个人简介：
黄宝华，女，1986年1月出生，福建泉州南安人，博士，硕士研究生导师。
联系方式：
电子邮箱：baohuahuang@126.com、baohuahuang@fjnu.edu.cn
通讯地址：福建省福州市闽侯县福建师范大学旗山校区理工楼
研究兴趣：数据科学中的张量计算，矩阵方程数值解法，互补问题理论与数值解法，绝对值方程理论与数值解法等。
社会兼职：《Applied Numerical Mathematics》、《Journal of the Franklin Institute》等期刊审稿人，美国数学评论评论员（编号:138972）
教育及工作经历：
2021/07-至今，福建师范大学数学与统计学院，教师. (入选福建师范大学“青年英才计划”)
2019/07-2021/06，华南师范大学，数学科学学院，博士后
2016/09-2019/06，福建师范大学，计算数学专业，博士
2008/09-2011/06，福建师范大学，基础数学专业，硕士
2004/09-2008/07，福建师范大学，数学与应用数学专业（师范），学士
科研项目：
1. 国家自然科学基金青年项目，12001211，Sylvester张量方程的算法及在图像复原中的应用，2021/01-2023/12，24万元，主持(在研)
2. 中国博士后科学基金面上一等资助, 2019M660203，张量方程的数值求解算法研究及其应用, 2019/09-2021/06，12万元，主持(已结题)
3. 国家自然科学基金面上项目，12171168，低秩张量最优化方法及其在交通数据处理中的应用，2022/01-2025/12，51万元，参与(在研)
4. 国家自然科学基金面上项目，12071159，在数据科学中的张量分解及其非凸低秩逼近的理论与数值分析，2021/01-2024/12，51万元，参与(在研)
5. 国家自然科学基金面上项目，61976053，量子非线性特征学习及应用研究，2020/01-2023/12，56万元，参与(在研)
6. 广东省自然科学基金面上项目，2021A1515010368，随机规划的渐近分析和随机梯度算法，2021/01-2023/12，10万元，参与(在研)
发表学术论文：
[1] Bao-Hua Huang, Wen Li. A modified SOR-like method for absolute value equations associated with second order cones. Journal of Computational and Applied Mathematics, 2022, 400: 113745.
[2] Bao-Hua Huang, Chang-Feng Ma. The iterative solution of a class of tensor equations via Einstein product with a tensor inequality constraint. Linear and Multilinear Algebra, 2021. DOI: https://doi.org/10.1080/03081087.2021.1954140
[3] Bao-Hua Huang. Numerical study on Moore-Penrose inverse of tensors via Einstein product. Numerical Algorithms, 2021, 87: 1767-1797.
[4] Bao-Hua Huang, Wen Li. Numerical subspace algorithms for solving the tensor equations involving Einstein product. Numerical Linear Algebra with Applications, 2021, 28: e2351.
[5] Bao-Hua Huang, Chang-Feng Ma. Global least squares methods based on tensor form to solve a class of generalized Sylvester tensor equations. Applied Mathematics and Computation, 2020, 369: 124892.
[6] Bao-Hua Huang, Chang-Feng Ma. An iterative algorithm to solve the generalized Sylvester tensor equations. Linear and Multilinear Algebra, 2020, 68: 1175-1200.
[7] Bao-Hua Huang, Chang-Feng Ma. Some accelerated iterative algorithms for solving nonsymmetric algebraic Riccati equations arising in transport theory. International Journal of Computer Mathematics, 2020, 97: 1819-1839.
[8] Bao-Hua Huang, Ya-Jun Xie, Chang-Feng Ma. Krylov subspace methods to solve a class of tensor equations via the Einstein product. Numerical Linear Algebra with Applications, 2019, 26: e2254.
[9] Bao-Hua Huang, Chang-Feng Ma. The least squares solution of a class of generalized Sylvester-transpose matrix equations with the norm inequality constraint. Journal of Global Optimization, 2019, 73: 193-221.
