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A-methods represent the actual values or approximate

Simple and approximate estimations of future precipitation return values

Simple and approximate estimations of future precipitation return values

... tional methods in that rather than attempting to specify the most likely value, it estimates a kind of upper bound of the systematic response of extreme precipitation to changes in ...

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Approximate Methods for Indeterminate Structural Analysis

Approximate Methods for Indeterminate Structural Analysis

... members, approximate methods are used to obtain approximate design values of moments, shear and axial forces in various ...applying approximate methods, it is necessary to reduce ...

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Distributed methods for computing approximate equilibria

Distributed methods for computing approximate equilibria

... It is worth pointing out that, while these techniques are thematically similar to the ones used by the FGSS-algorithm, the actual implementation is significantly different. The FGSS-algorithm attempts to improve ...

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Approximate methods in high speed flow

Approximate methods in high speed flow

... - 1 8 5 ~ If the cros sectional area of the tube is constant and the shock wave is modified entirely by a simple wave in the region behind the shock front then in order to apply (5, 4* 3) to this problem* we require to ...

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Tuning of PID Controllers – Approximate Methods

Tuning of PID Controllers – Approximate Methods

... Optimization with the application of these criteria revolves around the minimization of their value. However, the indicators have limited applicability due to certain problems associated with the integration of the ...

9

Analysis of approximate factorization in iteration methods

Analysis of approximate factorization in iteration methods

... (1.2) Y n+1 − ∆t(A ⊗ I)F(et n + c∆t,Y n+1 ) = (B ⊗ I)Y n + ∆t(C ⊗ I)F(et n-1 + c∆t,Y n ), n = 0, 1, ... . Here A, B and C denote s-by-s matrices, I is the identity matrix whose order equals that of the system (1.1), e is ...

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Recent Advances in Approximate Bayesian Computation Methods

Recent Advances in Approximate Bayesian Computation Methods

... proposed values drawn from the normal distribution, to θ, leading to proposed parameter values θ ∗ ...candidate values which are in the bulk of the ...

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Sampling Methods In Approximate Query Answering Systems

Sampling Methods In Approximate Query Answering Systems

... until the user is satisfied or the exact answer is supplied, and it can provide confidence intervals that indicate the uncertainty present in the answer. However, there are two important systems considerations that ...

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Breast cancer: Actual methods of treatment and future trends

Breast cancer: Actual methods of treatment and future trends

... to represent 30% of all diagnosed ...easy-to-use methods are searched for to precisely localise and remove occult breast tumours or lesions highly suspicious to be malignant, with concurrent ...

8

Collective Calculation of Actual Values of Non Photochemical Quenching from Their Apparent Values after Chloroplast  Movement and Photoinhibition

Collective Calculation of Actual Values of Non Photochemical Quenching from Their Apparent Values after Chloroplast Movement and Photoinhibition

... mathematical methods used to estimate the fluctuation of fluorescence yields and parameter values accompanying chloroplast movement and photoinhibition were ...S values by chloroplast movement should ...

14

Benchmarking Approximate Inference Methods for Neural Structured Prediction

Benchmarking Approximate Inference Methods for Neural Structured Prediction

... Gradient Descent for Inference. For the num- ber of epochs N , we consider values in the set {5, 10, 20, 30, 40, 50, 100, 500, 1000}. For each N , we tune the learning rate over the set {1e 4 , 5e 3 , 1e 3 , 500, ...

12

Approximate policy iteration: A survey and some new methods

Approximate policy iteration: A survey and some new methods

... Then, approximate and optimistic policy iteration converge to µ (or µ ∗ ) if started with r in R µ (or R µ∗ , ...meaningfully represent a cost approximation of any of the corresponding policies, as ...

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Correction Methods, Approximate Biases, and Inference for Misclassified Data

Correction Methods, Approximate Biases, and Inference for Misclassified Data

... correction methods for misclassification in research require auxiliary data or some knowledge about misclassification or reclassification ...replicated values (replicates of W are available) and ...

121

What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?

What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?

... Accepted 18 April 2001 Abstract. Preferences elicited in hypothetical settings have recently come under scrutiny, causing estimates from the contingent valuation method to be challenged due to perceived “hypothetical ...

14

Advancing Methods to Quantify Actual Evapotranspiration in Stony Soil Ecosystems

Advancing Methods to Quantify Actual Evapotranspiration in Stony Soil Ecosystems

... 101 moisture showed greater accuracy than Noah-MP simulations, overestimation of ET values were observed for both H1D I and H1D II simulations. The HYDRUS-1D simulations, however, showed the best correlations and ...

157

Accuracy of approximate methods of uncertainty propagation in seismic loss estimation

Accuracy of approximate methods of uncertainty propagation in seismic loss estimation

... Figure 10b illustrates the error in the loss hazard curve in the case of perfect correlations. It can be seen that the under prediction of the standard deviation in the total loss by the partial method (and FOSM method) ...

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Projected equation methods for approximate solution of large linear systems

Projected equation methods for approximate solution of large linear systems

... propose methods to compute an approximate solution within a subspace spanned by a relatively small number of basis ...i represent the costs of being at the corresponding states i = 1 , ...

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Approximate Bayesian inference methods for stochastic state space models

Approximate Bayesian inference methods for stochastic state space models

... to approximate the optimal twisting ...reliably approximate marginal likelihoods for the same or less compu- tational cost than standard particle ...

148

Numerical Approximate Methods for Solving Linear and Nonlinear Integral Equations

Numerical Approximate Methods for Solving Linear and Nonlinear Integral Equations

... may represent a complicated mathematical model of a physical situation into a single equation is itself a significant step, but there are other advantages to the gained by replacing differentiation with ...

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Comparison of Approximate Methods for Sliding and Rocking Evaluation of Unanchored Platforms

Comparison of Approximate Methods for Sliding and Rocking Evaluation of Unanchored Platforms

... Note that the center of gravity height, h, and the rotation arm, b, are with respect to the centerline of the structural elements. In order to arrive at the actual distances to the edge of the base members, ½ of ...

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