Monte Carlo simulation of the [Theta]-point in lattice trees | 141 | |
| Molecular dynamics simulations of polymer systems | 159 | |
| Dynamics of polymers near the theta point | 197 | |
| Self diffusion coefficients and atomic mean-squared displacements in entangled hard chain fluids | 203 |
| Price | Condition | Delivery | Seller | Action |
| $127.70 | Digital |
| WonderClub |
Jonathan Heslin
reviewed Numerical Methods for Polymeric Systems, Vol. 102 on July 07, 2016
Numerical Methods for Polymeric Systems, Vol. 102
Not a bad textbook--but definitely not the best. The tables/figures are very helpful.
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Add Numerical Methods for Polymeric Systems, Vol. 102, Polymers occur in many different states and their physical properties are strongly correlated with their conformations. The theoretical investigation of the conformational properties of polymers is a difficult task and numerical methods play an important , Numerical Methods for Polymeric Systems, Vol. 102 to the inventory that you are selling on WonderClubX
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Add Numerical Methods for Polymeric Systems, Vol. 102, Polymers occur in many different states and their physical properties are strongly correlated with their conformations. The theoretical investigation of the conformational properties of polymers is a difficult task and numerical methods play an important , Numerical Methods for Polymeric Systems, Vol. 102 to your collection on WonderClub |