15,463 research outputs found

    Large-scale computation of pseudospectra using ARPACK and eigs

    Get PDF
    ARPACK and its MATLAB counterpart, eigs, are software packages that calculate some eigenvalues of a large non-symmetric matrix by Arnoldi iteration with implicit restarts. We show that at a small additional cost, which diminishes relatively as the matrix dimension increases, good estimates of pseudospectra in addition to eigenvalues can be obtained as a by-product. Thus in large-scale eigenvalue calculations it is feasible to obtain routinely not just eigenvalue approximations, but also information as to whether or not the eigenvalues are likely to be physically significant. Examples are presented for matrices with dimension up to 200,000

    Should the DRI Process be Abolished?

    Get PDF

    Do Childhood Vaccines Have Non-Specific Effects on Mortality

    Get PDF
    A recent article by Kristensen et al. suggested that measles vaccine and bacille Calmette–Guérin (BCG) vaccine might\ud reduce mortality beyond what is expected simply from protection against measles and tuberculosis. Previous reviews of the potential effects of childhood vaccines on mortality have not considered methodological features of reviewed studies. Methodological considerations play an especially important role in observational assessments, in which selection factors for vaccination may be difficult to ascertain. We reviewed 782 English language articles on vaccines and childhood mortality and found only a few whose design met the criteria for methodological rigor. The data reviewed suggest that measles vaccine delivers its promised reduction in mortality, but there is insufficient evidence to suggest a mortality benefit above that caused by its effect on measles disease and its sequelae. Our review of the available data in the literature reinforces how difficult answering these considerations has been and how important study design will be in determining the effect of specific vaccines on all-cause mortality.\u

    Computing Lyapunov constants for random recurrences with smooth coefficients

    Get PDF
    In recent years, there has been much interest in the growth and decay rates (Lyapunov constants) of solutions to random recurrences such as the random Fibonacci sequence xn+1=±xn±xn1x_{n+1} = \pm x_{n} \pm x_{n-1}. Many of these problems involve non-smooth dynamics (nondifferentiable invariant measures), making computations hard. Here, however, we consider recurrences with smooth random coefficients and smooth invariant measures. By computing discretised invariant measures and applying Richardson extrapolation, we can compute Lyapunov constants to ten digits of accuracy. In particular, solutions to the recurrence xn+1=xn+cn+1xn1x_{n+1} = x_{n} + c_{n+1} x_{n-1}, where the {cn}\{c_{n}\} are independent standard normal variables, increase exponentially (almost surely) at the asymptotic rate (1.0574735537...)n(1.0574735537...)^{n}. Solutions to the related recurrences xn+1=cn+1xn+xn1x_{n+1} = c_{n+1}x_{n} + x_{n-1}, and xn+1=cn+1xn+dn+1xn1x_{n+1} = c_{n+1}x_{n} + d_{n+1}x_{n-1} (where the {dn}\{d_{n}\} are also independent standard normal variables) increase (decrease) at the rates (1.1149200917...)n(1.1149200917...)^{n} and (0.9949018837...)(n)(0.9949018837...)^(n) respectively

    Eigenvalues and Pseudospectra of Rectangular Matrices

    Get PDF
    Pseudospectra of rectangular matrices vary continuously with the matrix entries, a feature that eigenvalues of rectangular matrices do not have. Some properties of eigenvalues and pseudospectra of rectangular matrices are explored, and an efficient algorithm for the computation of pseudospectra is given. Applications are given in (square) eigenvalue computation (Lanczos and Arnoldi iteration), square pseudospectra approximation, control theory (nearest uncontrollable system) and game theory

    6500 BP Oldsquaw Duck (Clangula hyemalis) from Northern Ellesmere Island, Arctic Archipelago, Canada

    Get PDF
    A nearly complete skeleton, including partially preserved feathers, of an Oldsquaw duck (Clangula hyemalis L.) was recovered from Holocene marine deposits in Clements Markham Inlet, Ellesmere Island, N.W.T., Canada. The specimen was 2 m lower in the section than allochthonous terrestrial plants previously dated at 6400 ± BP (Sl-4314) and is estimated to be 6500 years old. These deposits represent a marine, prodeltaic sedimentary environment that emerged from the fiord as the result of postglacial isostatic uplift. Comparison of the specimen's present elevation and age with the inlet's emergence curve indicates the duck was buried in a paleowater depth of 38 m. Isostatic uplift is ubiquitous in the Canadian Arctic, exposing ocean bottoms and prodeltas. The deposits from these environments deserve closer scrutiny for fossils by Quaternary scientists, as they can contribute to a better understanding of the biologic development of the Canadian Arctic.
    corecore