[PDF] Top 20 A New Preconditioned Conjugate Gradient Method for Optimization
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A New Preconditioned Conjugate Gradient Method for Optimization
... A new hybrid Conjugate Gradient (CG) method that generates weighted search directions is proposed in this ...the method developed in this paper need not be explicitly ...the new ... See full document
8
New Homotopy Conjugate Gradient for Unconstrained Optimization using Hestenes- Stiefel and Conjugate Descent
... The results are given in below table is specifically quote the number of functions NOF and the number of iteration NOI .experimental results in below table confirm that the new CG method is superior to ... See full document
6
Modified HS conjugate gradient method for solving generalized absolute value equations
... unconstrained optimization problem We will start by showing that ...unconstrained optimization prob- lem with an objective function that is continuously ... See full document
12
High-Resolution Source Localization Algorithm Based on the Conjugate Gradient
... a new algorithm for the direction of arrival (DOA) estimation of P radiating ...the conjugate gradient (CG) ...nal gradient vectors are derived to form a basis of the signal ...CG-based ... See full document
9
Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization
... each method, we plot the fraction P of problems for which the method is within a factor τ of the best ...a method is fastest; the right side gives the percentage of the test problems that were ... See full document
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A Parallel Preconditioned Bi-Conjugate Gradient Stabilized Solver for the Poisson Problem
... A − process.It is to transform Ax = b into an equivalent system, and the coefficient matrix condition number is far less than the cond (A) linear algebraic equations.The equivalent system of linear equations select the ... See full document
8
Global convergence of a modified conjugate gradient method
... modified conjugate gradient method to solve unconstrained optimization problems is proposed which satisfies the sufficient descent condition in the case of the strong Wolfe line search, and its ... See full document
12
A scaled three term conjugate gradient method for unconstrained optimization
... classical conjugate gradi- ent methods PRP [] and FR [] can be seen as memoryless BFGS (see Shanno ...three-term conjugate gradient method by incorporating the DFP updating scheme of the ... See full document
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3. A New Conjugate Gradient for Nonlinear Unconstrained Optimization
... the 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 algorithm ... See full document
13
MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... A new population will now develop from this initial population using three basic fundamental genetic ...the new population is evaluated using fitness ...any new individuals into the population ... See full document
7
A New Conjugate Gradient Projection Method for Solving Stochastic Generalized Linear Complementarity Problems
... a new conjugate gradient projection method is given for solving the stochastic generalized linear com- plementarity ...the conjugate gradient projection method is proved ... See full document
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LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... 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 problems as listed in ... See full document
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A STUDY ON CERTAIN NEW NUMERICAL ALGORITHMS FOR MINIMIZATION OF NON LINEAR FUNCTIONS
... nonlinear conjugate gradient methods [8], a scaled nonlinear conjugate gradient algorithm[2], a method called, ABS-MPVT algorithm [10] are used for solving unconstrained ... See full document
12
A conjugate gradient algorithm for large scale unconstrained optimization problems and nonlinear equations
... many optimization algorithms, such as Newton, quasi-Newton, and bundle ...large-scale optimization problems because they need to store and calculate relevant matrices, whereas the conju- gate ... See full document
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Minimization of Unconstrained Nonpolynomial Large-Scale Optimization Problems Using Conjugate Gradient Method Via Exact Line Search
... Attempting to optimize some large scale unconstrained functions that are non-polynomial in nature usually pose a bit of challenge. This usual challenge in optimizing this set of functions is what informed the choice of ... See full document
5
Alternate Iterative Algorithms for Minimization of Non-linear Functions
... nonlinear conjugate gradient methods [3], a scaled nonlinear conjugate gradient algorithm[1], a method called, ABS-MPVT algorithm [12] are used for solving unconstrained ... See full document
9
Dai Kou type conjugate gradient methods with a line search only using gradient
... type conjugate gradient methods, then the improved methods of this paper have several ...nonlinear optimization () only requiring gradient information, and they can be used to solve some ... See full document
17
Formulation of a Preconditioned Algorithm for the Conjugate Gradient Squared Method in Accordance with Its Logical Structure
... Abstract In this paper, we propose an improved preconditioned algorithm for the conjugate gradient squared method improved PCGS for the solution of linear equations.. Further, the logica[r] ... See full document
18
A new accelerated conjugate gradient method for large scale unconstrained optimization
... that conjugate gradient methods combining with BFGS updat- ing technique represent an interesting computational innovation which produce efficient conjugate gradient ...some new methods ... See full document
13
Moving force identification based on modified preconditioned conjugate gradient method
... modified preconditioned conjugate gradient (M-PCG) method for moving force identification (MFI) by improving the conjugate gradient (CG) and preconditioned ... See full document
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