14,148 research outputs found
The 2014 American State Litter Scorecard FINAL: USA's Dirtiest & Cleanest States Includes Statistics and Charts
A NEW State Litter "Scorecard" is released for the 2014 American Society for Public Administration (ASPA) Conference. Every three years, the Scorecard approximates each state's overall public spaces environmental quality through tried-and-true, hard-to-publicly obtain objective and subjective measures, resulting in a total overall jurisdictional score. Readers gain a realistic "picture" of "what's going on" within one or all of the 50 states. Illegal littering and dumping, found frequently on or near transportation paths, creates danger to public safety and health, with 800+ Americans dying each year by vehicle collisions with unmoved roadway debris. Because policy makers, public administrators and citizens are ever more involved in effectuating "green" outcomes, satisfactory public spaces waste removals are vital. Since 2008, major publications (the Boston Globe; TRAVEL+LEISURE; National Cooperative Highway Research Program's "Reducing Litter on Roadsides" Journal) have referred to the Scorecard, an ever valuable, trusted standard for improving debris/litter abatement in states and localities
Statement of Theodore J. St. Antoine Before the Commission on the Future of Worker-Management Relations
Testimony_St_Antoine_040694.pdf: 205 downloads, before Oct. 1, 2020
A modified semi--implict Euler-Maruyama Scheme for finite element discretization of SPDEs with additive noise
We consider the numerical approximation of a general second order
semi--linear parabolic stochastic partial differential equation (SPDE) driven
by additive space-time noise. We introduce a new modified scheme using a linear
functional of the noise with a semi--implicit Euler--Maruyama method in time
and in space we analyse a finite element method (although extension to finite
differences or finite volumes would be possible). We prove convergence in the
root mean square norm for a diffusion reaction equation and diffusion
advection reaction equation. We present numerical results for a linear reaction
diffusion equation in two dimensions as well as a nonlinear example of
two-dimensional stochastic advection diffusion reaction equation. We see from
both the analysis and numerics that the proposed scheme has better convergence
properties than the standard semi--implicit Euler--Maruyama method
Frames, semi-frames, and Hilbert scales
Given a total sequence in a Hilbert space, we speak of an upper (resp. lower)
semi-frame if only the upper (resp. lower) frame bound is valid. Equivalently,
for an upper semi-frame, the frame operator is bounded, but has an unbounded
inverse, whereas a lower semi-frame has an unbounded frame operator, with
bounded inverse. For upper semi-frames, in the discrete and the continuous
case, we build two natural Hilbert scales which may yield a novel
characterization of certain function spaces of interest in signal processing.
We present some examples and, in addition, some results concerning the duality
between lower and upper semi-frames, as well as some generalizations, including
fusion semi-frames and Banach semi-frames.Comment: 27 pages; Numerical Functional Analysis and Optimization, 33 (2012)
in press. arXiv admin note: substantial text overlap with arXiv:1101.285
Continuous Tensor Network States for Quantum Fields
We introduce a new class of states for bosonic quantum fields which extend
tensor network states to the continuum and generalize continuous matrix product
states (cMPS) to spatial dimensions . By construction, they are
Euclidean invariant, and are genuine continuum limits of discrete tensor
network states. Admitting both a functional integral and an operator
representation, they share the important properties of their discrete
counterparts: expressiveness, invariance under gauge transformations, simple
rescaling flow, and compact expressions for the -point functions of local
observables. While we discuss mostly the continuous tensor network states
extending Projected Entangled Pair States (PEPS), we propose a generalization
bearing similarities with the continuum Multi-scale Entanglement
Renormalization Ansatz (cMERA).Comment: 16 pages, 5 figures, close to published versio
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