### Topological surrogates for computationally efficient computationally efficient algorithm to identify matched

May 30, 2020To address this need, this research was conducted to identify, for the first time, computationally efficient topological surrogates for hydraulic simulationbased optimization. The computational efficiency of surrogate optimization was measured in terms of solution quality (i.e., postearthquake serviceability) and computational runtime.Topological surrogates for computationally efficient computationally efficient algorithm to identify matchedMay 30, 2020To address this need, this research was conducted to identify, for the first time, computationally efficient topological surrogates for hydraulic simulationbased optimization. The computational efficiency of surrogate optimization was measured in terms of solution quality (i.e., postearthquake serviceability) and computational runtime.

### Computationally efficient, robust algorithm for matched computationally efficient algorithm to identify matched

Feb 05, 2005Computationally efficient, robust algorithm for matched field processing Computationally efficient, robust algorithm for matched field processing Groot, Anthony; Harris, David 2005-02-05 00:00:00 CIRCUITS SYSTEMS SIGNAL PROCESSING VOL. 17, NO, 2, 1998, Pi'. 165-193 COMPUTATIONALLY EFFICIENT, ROBUST ALGORITHM FOR MATCHED FIELD PROCESSING* Computationally efficient, robust algorithm for matched computationally efficient algorithm to identify matchedFeb 05, 2005Computationally efficient, robust algorithm for matched field processing Computationally efficient, robust algorithm for matched field processing Groot, Anthony; Harris, David 2005-02-05 00:00:00 CIRCUITS SYSTEMS SIGNAL PROCESSING VOL. 17, NO, 2, 1998, Pi'. 165-193 COMPUTATIONALLY EFFICIENT, ROBUST ALGORITHM FOR MATCHED FIELD PROCESSING*

### Search Algorithms for Block-Matching in Motion Estimation

With the realization that motion compensation is the most computationally intensive operation in the coding and transmitting of video streams, people started looking for more efficient algorithms. However, there is a trade-off between the efficiency of the algorithm and the quality of the prediction image.

### Search Algorithms for Block-Matching in Motion Estimation

With the realization that motion compensation is the most computationally intensive operation in the coding and transmitting of video streams, people started looking for more efficient algorithms. However, there is a trade-off between the efficiency of the algorithm and the quality of the prediction image.New full-vectorial numerically efficient propagation computationally efficient algorithm to identify matchedAbstract A new full-vectorial beam propagation algorithm based on the versatile finite element method, in order to accurately characterize three-dimensional (3-D) optical guided-wave devices, is presented. The computationally efficient formulation is based on the two transverse components of the magnetic field without destroying the sparsity of the matrix equation.

### Matching Pursuit Algorithms - MATLAB & Simulink

Matching pursuit is a greedy algorithm that computes the best nonlinear approximation to a signal in a complete, redundant dictionary. Matching pursuit builds a Matching Pursuit Algorithms - MATLAB & SimulinkMatching pursuit is a greedy algorithm that computes the best nonlinear approximation to a signal in a complete, redundant dictionary. Matching pursuit builds a

### Matching Pursuit Algorithms - MATLAB & Simulink

Matching pursuit is a greedy algorithm that computes the best nonlinear approximation to a signal in a complete, redundant dictionary. Matching pursuit builds a ML Face Recognition Using Eigenfaces (PCA Algorithm computationally efficient algorithm to identify matchedMar 26, 2020Now, we find Covariance matrix by multiplying A with A T.A has dimensions N 2 * M, thus A T has dimenions M * N 2.When we multiplied this gives us matrix of N 2 * N 2, which gives us N 2 eigenvectors of N 2 size which is not computationally efficient to calculate. So we calculate our covariance matrix by multiplying A T and A.This gives us M * M matrix which has M (assuming M N 2)

### GitHub - bakerjw/CS_Selection Software for selecting computationally efficient algorithm to identify matched

It improves upon an earlier algorithm by Jayaram et al. (2011). Further documentation can be found in the following paper Baker, J. W., and Lee, C. (2018). An Improved Algorithm for Selecting Ground Motions to Match a Conditional Spectrum. Journal of Earthquake Engineering, 22(4), 708723.GitHub - bakerjw/CS_Selection Software for selecting computationally efficient algorithm to identify matchedIt improves upon an earlier algorithm by Jayaram et al. (2011). Further documentation can be found in the following paper Baker, J. W., and Lee, C. (2018). An Improved Algorithm for Selecting Ground Motions to Match a Conditional Spectrum. Journal of Earthquake Engineering, 22(4), 708723.

