Results 1  10
of
1,130
Square Core Jacketed AirClad Fiber
"... Abstract: We report the fabrication of a square core jacketed airclad fiber with a tophat nearfield intensity profile. Using this fiber we have successfully produced square shaped ablation marks in ITO without complex beam shaping optics. 1. Introduction. Fiber delivery of intense laser radiatio ..."
Abstract

Cited by 2 (0 self)
 Add to MetaCart
Abstract: We report the fabrication of a square core jacketed airclad fiber with a tophat nearfield intensity profile. Using this fiber we have successfully produced square shaped ablation marks in ITO without complex beam shaping optics. 1. Introduction. Fiber delivery of intense laser
The Average Distance in a Random Graph with Given Expected Degrees
"... Random graph theory is used to examine the “smallworld phenomenon”– any two strangers are connected through a short chain of mutual acquaintances. We will show that for certain families of random graphs with given expected degrees, the average distance is almost surely of order log n / log ˜ d whe ..."
Abstract

Cited by 289 (13 self)
 Add to MetaCart
where ˜ d is the weighted average of the sum of squares of the expected degrees. Of particular interest are power law random graphs in which the number of vertices of degree k is proportional to 1/k β for some fixed exponent β. For the case of β> 3, we prove that the average distance of the power law
Square in core models
 Bull. Symbolic Logic
, 2001
"... Abstract. Our main results are: 1) every countably certified extender that coheres with the core model K is on the extender sequence of K, 2)Kcomputes successors of weakly compact cardinals correctly, 3) every model on the maximal 1small construction is an iterate of K, 4) (joint with W. J. Mitchel ..."
Abstract

Cited by 29 (8 self)
 Add to MetaCart
Abstract. Our main results are: 1) every countably certified extender that coheres with the core model K is on the extender sequence of K, 2)Kcomputes successors of weakly compact cardinals correctly, 3) every model on the maximal 1small construction is an iterate of K, 4) (joint with W. J
Coring
"... square kilometers of high resolution multibeam bathymetry and backscatter data in Indonesia. The purpose of these surveys was to identify possible oil and gas seeps on the sea bottom in frontier basins and then to collect piston cores from the most prospective locations for hydrocarbon geochemical a ..."
Abstract
 Add to MetaCart
square kilometers of high resolution multibeam bathymetry and backscatter data in Indonesia. The purpose of these surveys was to identify possible oil and gas seeps on the sea bottom in frontier basins and then to collect piston cores from the most prospective locations for hydrocarbon geochemical
Crush dynamics of square honeycomb sandwich cores
 Int. J. Numer. Methods Eng
, 2006
"... Square honeycombs are effective as cores for allmetal sandwich plates in that they combine excellent crushing strength and energy absorption with good stiffness and strength in outofplane shear and inplane stretch. In applications where sandwich plates must absorb significant energy in crushing ..."
Abstract

Cited by 22 (5 self)
 Add to MetaCart
Square honeycombs are effective as cores for allmetal sandwich plates in that they combine excellent crushing strength and energy absorption with good stiffness and strength in outofplane shear and inplane stretch. In applications where sandwich plates must absorb significant energy in crushing
QR Recursive Least Squares IP Core Example
"... All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
Abstract
 Add to MetaCart
All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Incremental Online Learning in High Dimensions
 Neural Computation
, 2005
"... Locally weighted projection regression (LWPR) is a new algorithm for incremental nonlinear function approximation in high dimensional spaces with redundant and irrelevant input dimensions. At its core, it employs nonparametric regression with locally linear models. In order to stay computationally e ..."
Abstract

Cited by 164 (19 self)
 Add to MetaCart
Locally weighted projection regression (LWPR) is a new algorithm for incremental nonlinear function approximation in high dimensional spaces with redundant and irrelevant input dimensions. At its core, it employs nonparametric regression with locally linear models. In order to stay computationally
Unifying least squares, total least squares and data least squares
 in “Total Least Squares and ErrorsinVariables Modeling
, 2002
"... Abstract The standard approaches to solving overdetermined linear systems Ax ≈ b construct minimal corrections to the vector b and/or the matrix A such that the corrected system is compatible. In ordinary least squares (LS) the correction is restricted to b, while in data least squares (DLS) it is r ..."
Abstract

Cited by 13 (5 self)
 Add to MetaCart
Abstract The standard approaches to solving overdetermined linear systems Ax ≈ b construct minimal corrections to the vector b and/or the matrix A such that the corrected system is compatible. In ordinary least squares (LS) the correction is restricted to b, while in data least squares (DLS
Optimizing correctlyrounded reciprocal square roots for embedded VLIW cores
 in Proceedings of the 43rd Asilomar Conference on Signals, Systems
, 2009
"... This paper presents an optimized software implementation of the reciprocal square root function x 7 → x−1/2, for IEEE binary32 floatingpoint data and with correct rounding to nearest. The main feature of this implementation is high instruction level parallelism (ILP) exposure, which results here ..."
Abstract

Cited by 5 (3 self)
 Add to MetaCart
This paper presents an optimized software implementation of the reciprocal square root function x 7 → x−1/2, for IEEE binary32 floatingpoint data and with correct rounding to nearest. The main feature of this implementation is high instruction level parallelism (ILP) exposure, which re
Selfconjugate tcore partitions, sums of squares, and pblocks of An
 JOURNAL OF ALGEBRA
, 2005
"... We prove that if t is an integer with t = 8 or t ≥ 10, then every integer n> 2 has a selfconjugate tcore partition. This result has consequences in the representation theory of alternating groups, and has a version as a theorem about the representation of integers by sums of squares. We also gi ..."
Abstract

Cited by 4 (2 self)
 Add to MetaCart
We prove that if t is an integer with t = 8 or t ≥ 10, then every integer n> 2 has a selfconjugate tcore partition. This result has consequences in the representation theory of alternating groups, and has a version as a theorem about the representation of integers by sums of squares. We also
Results 1  10
of
1,130