An Approximation For The Power Loss Parameter
An analytic approximation of MDM power spectra in four dimensional parameter space
... Abstract. An accurate analytic approximation of the transfer function for the power spectra of primordial den- sity perturbations in mixed dark matter models is pre- sented. The fitting formula in a ...
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Approximation issues for applications in optimal control and parameter estimation
... In the remainder of the paper we will expand on these ideas. More detailed def- initions and statements of convergence theorems will be given so that we may focus more precisely on the theoretical reasons for the ...
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Approximation results for parameter estimation in non-linear elastomers
... This class of systems was introduced in [BGS, BLMY] and further studied in [BLGMY] as a model for the behavior of nonlinear elastomers . These materials, which are used in the development of active and passive vibration ...
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Efficient Approximation of the Matching Distance for 2-Parameter Persistence
... One detail in this plot is relevant for the experiments of the previous subparagraph. If we choose a relative error ε 0 and draw a horizontal line ε = ε 0 in Figure 8 until it intersects the plotted curves, then the ...
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Parameter Continuation with Secant Approximation for Deep Neural Networks
... Natural Parameter Continuation(NPC), our method develops the idea of using a Secant approximation leading to our novel Natural Parameter Continuation using Secant (NPCS) ...
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The role of the loss function in the probabilistic function approximation
... The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private stu[r] ...
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Measuring Portfolio Loss Using Approximation Methods
... portfolio loss in excess of the ...unexpected loss, beyond say 90 th percentile of the ...a loss of around £240,000,000, but the probability of such loss occurring is about ...such loss ...
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PARAMETER IDENTIFICATION FOR ASYMMETRICAL POLYNOMIAL LOSS FUNCTION
... x x obtained directly by measuring or with the aid of auxiliary quantities. In this paper, the uncer- tainty of the examined parameter is considered with a probabilistic approach. For identification of character- ...
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Loss Minimization and Parameter Estimation with Heavy Tails
... specific loss bounds for least squares linear regression, which match existing rates, but without requiring the noise or covariates to be bounded or ...factor approximation to the optimal loss can be ...
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Managing Real Power Loss of Distribution System Connected with Distributed Generator Using Least Square Quadratic Approximation
... real power injected from DG and its associated real power loss in a distribution ...managing loss are formulated as an optimization problem, which can be classified into two sub-problems ...
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Stopping power beyond the adiabatic approximation
... collisions approximation, a view of the ion-ion interactions that includes many body effects is obtained using classical molecular dynamics, MD, to solve the problem of projectile and tar- get atoms together, ...
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Estimation of Scale Parameter Under a Bounded Loss Function
... quadratic loss function has been used by decision-theoretic statisticians and economists for many ...scale parameter under a bounded loss function, which is adequate for assessing quality and quality ...
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Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications
... error loss remains the most commonly used loss function for constructing a Bayes estimator of the parameter of ...a parameter is defined on a restricted ...of loss functions for ...
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Drawing (complete) binary tanglegrams: Hardness, approximation, fixed-parameter tractability
... (a) arbitrary drawing (b) drawing of our 2-approximation Fig. 1: A binary tanglegram showing two evolutionary trees for pocket gophers [9]. pairs of trees arises in applications such as the analysis of software ...
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Parameter Tuning via Kernel Matrix Approximation for Support Vector Machine
... Approximate error bounds can also be taken as the criteria to select hyper-parameters. The commonly used bounds include span bound, Jaakkola-Haussler bound [7] and radius-margin bound [7], [8]. Generally, these two ...
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Model Parameter Calibration in Power Systems
... the power system based on the latest NERC guideline on power plant ...as parameter sanity check and parameter sensitivity evaluation; (3) Manual search for the optimal solution via methods ...
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Detection and Measurement of Power Quality Parameter
... 3. Block diagram: Figure 3.1: Block Diagram for detection of power quality problems. Block diagram representing various blocks and their interconnection of detection of power quality problems is shown in ...
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Influence of gear loss factor on the power loss prediction
... The gear loss factor was also calculated based on the results obtained with the commercial software KissSoft which ac- counts for elastic effects. Figure 2 shows the comparison between the different gear ...
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Unexpected Power Loss Protection
... or loss of life, the products should only be incorporated in systems designed with appropriate redundancy, fault tolerant, or back-up ...FOR LOSS OF USE, REVENUE, OR PROFIT OR OTHER INCIDENTAL, PUNITIVE, ...
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An approximation method for power indices for voting games
... 6 Conclusions and future work The Shapley value and Banzhaf index are two well known indices for measuring a the power a player has in a voting game. However, the problem of computing these indices is ...
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