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24,442
Estimate of Exponential Convergence Rate and Exponential Stability for Neural Networks
, 1999
"... Estimate of exponential convergence rate and exponential stability are studied for a class of neural networks which includes the Hopfield neural networks and the cellular neural networks. Both local and global exponential convergence is discussed. Theorems for estimate of exponential convergence rat ..."
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Cited by 5 (1 self)
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Estimate of exponential convergence rate and exponential stability are studied for a class of neural networks which includes the Hopfield neural networks and the cellular neural networks. Both local and global exponential convergence is discussed. Theorems for estimate of exponential convergence
A stochastic PCA algorithm with an exponential convergence rate
 CoRR, abs/1409.2848, 2014. URL http://arxiv.org/abs/1409.2848
"... We describe and analyze a simple algorithm for principal component analysis, VRPCA, which uses computationally cheap stochastic iterations, yet converges exponentially fast to the optimal solution. In contrast, existing algorithms suffer either from slow convergence, or computationally intensive it ..."
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Cited by 4 (0 self)
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We describe and analyze a simple algorithm for principal component analysis, VRPCA, which uses computationally cheap stochastic iterations, yet converges exponentially fast to the optimal solution. In contrast, existing algorithms suffer either from slow convergence, or computationally intensive
Exponential Convergence Rates of Second Quantization Semigroups and Applications ∗
, 2010
"... ar ..."
A stochastic gradient method with an exponential convergence rate for finite training sets.
 In NIPS,
, 2012
"... Abstract We propose a new stochastic gradient method for optimizing the sum of a finite set of smooth functions, where the sum is strongly convex. While standard stochastic gradient methods converge at sublinear rates for this problem, the proposed method incorporates a memory of previous gradient ..."
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Cited by 73 (10 self)
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Abstract We propose a new stochastic gradient method for optimizing the sum of a finite set of smooth functions, where the sum is strongly convex. While standard stochastic gradient methods converge at sublinear rates for this problem, the proposed method incorporates a memory of previous gradient
A hardware algorithm for fast logarithmic computation with exponential convergence rate
 Journal of the Chinese Institute of Engineers
, 2005
"... A hardware algorithm is proposed for improving the speed of the linear digitrecurrence logarithmic algorithm. The convergence rate of this logarithmic algorithm is exponential. Furthermore, the size of the lookup tables used in the algorithm is smaller than the size of the lookup tables used in the ..."
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Cited by 1 (1 self)
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A hardware algorithm is proposed for improving the speed of the linear digitrecurrence logarithmic algorithm. The convergence rate of this logarithmic algorithm is exponential. Furthermore, the size of the lookup tables used in the algorithm is smaller than the size of the lookup tables used
Optimization Flow Control, I: Basic Algorithm and Convergence
 IEEE/ACM TRANSACTIONS ON NETWORKING
, 1999
"... We propose an optimization approach to flow control where the objective is to maximize the aggregate source utility over their transmission rates. We view network links and sources as processors of a distributed computation system to solve the dual problem using gradient projection algorithm. In thi ..."
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Cited by 694 (64 self)
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We propose an optimization approach to flow control where the objective is to maximize the aggregate source utility over their transmission rates. We view network links and sources as processors of a distributed computation system to solve the dual problem using gradient projection algorithm
Social change and crime rate trends: a routine activity approach
 American Sociological Review
, 1979
"... In this paper we present a "routine activity approach " for analyzing crime rate trends and cycles. Rather than emphasizing the characteristics of offenders, with this approach we concentrate upon the circumstances in which they carry out predatory criminal acts. Most criminal acts require ..."
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Cited by 680 (5 self)
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In this paper we present a "routine activity approach " for analyzing crime rate trends and cycles. Rather than emphasizing the characteristics of offenders, with this approach we concentrate upon the circumstances in which they carry out predatory criminal acts. Most criminal acts
A simple distributed autonomous power control algorithm and its convergence
 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
, 1993
"... For wireless cellular communication systems, one seeks a simple effective means of power control of signals associated with randomly dispersed users that are reusing a single channel in different cells. By effecting the lowest interference environment, in meeting a required minimum signaltointerf ..."
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Cited by 477 (3 self)
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distributed type of algorithm, whenever power settings exist for which all users meet the p requirement, we demonstrate exponentially fast convergence to these settings.
Determining Lyapunov Exponents from a Time Series
 Physica
, 1985
"... We present the first algorithms that allow the estimation of nonnegative Lyapunov exponents from an experimental time series. Lyapunov exponents, which provide a qualitative and quantitative characterization of dynamical behavior, are related to the exponentially fast divergence or convergence of n ..."
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Cited by 495 (1 self)
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We present the first algorithms that allow the estimation of nonnegative Lyapunov exponents from an experimental time series. Lyapunov exponents, which provide a qualitative and quantitative characterization of dynamical behavior, are related to the exponentially fast divergence or convergence
A Contribution to the Empirics of Economic Growth
 Quarterly Journal of Economics
, 1992
"... This paper examines whether the Solow growth model is consistent with the international variation in the standard of living. It shows that an augmented Solow model that includes accumulation of human as well as physical capital provides an excellent description of the crosscountry data. The paper a ..."
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Cited by 1258 (12 self)
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also examines the implications of the Solow model for convergence in standards of living, that is, for whether poor countries tend to grow faster than rich countries. The evidence indicates that, holding population growth and capital accumulation constant, countries converge at about the rate
Results 1  10
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24,442