Annual Reviews of Computational Physics VI
The sixth volume of the series covers topics ranging from the generation of good random numbers to statistical physics, quantum mechanics, quantum computers and polymers, to protein folding and immunology simulations. It should thus be of interest not only to computational physicists but also to experts in computer science as well as theoretical biology.
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PowerLaw Sensitivity to Initial Conditions
Monte Carlo Simulations of Interfaces in Polymer Blends
The GeneralizedEnsemble Approach for Protein Folding Simulations
U H E Hansmann and Y Okamoto
New Trends in PseudoRandom Number Generation
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antigen applied approximation attractor behavior binary blend buffer calculations cells cellular automata chain length Chem classical clusters complex configurations copolymer correlation corresponding critical density described distribution dynamical systems effect encoded energy ensemble entropic index entropy equation error correction experimental exponential factor fluctuations Fourier transform function gates generalized-ensemble homopolymer immune response immune system input integer interactions interface interfacial tension lagged Fibonacci lags lattice LCG's leading bits length scales Lett Macromolecules measure methods modulus monomers Monte Carlo multicanonical nonextensive obtained operation output parameter Peptide period phase Phys physical polymer polynomial potential probability problem profiles properties protein protein folding quantum algorithm quantum circuits quantum computation quantum gates qubits random numbers RANSHI semi-grandcanonical sensitivity to initial sequence Shor's algorithm simulation space statistical Stauffer structure temperature theory thermodynamic Toffoli gate trailing bits transition Tsallis Turing machine unitary unitary matrix vector