conjugate gradient optimization algorithm
A modified three term PRP conjugate gradient algorithm for optimization models
... nonlinear conjugate gradient (CG) algorithm is a very effective method for optimization, especially for large-scale problems, because of its low memory requirement and ...CG algorithm ...
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LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... The algorithm ABCED Conjugate Gradient Methods with 5 different of popular conjugate direction equations have been programmed into C++ and tested to the selected 21 global optimization ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... using conjugate gradient (CG) with combination of particle swarm optimization (PSO) and genetic algorithm ...new algorithm is called ...each algorithm. Simulation results show ...
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A hybrid conjugate gradient method for optimization problems
... which were collected by Neculai Andrei. Since this new method is the hybrid method of the PRP method and the WYL method, we test Algorithm 1 with the WWP line search and compare its performance with those of the ...
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A Conjugate Gradient Method for Unconstrained Optimization Problems
... In this section, we report some results of the numerical experiments. It is well known that there exist many new conjugate gradient methods see 1, 13–16, 18, 19, 29, 30 which have good properties and good ...
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A New Preconditioned Conjugate Gradient Method for Optimization
... unconstrained optimization test problems used in our experiments are listed in Table I and are primarily found in [14] and ...the algorithm developed in ...our algorithm both utilize a weighting ...
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A conjugate gradient algorithm and its application in large scale optimization problems and image restoration
... unconstrained optimization problems, a modified PRP conjugate gradient algorithm is proposed and is found to be interesting because it combines the steepest descent algorithm with the ...
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QUANTUM ANALYSIS OF THE INTERACTION OF VORTIOXETINE VS NEUROTRANSMITTERS
... Geometry Optimization: Algorithms Polak-Ribiere (conjugate ...condition gradient 0.1 kcal / Amol. Algorithm Polak-Ribiere (conjugate gradient), the termination condition or 1000 ...
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Three New Hybrid Conjugate Gradient Methods for Optimization
... These three tables show the performance of these three methods relative to the iterations, It is easily to see that, for each algorithm, are all very efficient, especially for the problems such as s201, s207, ...
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Vol 3, No 12 (2012)
... nonlinear conjugate gradient methods [6], ABS- MPVT algorithm [15] are used for solving unconstrained optimization ...new algorithm [8] is used for solving unconstrained ...
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A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization
... (1.7) in which 1 . It possessed the sufficient descent property for any line search, and had an advancement that the directions would approach to the steepest descent directions while the steplength was small. They ...
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Modified HS conjugate gradient method for solving generalized absolute value equations
... minimization optimization method and a generalized Newton method, ...iterative algorithm for solving ...Newton algorithm to solve ...nonlinear conjugate gradient method with smaller ...
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A New Nonlinear Conjugate Gradient Method Based on the Scaled Matrix
... new algorithm has been shown to be globally convergent and satisfies the descent ...convex optimization. Table 8 saves the new algorithm of ( 42 )% NOI and ( 41 )% IRS ...
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Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization
... unconstrained optimization problems from [18], which indicates the proposed method possesses better performances when compared with the classic PRP method, CG-DESCENT method and DSP-CG ...our algorithm, ...
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Machine learning in Dynamic Adaptive Streaming over HTTP (DASH)
... in optimization, parallel computing, matrix algebra and signal processing ...to conjugate gradient and Levenberg-Marquardt variations of the backpropagation algorithm (BA), the Neural Network ...
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Parallel Computation of a Maximum-Likelihood Estimator of a Physical Map
... discrete optimization, the former to determine a set of is in conformity with the statistical theory underlying optimal interprobe spacings for a given probe ordering the MLE ...The conjugate ...
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New Homotopy Conjugate Gradient for Unconstrained Optimization using Hestenes- Stiefel and Conjugate Descent
... hybrid algorithm with standard Hestenes – Stiefel (HS) and conjugate direction (CD) ,the comparative tests involve well-known nonlinear problems (standard test function) with different dimension 4 ≤n≤5000, ...
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A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
... we wonder whether, when the condition (32) in Algorithm 1 is replaced to the condition (33) or the condition (34), the similar convergence results can be established. The answer is Yes, and it is interesting that ...
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3. A New Conjugate Gradient for Nonlinear Unconstrained Optimization
... new algorithm (New) with the standard algorithm (H/S), The numerical results of the new algorithm is better than the standard algorithm, As we notice that (NOI), (NOF) of the standard ...
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Global convergence of a modified conjugate gradient method
... In this section, we compare the performance of Algorithm . with those of the PRP+ method [] and the CG-DESCENT method [] in the number of function evaluations and CPU time in seconds with the strong Wolfe ...
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