130 research outputs found
Coherent Diffractive Imaging Using Randomly Coded Masks
Coherent diffractive imaging (CDI) provides new opportunities for high
resolution X-ray imaging with simultaneous amplitude and phase contrast.
Extensions to CDI broaden the scope of the technique for use in a wide variety
of experimental geometries and physical systems. Here, we experimentally
demonstrate a new extension to CDI that encodes additional information through
the use of a series of randomly coded masks. The information gained from the
few additional diffraction measurements removes the need for typical
object-domain constraints; the algorithm uses prior information about the masks
instead. The experiment is performed using a laser diode at 532.2 nm, enabling
rapid prototyping for future X-ray synchrotron and even free electron laser
experiments. Diffraction patterns are collected with up to 15 different masks
placed between a CCD detector and a single sample. Phase retrieval is performed
using a convex relaxation routine known as "PhaseCut" followed by a variation
on Fienup's input-output algorithm. The reconstruction quality is judged via
calculation of phase retrieval transfer functions as well as by an object-space
comparison between reconstructions and a lens-based image of the sample. The
results of this analysis indicate that with enough masks (in this case 3 or 4)
the diffraction phases converge reliably, implying stability and uniqueness of
the retrieved solution
Theory and Applications of Robust Optimization
In this paper we survey the primary research, both theoretical and applied,
in the area of Robust Optimization (RO). Our focus is on the computational
attractiveness of RO approaches, as well as the modeling power and broad
applicability of the methodology. In addition to surveying prominent
theoretical results of RO, we also present some recent results linking RO to
adaptable models for multi-stage decision-making problems. Finally, we
highlight applications of RO across a wide spectrum of domains, including
finance, statistics, learning, and various areas of engineering.Comment: 50 page
SIMULATING KNOWLEDGE-GENERATION AND DISTRIBUTION PROCESSES IN INNOVATION COLLABORATIONS AND NETWORKS
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