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1141
Numerical performance of Half-Sweep SOR Method for solving second order composite closed Newton-Cotes System
Published 2014“…In this paper, application of the Half-Sweep Successive Over-Relaxation (HSSOR) iterative method is extended by solving second order composite closed Newton-Cotes quadrature (2-CCNC) system. …”
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Conference or Workshop Item -
1142
Fifth order two-point block backward differentiation formulas for solving ordinary differential equations.
Published 2011“…We also discussed further the implementation of the method using Newton Iteration. The numerical results are presented to verify the efficiency of this method as compared to the Classical Backward Differentiation Formula (BDF) method and ode15s in Matlab. …”
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Article -
1143
The hybrid BFGS-CG method in solving unconstrained optimization problems
Published 2014“…In comparison to standard BFGS methods and conjugate gradient methods, the BFGS-CG method shows significant improvement in the total number of iterations and CPU time required to solve large scale unconstrained optimization problems. …”
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Article -
1144
A new diagonal gradient-type method for large scale unconstrained optimization
Published 2013“…This new scheme allows us to improve the accuracy of the Hessian's approximation and is also capable to utilize information gathered about the function in previous iterations. It follows by an scaling approach that employs scaling parameter based upon the proposed weak secant equation to guarantee the positive definiteness of the Hessian's approximation. …”
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Article -
1145
Median polish for final grades of MTH3000- and MTH4000- level courses
Published 2014“…Median polish is resistant to holes in the table, that is, cells that have no values, but it may require a lot of iterations through the data. This paper describes a technique that uses median polish to observe the relationship between students’ attendance in classes with their performance in the final exam. …”
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Article -
1146
The CG-BFGS method for unconstrained optimization problems
Published 2013“…The new algorithm is compared with the quasi-Newton methods in terms of the number of iterations and CPU-time. The Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is used as an updating formula for the approximation of the Hessian for both methods. …”
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Conference or Workshop Item -
1147
SSGARL: hybrid evolutionary computation and reinforcement learning for flexible ligand docking
Published 2014“…Ten ligands of varying flexibility were chosen to bind with thermolysin to compare the performance of SSGARL and Iterated Local Search global optimizer’s algorithm of AutoDock Vina. …”
Conference or Workshop Item -
1148
Numerical performance of half-sweep SOR method for solving second order composite closed Newton-Cotes system
Published 2014“…In this paper, application of the Half-Sweep Successive Over-Relaxation (HSSOR) iterative method is extended by solving second order composite closed Newton-Cotes quadrature (2-CCNC) system. …”
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Conference or Workshop Item -
1149
Computation of cryptosystem based on Lucas functions using addition chain
Published 2010“…At the same time, it also reduces some iteration that is involved in LUC Cryptosystem computation.…”
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Conference or Workshop Item -
1150
Weighted high leverage collinear robust ridge estimator in logistic regression model
Published 2018“…A robust logistic ridge regression (RLR) which incorporates the weighted Bianco and Yohai (WBY) robust estimator with fully iterated logistic ridge regression (LR) is proposed to rectify the combined problems of high leverage points and multicollinearity in a data. …”
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Article -
1151
8 Bit Cmos Hybrid Digital-To-Analog Converter For Bluetooth Low Energy Application
Published 2019“…The hybrid DAC design strategy is based on iterative scheme whose variables are adjusted in a simple way, minimizing the power consumption as well as area and also meeting the design specifications.…”
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Thesis -
1152
The conjugate gradient method for the adjustment of cadastral data in GIS
Published 2001“…The problems are solved by applying an iterative conjugate gradient method (CGM). The proposed method reduces the storage by at least 70% compared to the prevailing usage of the banded storage scheme and significantly speed up processing time as compared to the usual Cholesky Decomposition method.…”
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Monograph -
1153
A Conjugate Gradient Approach to Least Squares Analysis of Cadastral Survey Data
Published 1995“…The nature of cadastral networks is unique compared that of the geodetic or engineering networks and hence require a new approach of the least squares computation. An iterative method known as conjugate gradient is being tested for cadastral applications.…”
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Article -
1154
Global and local convergence of a filter line search method for nonlinear programming.
Published 2007“…Under mild conditions, we will also show that the algorithm converges two step superlinearly when the iterates are near to the solution. …”
Article -
1155
An Efficient Rescaled Perceptron Algorithm for Conic Systems
Published 2010“…A natural condition measure associated with this algorithm is the Euclidean width {tau} of the cone of feasible solutions, and the iteration complexity of the perceptron algorithm is bounded by 1/{tau}2 [see Rosenblatt, F. 1962. …”
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Article -
1156
Decentralized chance-constrained finite-horizon
Published 2011“…We propose a dual decomposition-based algorithm, namely Market-based Iterative Risk Allocation (MIRA), that solves the multi-agent problem in a decentralized manner. …”
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Article -
1157
Cloth simulation using an enhanced Catmull-Clark subdivision scheme and collision detection in a virtual environment
Published 2019“…The enhanced subdivision scheme was only able to create an acceptably smooth surface until the second iteration of the subdivision. On the third iteration, noticeable sharp points were present, which indicated that the enhanced subdivision scheme did not improve the original scheme. …”
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Article -
1158
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1159
Holistic optimization framework for the operation of urban energy systems
Published 2021“…Genetic algorithms are population-based metaheuristics and can require a considerable amount iterations to converge. This issue is further exacerbated in the framework where a mixed-integer linear program has to be solved in each iteration. …”
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Thesis-Doctor of Philosophy -
1160
Object detection with deep neural networks under constrained scenarios
Published 2023“…Second, deep-neural-network-based object detectors usually require long training iterations, which are time-consuming and expensive, or even unaffordable to many researchers or companies. …”
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Thesis-Doctor of Philosophy