[PDF] Top 20 Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization
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Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization
... proposed method is that the generated directions are always ...search condition, we establish the global convergence of the proposed ...of unconstrained optimization problems from [18], which ... See full document
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A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
... the sufficient descent condition is very important to the global convergence of the nonlinear conjugate gradient ...a conjugate gradient method may not be a ... See full document
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A new accelerated conjugate gradient method for large scale unconstrained optimization
... Conjugate gradient methods are widely used for solving large-scale unconstrained opti- mization problems, due to their simplicity and low ...quasi-Newton method to improve the performance of ... See full document
13
A Line Search Algorithm for Unconstrained Optimization
... steepest descent direction as the restart condition automatically when the next iteration point is approximate to the current ...PRP conjugate gradient method (see [4,15] ...PRP ... See full document
7
A scaled three term conjugate gradient method for unconstrained optimization
... this method is that both the sufficient and the conjugacy condi- tions are satisfied and we have global convergence for a uniformly convex ...three-term conjugate gradient method, we are ... See full document
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Three modified Polak Ribière Polyak conjugate gradient methods with sufficient descent property
... (PRP) conjugate gradient methods for unconstrained optimization are ...PRP method proposed by Cheng ...PRP method proposed by Zhang et ...the descent PRP method ... See full document
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A conjugate gradient algorithm for large scale unconstrained optimization problems and nonlinear equations
... steepest descent algorithm is perfect since it is simple and its computational and memory require- ments are ...steepest descent method sometimes fails to solve problems due to the “sawtooth ... See full document
19
Modified HS conjugate gradient method for solving generalized absolute value equations
... the unconstrained optimization problem, we propose a modified HS conjugate gradient method to solve the transformed unconstrained optimization ...given method is ... See full document
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A Modified FR Conjugate Gradient Method with Strong Wolfe Line Search
... a modified FR conjugate gradient method(MFR) is presented for solving unconstrained optimization ...The sufficient descent property of the MFR method is ... See full document
7
New Homotopy Conjugate Gradient for Unconstrained Optimization using Hestenes- Stiefel and Conjugate Descent
... and conjugate direction (CD) ,the comparative tests involve well-known nonlinear problems (standard test function) with different dimension 4 ≤n≤5000, all programs are written in FORTRAN95 language and for ... See full document
6
PRP Type Direct Search Methods for Unconstrained Optimization
... PRP+ method with some descent conjugate gradient methods to make use of the gradient ...These descent conjugate gradient methods for solving unconstrained ... See full document
7
Minimization of Unconstrained Nonpolynomial Large-Scale Optimization Problems Using Conjugate Gradient Method Via Exact Line Search
... large-scale nonlinear optimization ...reliable method for solving large-scale problems. Newton's method is well known and widely used to find zeroes of differentiable ... See full document
5
A Conjugate Gradient Method for Unconstrained Optimization Problems
... hybrid conjugate gradient method for solving unconstrained optimization ...this method possesses the sufficient descent condition only with the parameter σ < ... See full document
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A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization
... new nonlinear conjugate gradient method is proposed for large-scale unconstrained optimiza- ...The sufficient descent property holds without any line ...Zoutendijk ... See full document
5
Global convergence of a modified conjugate gradient method
... The nonlinear conjugate gradient method is one of the best methods to solve uncon- strained optimization ...of unconstrained optimization al- gorithms which is ... See full document
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3. A New Conjugate Gradient for Nonlinear Unconstrained Optimization
... The conjugate gradient method is a very useful technique for solving minimization problems and has wide applications in many ...new conjugate gradient methods by) for nonlinear ... See full document
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Parallel Computation of a Maximum-Likelihood Estimator of a Physical Map
... the conjugate gradient sumption of a uniform distribution of clones along the length of the chromosome is also reasonable since descent procedure was parallelized at the lower ... See full document
23
A THEORETICAL SURVEY OF GRADIENT BASED ALGORITHMS FOR MULTIVARIABLE OPTIMIZATION
... powerful optimization algorithms have been ...challenging optimization problem meets the task of determining which algorithm is appropriate for a given ...the optimization problem of ... See full document
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Computed Tomography Medical Image Compression using Conjugate Gradient
... The conjugate gradient algorithm and feed forward neural network is considered. Feed forward network is used for coding the image. First, an image is divided into sub- blocks and is scanned into a vector. ... See full document
6
Handwritten Character Recognition using Modified Gradient Descent Technique of Neural Networks and Representation of Conjugate Descent for Training Patterns
... proposed method for the handwritten words recognition using the segmentation and descent gradient approach, showed a remarkable enhancement in the ...proposed method requires less epochs ... See full document
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