### GitHub - XiaofangJ/PhaseFinder A pipeline to computationally efficient algorithm to identify matched

2. Mimic inversion in silico to create a database of inverted sequences usage PhaseFinder.py create [-h] -f -t -s -i optional arguments -h, --help show this help message and exit -f , --fasta input genome sequence file in fasta format -t , --tab table with inverted repeat coordinates -s , --flanksize base pairs of flanking DNA on both sides of the identified inverted repeats -i , --inv computationally efficient algorithm to identify matchedEfficient haplotype matching and storage using the computationally efficient algorithm to identify matchedTo identify where maximal matches start, we need to keep track of the start position of matches between neighboring prefixes. Formally, for define to be the smallest value j such that matches (note that I have dropped the k suffix of the ys here and in the following for ease of notation, since its value is implicitly k for the time being). If then set It can then be shown that the start of computationally efficient algorithm to identify matched

### Efficient haplotype matching and storage using the computationally efficient algorithm to identify matched

To identify where maximal matches start, we need to keep track of the start position of matches between neighboring prefixes. Formally, for define to be the smallest value j such that matches (note that I have dropped the k suffix of the ys here and in the following for ease of notation, since its value is implicitly k for the time being). If then set It can then be shown that the start of computationally efficient algorithm to identify matchedDynamically dimensioned search algorithm for computationally efficient algorithm to identify matched[1] A new global optimization algorithm, dynamically dimensioned search (DDS), is introduced for automatic calibration of watershed simulation models. DDS is designed for calibration problems with many parameters, requires no algorithm parameter tuning, and automatically scales the search to find good solutions within the maximum number of userspecified function (or model) evaluations.

### Computationally efficient, robust algorithm for matched computationally efficient algorithm to identify matched

Mar 01, 1998When either the search volume is large of the acoustic array is large, computational efficiency is an issue. We present an efficient MFP implementation for the conventional MFP algorithm and our robust algorithm. We show that parallel implementation of these algorithms Computationally Efficient Spatial Forecast Verification computationally efficient algorithm to identify matchedMay 01, 2008Nevertheless, the procedure proposed here allows for a computationally efficient automated method for distinguishing between objects that are close or far apart from one field to another. As a result, the procedure may contribute to other approaches where an algorithm is needed to merge and match binary image objects.

### Computationally Efficient Algorithm to Identify Matched computationally efficient algorithm to identify matched

Additionally, the algorithm is computationally efficient enough to be applied on large data sets. As an example the algorithm was used to identify the MMPs in the 300k NIH MLSMR set. The algorithm identified 5.3 million matched molecular pairs in the set. These pairs cover 2.6 million unique molecular transformations.Cited by 90Publish Year 1994Author J. A. Shorey, L. W. Nolte, J. L. KrolikMatched Molecular Pair Analysis in Short Algorithms computationally efficient algorithm to identify matchedJan 01, 2017J. Hussain, C. ReaComputationally efficient algorithm to identify matched molecular pairs (MMPs) in large data sets J Chem Inf Model, 50 (2010), pp. 339-348 CrossRef View Record in Scopus Google Scholar

### Cited by 319Publish Year 2010Author Jameed Hussain, Ceara ReaComputationally Efficient Algorithm to Identify Matched computationally efficient algorithm to identify matched

Computationally Efficient Algorithm to Identify Matched Molecular Pairs (MMPs) in Large Data Sets March 2010 Journal of Chemical Information and Modeling 50(3):339-48COMPUTATIONALLY EFFICIENT MONTE CARLO ESTIMATION computationally efficient algorithm to identify matchedJournal of Computational Acoustics Vol. 02, No. 03, pp. 285-314 (1994) SPECIAL ISSUE BENCHMARKING MATCHED FIELD PROCESSING METHODS No Access COMPUTATIONALLY EFFICIENT MONTE CARLO ESTIMATION ALGORITHMS FOR MATCHED FIELD PROCESSING IN UNCERTAIN OCEAN ENVIRONMENTS

### COMPUTATIONALLY EFFICIENT MONTE CARLO

computationally efficient monte carlo estimation algorithms for matched field processing in uncertain ocean environments November 2011 Journal of Computational Acoustics 02(03)COMPUTATIONALLY EFFICIENT MONTE CARLO Journal of Computational Acoustics Vol. 02, No. 03, pp. 285-314 (1994) SPECIAL ISSUE BENCHMARKING MATCHED FIELD PROCESSING METHODS No Access COMPUTATIONALLY EFFICIENT MONTE CARLO ESTIMATION ALGORITHMS FOR MATCHED FIELD PROCESSING IN UNCERTAIN OCEAN ENVIRONMENTS

