Search Results - (( java application optimized algorithm ) OR ( set iteration method algorithm ))
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Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance
Published 2021“…Each dataset is set to 10 different problems and the result of the iteration number was as follows: first datasets; new augmentation algorithm = 2, QSM = 4, BLSA = 7, and Simplex = 13 and second datasets; new augmentation algorithm = 1, QSM = 3, BLSA = 4, and Simplex = 8.…”
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Thesis -
2
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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3
Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
Published 1993“…The double iterative loop structures of the proposed algorithms use the real process measurement within the outer loops while the inner loops involve model based computation only. …”
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4
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Iterative methods for solving split common fixed point problems in Hilbert spaces
Published 2016“…We also suggest some iterative methods for solving the split common fixed point problems for the class of total quasi asymptotically nonexpansive mappings and prove the convergence results of the proposed algorithms. …”
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7
Comparison Of Various Alogrithms In Different Loading Of Load Flow Analysis
Published 2018“…The set of nonlinear algebraic equations is solved using iteration methods. …”
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Monograph -
8
Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems
Published 2023“…It is an iterative algorithm with descent properties that reduces computational cost by using derivatives of random data points. …”
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9
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
10
Logistic regression methods for classification of imbalanced data sets
Published 2012“…These results can be seen as further explanation on the success of Truncated Newton method in TR-KLR and TR Iteratively Re-weighted Least Square (TR-IRLS) algorithm respectively, because of the equivalence of iterative method used by these algorithms. …”
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11
Quasi-Newton type method via weak secant equations for unconstrained optimization
Published 2021“…Armijo condition is implemented in the algorithms to generate monotone property in each iteration. …”
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12
An enhanced robust association rules method for missing values imputation in Arabic language data set
Published 2023“…This method deals with high missing value rates by adjusting the support threshold in every iteration of the algorithm. …”
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13
Quantitative study of iterative reconstruction algorithms of spect/ct in bone scan: a clinical and phantom study
Published 2024“…This study evaluates the impact of iterative reconstruction algorithms with various attenuation correction methods on SPECT quantification accuracy and image quality in bone scan across different iteration numbers in both phantom and clinical settings. …”
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Monograph -
14
Identification of manipulator kinematics parameters through iterative method
“…To achieve the objective, an iterative based optimization technique was formulated which minimizes the Cartesian positioning of a manipulator by determining its rigid geometrical parameters such as the link lengths, twists, and off-sets joint angles. …”
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15
Two dimensional datamodeling and Chebyshev approximation of spline
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…Also, a one-step iterative algorithm, called expected rank algorithm, is introduced which is more complicated than the estimation-approximation algorithm, but more accurate. …”
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18
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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19
New Iterative method for solving fuzzy nonlinear equation
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Working Paper -
20
Logistic Regression Methods with Truncated Newton Method
Published 2012“…While proposed NTR-LR has performed better training time than RLR with Newton-Raphson (RLR-NR) method on Letter Image data set. Moreover, both proposed algorithms have showed consistency with the convergence theory and have promising results, i.e. accurate and stable classification, on image data sets respectively.…”
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