[10] Bao-Hua Huang, Chang-Feng Ma. Convergent conditions of the generalized Newton method for absolute value equation over second order cones. Applied Mathematics Letters, 2019, 92: 151-157.
[11] Bao-Hua Huang, Chang-Feng Ma. Iterative criteria for identifying strong H-tensors. Journal of Computational and Applied Mathematics, 2019, 352: 93-109.
[12] Bao-Hua Huang, Chang-Feng Ma. Convergence analysis of the inexact Uzawa algorithm for nonlinear saddle point problems. Numerical Mathematics: Theory Methods and Applications, 2019, 12: 1093-1118.
[13] Bao-Hua Huang, Chang-Feng Ma. Finite iterative algorithm for the symmetric periodic least squares solutions of a class of periodic Sylvester matrix equations. Numerical Algorithms, 2019, 81: 377-406.
[14] Bao-Hua Huang, Chang-Feng Ma. A Shamanskii-like self-adaptive Levenberg-Marquardt method for nonlinear equations. Computers and Mathematics with Applications, 2019, 77: 357-373.
[15] Bao-Hua Huang, Chang-Feng Ma. The modulus-based Levenberg-Marquardt method for solving linear complementarity problem. Numerical Mathematics: Theory Methods and Applications, 2019, 12: 154-168.
[16] Bao-Hua Huang, Chang-Feng Ma. Some iterative algorithms for positive definite solution to nonlinear matrix equations. Journal of Applied Analysis and Computation, 2019, 9: 526-546.
[17] Bao-Hua Huang, Chang-Feng Ma. Some criteria for identifying strong H-tensors and its applications. Linear and Multilinear Algebra, 2019, 67: 1146-1173.
[18] Bao-Hua Huang, Chang-Feng Ma. Some iterative methods for the largest positive definite solution to a class of nonlinear matrix equation. Numerical Algorithms, 2018, 79: 153-178.
[19] Bao-Hua Huang, Chang-Feng Ma. Accelerated modulus-based matrix splitting iteration method for a class of nonlinear complementarity problems. Computational and Applied Mathematics, 2018, 37: 3053-3076.
[20] Bao-Hua Huang, Chang-Feng Ma. An iterative algorithm for the least Frobenius norm Hermitian and generalized skew Hamiltonian solutions of the generalized coupled Sylvester-conjugate matrix equations. Numerical Algorithms, 2018, 78: 1271-1301.
[21] Bao-Hua Huang, Chang-Feng Ma. Extending GCR algorithm for the least squares solutions on a class of Sylvester matrix equations. Numerical Mathematics: Theory Methods and Applications, 2018, 11: 140-159.
[22] Bao-Hua Huang, Chang-Feng Ma. The relaxed gradient-based iterative algorithms for a class of generalized coupled Sylvester-conjugate matrix equations. Journal of the Franklin Institute, 2018, 355: 3168-3195.
[23] Bao-Hua Huang, Chang-Feng Ma. An iterative algorithm for the least Frobenius norm least squares solution of a class of generalized coupled Sylvester-transpose linear matrix equations. Applied Mathematics and Computation, 2018, 328: 58-74.
[24] Bao-Hua Huang, Chang-Feng Ma. Gradient-based iterative algorithms for generalized coupled Sylvester-conjugate matrix equations. Computers and Mathematics with Applications, 2018, 75: 2295-2310.
[25] Bao-Hua Huang, Chang-Feng Ma. Symmetric least squares solution of a class of Sylvester matrix equations via MINIRES algorithm. Journal of the Franklin Institute, 2017, 354: 6381-6404.
[26] Bao-Hua Huang, Chang-Feng Ma. On the least squares generalized Hamiltonian solution of generalized coupled Sylvester-conjugate matrix equations. Computers and Mathematics with Applications, 2017, 74: 532-555.