### Author Anthony J. De Groot, David B. HarrisPublish Year 1998Computationally efficient, robust algorithm for matched computationally efficient algorithm to identify matched

Feb 05, 2005Computationally efficient, robust algorithm for matched field processing Computationally efficient, robust algorithm for matched field processing Groot, Anthony; Harris, David 2005-02-05 00:00:00 CIRCUITS SYSTEMS SIGNAL PROCESSING VOL. 17, NO, 2, 1998, Pi'. 165-193 COMPUTATIONALLY EFFICIENT, ROBUST ALGORITHM FOR MATCHED FIELD PROCESSING* An algorithm for progressive multiple alignment of computationally efficient algorithm to identify matchedJul 26, 2005Dynamic programming algorithms guarantee to find the optimal alignment between two sequences. For more than a few sequences, exact algorithms become computationally impractical, and progressive algorithms iterating pairwise alignments are widely used. These heuristic methods have a serious drawback because pairwise algorithms do not differentiate insertions from deletions and

### A computationally efficient nonparametric approach for computationally efficient algorithm to identify matched

Jul 28, 2016In this paper we build on an approach proposed by Zou et al. (2014) for nonparametric changepoint detection. This approach defines the best segmentation for a data set as the one which minimises a penalised cost function, with the cost function defined in term of minus a non-parametric log-likelihood for data within each segment. Minimising this cost function is possible using dynamic computationally efficient algorithm to identify matchedA computationally efficient method for automatic computationally efficient algorithm to identify matchedJan 23, 2008Not only is the algorithm shown to be computationally more efficient with registration time being reduced by a factor of 8, but also the algorithm is shown to offer 50% higher capture range allowing the initial patient displacement up to 15 mm (measured by mean target registration error).

### A computationally efficient method for automatic computationally efficient algorithm to identify matched

Jan 23, 2008Not only is the algorithm shown to be computationally more efficient with registration time being reduced by a factor of 8, but also the algorithm is shown to offer 50% higher capture range allowing the initial patient displacement up to 15 mm (measured by mean target registration error).A Computationally Efficient Method for Probabilistic computationally efficient algorithm to identify matchedA Computationally Efficient Method for Probabilistic Parameter Threshold Analysis for Health Economic Evaluations computationally efficient algorithm to identify matched We propose algorithm 2 to obtain the parameter threshold value, computationally efficient algorithm to identify matched threshold analysis can help to identify the maximum price that a government might be willing to pay for a drug.

### A Computationally Efficient Method for Probabilistic computationally efficient algorithm to identify matched

A Computationally Efficient Method for Probabilistic Parameter Threshold Analysis for Health Economic Evaluations computationally efficient algorithm to identify matched We propose algorithm 2 to obtain the parameter threshold value, computationally efficient algorithm to identify matched threshold analysis can help to identify the maximum price that a government might be willing to pay for a drug.A Computationally Efficient Ground-Motion Selection computationally efficient algorithm to identify matchedThe variance of the target response spectrum is usually ignored or accounted for in an ad hoc manner, which can bias the structural response estimates. This manuscript proposes a computationally efficient and theoretically consistent algorithm to select ground motions that match the target response spectrum mean and variance.

### A Computationally Efficient Ground-Motion Selection computationally efficient algorithm to identify matched

A Computationally Efficient Ground-Motion Selection Algorithm for Matching a Target Response Spectrum Mean and Variance Nirmal Jayaram,a) Ting Lin,a) M.EERI, and Jack W. Baker,a) M.EERI Dynamic structural analysis often requires the selection of input groundA COMPUTATIONALLY EFFICIENT AMBIGUITY A COMPUTATIONALLY EFFICIENT AMBIGUITY RESOLUTION TECHNIQUE Ron Hatch, Tenny Sharpe, NavCom Technology, Inc. computationally efficient algorithm to identify matched It uses a very efficient algorithm to compute the residuals associated with each potential combination of computationally efficient algorithm to identify matched required to correctly identify the integer ambiguity values. The capability of the technique to rapidly identify the

### A COMPUTATIONALLY EFFICIENT AMBIGUITY

A COMPUTATIONALLY EFFICIENT AMBIGUITY RESOLUTION TECHNIQUE Ron Hatch, Tenny Sharpe, NavCom Technology, Inc. computationally efficient algorithm to identify matched It uses a very efficient algorithm to compute the residuals associated with each potential combination of computationally efficient algorithm to identify matched required to correctly identify the integer ambiguity values. The capability of the technique to rapidly identify the

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