By Luke Czapla, Alexey Siretskiy, John Grime, Malek O. Khan (auth.), Kristján Jónasson (eds.)
The quantity set LNCS 7133 and LNCS 7134 constitutes the completely refereed post-conference lawsuits of the tenth foreign convention on utilized Parallel and medical Computing, PARA 2010, held in Reykjavík, Iceland, in June 2010. those volumes include 3 keynote lectures, 29 revised papers and forty five minisymposia displays prepared at the following subject matters: cloud computing, HPC algorithms, HPC programming instruments, HPC in meteorology, parallel numerical algorithms, parallel computing in physics, clinical computing instruments, HPC software program engineering, simulations of atomic scale structures, instruments and environments for accelerator established computational biomedicine, GPU computing, excessive functionality computing period tools, real-time entry and processing of huge info units, linear algebra algorithms and software program for multicore and hybrid architectures in honor of Fred Gustavson on his seventy fifth birthday, reminiscence and multicore concerns in medical computing - conception and praxis, multicore algorithms and implementations for program difficulties, quick PDE solvers and a posteriori mistakes estimates, and scalable instruments for top functionality computing.
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Additional info for Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part II
32) k=1 In order to decouple (15) into single-particle equations, W has to diagonalize the constraint matrix ∗ k Wki Wkj λij = k , ∗ Wki Wkj . δij = k (33) Optimization of Functionals of Orthonormal Functions 31 This step requires a Hermitian constraint matrix, which is provided either by the symmetrized eqn. (26), or by unitary optimization at each iteration. Expressing the condition for minimal energy (15) in terms of the ψ N yields N N ˆ 0 ψk (r) + Wk i H k =1 N Wk i Vˆi ψk (r) = k =1 λji Wk j ψk (r).
Phys. org/link/JCPSA6/v115/i17/p7832/s1&Agg=doi 16. : Path integrals in quantum mechanics, statistics and polymer physics. World Scientiﬁc, Singapore (1995) 17. : Convergence characteristics of the cumulant expansion for Fourier path integrals. Phys. Rev. E 81, 066707 (2010) 18. : A numerical study of the asymptotic convergence characteristics of partial averaged and reweighted Fourier path integral methods. Int. J. Quant. Chem. 109, 2916 (2009) 19. : Exponential power series expansion for the quantum time evolution operator.
The dramatic rapid convergence of the third-order cumulant approach is evident. 7 Fig. 2. The natural logarithm of the error in the free energy (error = A−Ae ) computed with the asymptotic expression through third cumulant order as a function of the natural logarithm of the Fourier index K. The least-squares computed slope (shown in the form y = b + mx with R the regression coeﬃcient) is consistent with the formal asymptotic convergence rate of K −5 . The scatter of the plotted points reﬂects the statistical ﬂuctuations of the Monte Carlo generated results.