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Approximations for the Work-Time Fraction

Better approximations for Tree Sparsity in Nearly-Linear Time

Better approximations for Tree Sparsity in Nearly-Linear Time

... and output sparsity αk. Then BoostedHead t is a head-approximation algorithm with approxima- tion ratio c 0 H = 1 − (1 − c H ) t and output sparsity tαk. Moreover, BoostedHead runs in time O(t · T HEAD ), where T ...

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Fractional Difference Approximations for Time Fractional Telegraph Equation

Fractional Difference Approximations for Time Fractional Telegraph Equation

... For example, R.C. Cascaval [1] investigated several aspects of the fractional tele- graph equation, in an effort to better understand the anomalous diffusion process observed in blood flow experiments. Fractional ...

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Cycle-time and residence-time density approximations in a stochastic model for circulatory transport

Cycle-time and residence-time density approximations in a stochastic model for circulatory transport

... For a gamma cycle-time distribution, the residence-time density in the geometric elimination model (4.7) is exactly a gamma in the hypothetical case when p = 1 (the residence time coinci[r] ...

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Convolution spline approximations for time domain boundary integral equations

Convolution spline approximations for time domain boundary integral equations

... in time than space, the time error decreases faster than the space error when the mesh is refined with fixed mesh ratio, and the space error eventually ...the time step size is simply too big to ...

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Convolution spline approximations for time domain boundary integral equations

Convolution spline approximations for time domain boundary integral equations

... in time than space, the time error decreases faster than the space error when the mesh is refined with fixed mesh ratio, and the space error eventually ...the time step size is simply too big to ...

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Monte Carlo methods for adaptive sparse approximations of time series

Monte Carlo methods for adaptive sparse approximations of time series

... Sparse Approximations of Time-Series Thomas Blumensath, Member, IEEE, Mike ...of time-series. The work is based on a Bayesian spec- ification of the shift-invariant sparse coding ...learn ...

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Markov-modulated infinite-server queues: approximations by time-scaling

Markov-modulated infinite-server queues: approximations by time-scaling

... propose approximations for the queue-length distribution, based on time-scaling ...obtain approximations under time-scalings; there we consider subsequently a quasi-stationary regime (in which ...

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Discrete approximations for strict convex continuous time problems and duality

Discrete approximations for strict convex continuous time problems and duality

... of time-varying contin- uous functions as entries and the rest of the parameters of the problem a, c, B and K are functions of bounded variation; x(t) is the decision ...

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Near-linear time approximations schemes for clustering in doubling metrics

Near-linear time approximations schemes for clustering in doubling metrics

... of work to design good tools for clustering in metrics of fixed doubling dimension, from the general result of Talwar [?] to very recent coreset constructions for clustering problems ...seminal work, Arora ...

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From wavelets to adaptive approximations: time-frequency parametrization of EEG

From wavelets to adaptive approximations: time-frequency parametrization of EEG

... First registered from human scalp in 1929 [1], until today EEG remains an important tool in neuroscience and clin- ical neurophysiology. For a long time it was the only ob- jective parameter providing information ...

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Consumption and asset prices with recursive preferences: Continuous-time approximations to discrete-time models

Consumption and asset prices with recursive preferences: Continuous-time approximations to discrete-time models

... as approximations to discrete-time ...continuous- time approximations are ...the time step is small, first-order approximations in the step size provide the same analytical ...

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Comparing hitting time behaviour of Markov jump processes and their diffusion approximations

Comparing hitting time behaviour of Markov jump processes and their diffusion approximations

... this work we focus on mean hitting time behaviour in a thermo- dynamic ...hitting time behaviour of the two models is vastly different in each ...

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Polynomial Time Approximations for Multi-Path Routing with Bandwidth and Delay Constraints

Polynomial Time Approximations for Multi-Path Routing with Bandwidth and Delay Constraints

... Polynomial Time Approximations for Multi-Path Routing with Bandwidth and Delay Constraints Satyajayant Misra, Guoliang Xue and Dejun Yang Abstract— In this paper, we study the problem of multi-path routing ...

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Approximations for the waiting time distribution in an M/G/c priority queue

Approximations for the waiting time distribution in an M/G/c priority queue

... waiting time distribution per class in a system with multiple priority ...service time distribution with many phases) can still be quickly analyzed with a limited decrease in ...

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CiteSeerX — Running head: Effect of urapidil on diastolic time fraction

CiteSeerX — Running head: Effect of urapidil on diastolic time fraction

... We defined systole as the period between the ECG R-peak and the dicrotic notch on the P a signal. In that way systolic time includes both the isovolumic contraction phase and the left ventricular ejection period. ...

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Capital Market, Frequency of Recession, and Fraction of Time the Economy in Recession

Capital Market, Frequency of Recession, and Fraction of Time the Economy in Recession

... Before we go into a review of empirical work, it is beneficial to familiarize with one of the most popular terms in the finance and growth literature [e.g. Beck et al. (2000b)], namely "Financial Development". The ...

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Examining the Influence of Number Line Fraction Task Characteristics on Student Work

Examining the Influence of Number Line Fraction Task Characteristics on Student Work

... and work ethic through the opportunity to work with ...this work from the beginning with everything from suggestions to strengthen my literature review to questions that helped guide the analysis of ...

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Transistor Approximations

Transistor Approximations

... 121 The Second Approximation Figure 4-13c shows the second approximation of a transistor. This is more commonly used because it may improve the analysis significantly when the base supply voltage is small. This ...
Error Estimates for Approximations of Distributed Order Time Fractional Diffusion with Nonsmooth Data

Error Estimates for Approximations of Distributed Order Time Fractional Diffusion with Nonsmooth Data

... We develop a space semidiscrete scheme based on the Galerkin finite element method, and establish error estimates optimal with respect to data regularity in L2 Ω and H 1 Ω norms for both [r] ...

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Generalized finite difference/spectral Galerkin approximations for the time fractional telegraph equation

Generalized finite difference/spectral Galerkin approximations for the time fractional telegraph equation

... the time-fractional telegraph equation. The main purpose of this work is to construct and analyze stable and high-order scheme for solving the time-fractional telegraph equation ...in time and ...

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