Jun-Feng Yin

发表

On the convergence of projected triangular decomposition methods for pricing American options with stochastic volatility

Ning Zheng, Jun-Feng Yin, 2013, Appl. Math. Comput..

A class of preconditioners based on matrix splitting for nonsymmetric linear systems

Jun-Feng Yin, Junfeng Yin, 2010, Appl. Math. Comput..

Accelerated modulus-based matrix splitting iteration methods for a restricted class of nonlinear complementarity problems

Rui Li, Jun-Feng Yin, Junfeng Yin, 2017, Numerical Algorithms.

A Class of Algorithms for Continuous Wavelet Transform Based on the Circulant Matrix

Jun-Feng Yin, Hua Yi, Shi-You Xin, 2018, Algorithms.

On adaptively accelerated Arnoldi method for computing PageRank

Michael K. Ng, Jun-Feng Yin, Guo-Jian Yin, 2012, Numer. Linear Algebra Appl..

Greville’s method for preconditioning least squares problems

Jun-Feng Yin, Ken Hayami, Xiaoke Cui, 2011, Adv. Comput. Math..

GMRES Methods for Least Squares Problems

Jun-Feng Yin, Ken Hayami, Tokushi Ito, 2010, SIAM J. Matrix Anal. Appl..

On Arnoldi Method Accelerating PageRank Computations

Jun-Feng Yin, Guo-Jian Yin, 2010, WISM.

Symmetric finite volume element approximations of second order linear hyperbolic integro-differential equations

Jun-Feng Yin, Xiao-Ting Gan, Junfeng Yin, 2015, Comput. Math. Appl..

Modified incomplete orthogonal factorization methods using Givens rotations

Jun-Feng Yin, Zhong-Zhi Bai, Z. Bai, 2009, Computing.

Accelerated modulus-based matrix splitting iteration methods for linear complementarity problem

Ning Zheng, Jun-Feng Yin, 2012, Numerical Algorithms.

Modulus-Type Inner Outer Iteration Methods for Nonnegative Constrained Least Squares Problems

Ning Zheng, Jun-Feng Yin, Ken Hayami, 2016, SIAM J. Matrix Anal. Appl..

Block Triangular and Skew-Hermitian Splitting Methods for Positive-Definite Linear Systems

Gene H. Golub, Jun-Feng Yin, Linzhang Lu, 2005, SIAM J. Sci. Comput..

Convergence of accelerated modulus-based matrix splitting iteration methods for linear complementarity problem with an H+-matrix

Ning Zheng, Jun-Feng Yin, 2014, J. Comput. Appl. Math..

Aitken extrapolation method for computing the largest eigenvalue of nonnegative tensors

Ning Zheng, Jun-Feng Yin, Xiao-He Kong, 2015, Appl. Math. Comput..

Alternative gradient algorithms for computing the nearest correlation matrix

Yu Zhang, Jun-Feng Yin, 2013, Appl. Math. Comput..

Symmetric finite volume method for second order variable coefficient hyperbolic equations

Jun-Feng Yin, Xiao-Ting Gan, 2015, Appl. Math. Comput..

Modulus-based iterative methods for constrained Tikhonov regularization

Ning Zheng, Jun-Feng Yin, Lothar Reichel, 2017, J. Comput. Appl. Math..

A generalized modulus-based Newton method for solving a class of non-linear complementarity problems with P-matrices

Jun-Feng Yin, Rui Li, Zhi-Lin Li, 2021, Numer. Algorithms.

Randomized block Kaczmarz methods with k-means clustering for solving large linear systems

Jun-Feng Yin, Ke Zhang, Xiang-Long Jiang, 2022, J. Comput. Appl. Math..

Splitting iterative methods for fuzzy system of linear equations

Jun-Feng Yin, Junfeng Yin, Ke Wang, 2009 .

MODULUS-BASED SUCCESSIVE OVERRELAXATION METHOD FOR PRICING AMERICAN OPTIONS

Ning Zheng, Jun-Feng Yin, 2013 .

Preconditioned GMRES methods with incomplete Givens orthogonalization method for large sparse least-squares problems

Jun-Feng Yin, Ken Hayami, 2009 .

Numerical study on incomplete orthogonal factorization preconditioners

Jun-Feng Yin, Iain S. Duff, Zhong-Zhi Bai, 2009 .

Preconditioned Krylov subspace method for the solution of least-squares problems

Jun-Feng Yin, Ken Hayami, Zhong‐Zhi Bai, 2007 .

A Fast Shift-Splitting Iteration Method for Nonsymmetric Saddle Point Problems

Jun-Feng Yin, Quan-Yu Dou, Quanyu Dou, 2017 .

Finite Volume Method for Pricing European and American Options under Jump-Diffusion Models

Jun-Feng Yin, Xiao-Ting Gan, Yun-Xiang Guo, 2017 .

ON TWO ITERATION METHODS FOR THE QUADRATIC MATRIX EQUATION

Jun-Feng Yin, Zhong-Zhi Bai, Xiao-Xia Guo, 2005 .