Suchergebnisse - "Conjugate gradient algorithms"

Open Problems in Nonlinear Conjugate Gradient Algorithms for Unconstrained Optimization von Andrei, Neculai

“… The paper presents some open problems associated to the nonlinear conjugate gradient algorithms for unconstrained optimization …”
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An optimal choice Dai-Liao conjugate gradient algorithm for unconstrained optimization and portfolio selection von Sabi'u, Jamilu, Sulaiman, Ibrahim Mohammed, Kaelo, P., Malik, Maulana, Kamaruddin, Saadi Ahmad

“… In this research, we propose an optimal choice for the non-negative constant in the Dai-Liao conjugate gradient formula based on the prominent Barzilai-Borwein …”
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A new three-term conjugate gradient algorithm with modified gradient-differences for solving unconstrained optimization problems von Guo, Jie, Wan, Zhong

“… On the basis of a modified gradient-difference, this article aims to present a new three-term conjugate gradient algorithm to efficiently solve unconstrained optimization problems …”
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An online conjugate gradient algorithm for large-scale data analysis in machine learning von Xue, Wei, Wan, Pengcheng, Li, Qiao, Zhong, Ping, Yu, Gaohang, Tao, Tao

“… In recent years, the amount of available data is growing exponentially, and large-scale data is becoming ubiquitous. Machine learning is a key to deriving …”
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A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization von Andrei, Neculai

“… This letter presents a scaled memoryless BFGS preconditioned conjugate gradient algorithm for solving unconstrained optimization problems …”
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Another hybrid conjugate gradient algorithm for unconstrained optimization von Andrei, Neculai

“… Another hybrid conjugate gradient algorithm is subject to analysis. The parameter β k is computed as a convex combination …”
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Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization von Andrei, Neculai

“… An accelerated hybrid conjugate gradient algorithm represents the subject of this paper …”
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Advancing SVM classification: Parallelizing conjugate gradient for monotonicity enforcement von Chuang, Hui-Chi, Chen, Chih-Chuan, Li, Sheng-Tun

“… •Conjugate gradient is used to minimize subject to linear equality constraints.•The model is applicable to large-scale and complex problems …”
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On the estimation of destructive cure rate model: A new study with exponentially weighted Poisson competing risks von Pal, Suvra, Roy, Souvik

“… A new estimation method is proposed founded upon a nonlinear conjugate gradient‐type algorithm having an efficient line search technique for cure rate models with competing risks, which are subject to elimination …”
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POLAK-RIBIERE CONJUGATE GRADIENT ALGORITHM IN PREDICTING THE PERCENTAGE OF OPEN UNEMPLOYMENT IN NORTH SUMATRA PROVINCE von Amalya, Nanda, Solikhun, Solikhun

“… The economic problem that has a direct impact on human life and welfare is unemployment. One of the cities in Indonesia with the highest unemployment rate is …”
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Joint Multicast and Unicast Beamforming for Coded Caching von Zhong, Shan, Wang, Xiaodong

“… We propose a Riemannian conjugate gradient algorithm to solve the problem, which operates on the multi-sphere manifold of the parameter space and has a low computational complexity but better performance compared with the existing semi-definite relaxation methods. Extensive simulation results are provided to demonstrate the performance of the proposed systems …”
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Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning von Wang, Weiqun, Shi, Weiguo, Hou, Zeng-Guang, Chen, Badong, Liang, Xu, Ren, Shixin, Wang, Jiaxing, Peng, Liang

“… First, an sEMG-torque model is designed in comprehensive consideration of the previous research results, the requirement for subject-specific adjustment and the coupling between the muscle or muscle …”
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A cooperative conjugate gradient method for linear systems permitting efficient multi-thread implementation von Bhaya, Amit, Bliman, Pierre-Alexandre, Niedu, Guilherme, Pazos, Fernando A.

“… This paper revisits, in a multi-thread context, the so-called multi-parameter or block conjugate gradient (B-CG) methods, first proposed as sequential …”
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Two-dimensional inversion of magnetotelluric data with consecutive use of conjugate gradient and least-squares solution with singular value decomposition algorithms von Candansayar, M. Emin

“… ABSTRACT I investigated the two‐dimensional magnetotelluric data inversion algorithms in studying two significant aspects within a linearized inversion …”
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A hybridization of the Hestenes-Stiefel and Dai-Yuan Conjugate Gradient Methods von Laylani, Yoksal, Khudhur, Hisham M., Nori, Edrees M., Abbo, Khalil K.

“… In the process of studying and implementing conjugate gradient algorithms, it is standard practice to assume that the descent condition is true …”
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SCG Backpropagation Based Prediction of Stressed EEG Spectrum von Upadhyay, Prabhat Kumar, Nagpal, Chetna

“… Features extracted in terms of wavelet coefficients are further classified using scaled conjugate gradient algorithm (SCG …”
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An Intelligent Diagnosis Flu System Based on Adaptive Neuro-Fuzzy Classifer von Hsieh, Sheng-Ta, Lin, Chun-Ling

“… This study adopts existing three adaptive-neuro-fuzzy classifiers which are neuro-fuzzy classifier with a scaled conjugate gradient algorithm (NFCSCG …”
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Solving Unconstrained Nonlinear Programs Using ACCPM von Dehghani, Ahad

“… We also report a comparison of our method with some existing algorithms: the steepest descent method and nonlinear conjugate gradient algorithms …”
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Superfast Low-Rank Approximation and Least Squares Regression von Pan, Victor Y, Luan, Qi, Svadlenka, John, Zhao, Liang

“… Low Rank Approximation is among most fundamental subjects of numerical linear algebra having important applications to various areas of modern computing …”
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Higher order reconstruction for MRI in the presence of spatiotemporal field perturbations von Wilm, Bertram J., Barmet, Christoph, Pavan, Matteo, Pruessmann, Klaas P.

“… Despite continuous hardware advances, MRI is frequently subject to field perturbations that are of higher than first order in space and thus violate the traditional k …”
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