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Fortran linear inverse problem solver
1.  Sodankylä Geophysical Observatory, University of Oulu, Tähteläntie 62, FIN99600 Sodankylä 
2.  University of Oulu, Sodankylä Geophysical Observatory, Sodankylä 
[1] 
Gunther Uhlmann, Jian Zhai. Inverse problems for nonlinear hyperbolic equations. Discrete & Continuous Dynamical Systems  A, 2021, 41 (1) : 455469. doi: 10.3934/dcds.2020380 
[2] 
YiHsuan Lin, Gen Nakamura, Roland Potthast, Haibing Wang. Duality between range and noresponse tests and its application for inverse problems. Inverse Problems & Imaging, , () : . doi: 10.3934/ipi.2020072 
[3] 
Kha Van Huynh, Barbara Kaltenbacher. Some application examples of minimization based formulations of inverse problems and their regularization. Inverse Problems & Imaging, , () : . doi: 10.3934/ipi.2020074 
[4] 
Wenbin Li, Jianliang Qian. Simultaneously recovering both domain and varying density in inverse gravimetry by efficient levelset methods. Inverse Problems & Imaging, , () : . doi: 10.3934/ipi.2020073 
[5] 
Peizhao Yu, Guoshan Zhang, Yi Zhang. Decoupling of cubic polynomial matrix systems. Numerical Algebra, Control & Optimization, 2021, 11 (1) : 1326. doi: 10.3934/naco.2020012 
[6] 
Shengxin Zhu, Tongxiang Gu, Xingping Liu. AIMS: Average information matrix splitting. Mathematical Foundations of Computing, 2020, 3 (4) : 301308. doi: 10.3934/mfc.2020012 
[7] 
Awais Younus, Zoubia Dastgeer, Nudrat Ishaq, Abdul Ghaffar, Kottakkaran Sooppy Nisar, Devendra Kumar. On the observability of conformable linear timeinvariant control systems. Discrete & Continuous Dynamical Systems  S, 2020 doi: 10.3934/dcdss.2020444 
[8] 
Touria Karite, Ali Boutoulout. Global and regional constrained controllability for distributed parabolic linear systems: RHum approach. Numerical Algebra, Control & Optimization, 2020 doi: 10.3934/naco.2020055 
[9] 
Yongge Tian, Pengyang Xie. Simultaneous optimal predictions under two seemingly unrelated linear randomeffects models. Journal of Industrial & Management Optimization, 2020 doi: 10.3934/jimo.2020168 
[10] 
Parikshit Upadhyaya, Elias Jarlebring, Emanuel H. Rubensson. A density matrix approach to the convergence of the selfconsistent field iteration. Numerical Algebra, Control & Optimization, 2021, 11 (1) : 99115. doi: 10.3934/naco.2020018 
[11] 
Monia Capanna, Jean C. Nakasato, Marcone C. Pereira, Julio D. Rossi. Homogenization for nonlocal problems with smooth kernels. Discrete & Continuous Dynamical Systems  A, 2020 doi: 10.3934/dcds.2020385 
[12] 
Vieri Benci, Sunra Mosconi, Marco Squassina. Preface: Applications of mathematical analysis to problems in theoretical physics. Discrete & Continuous Dynamical Systems  S, 2020 doi: 10.3934/dcdss.2020446 
[13] 
S. Sadeghi, H. Jafari, S. Nemati. Solving fractional Advectiondiffusion equation using Genocchi operational matrix based on AtanganaBaleanu derivative. Discrete & Continuous Dynamical Systems  S, 2020 doi: 10.3934/dcdss.2020435 
[14] 
Yuri Fedorov, Božidar Jovanović. Continuous and discrete Neumann systems on Stiefel varieties as matrix generalizations of the Jacobi–Mumford systems. Discrete & Continuous Dynamical Systems  A, 2020 doi: 10.3934/dcds.2020375 
[15] 
Dan Zhu, Rosemary A. Renaut, Hongwei Li, Tianyou Liu. Fast nonconvex lowrank matrix decomposition for separation of potential field data using minimal memory. Inverse Problems & Imaging, , () : . doi: 10.3934/ipi.2020076 
[16] 
Sihem Guerarra. Maximum and minimum ranks and inertias of the Hermitian parts of the least rank solution of the matrix equation AXB = C. Numerical Algebra, Control & Optimization, 2021, 11 (1) : 7586. doi: 10.3934/naco.2020016 
[17] 
Lars Grüne, Matthias A. Müller, Christopher M. Kellett, Steven R. Weller. Strict dissipativity for discrete time discounted optimal control problems. Mathematical Control & Related Fields, 2020 doi: 10.3934/mcrf.2020046 
[18] 
Shiqiu Fu, Kanishka Perera. On a class of semipositone problems with singular TrudingerMoser nonlinearities. Discrete & Continuous Dynamical Systems  S, 2020 doi: 10.3934/dcdss.2020452 
[19] 
Zhiyan Ding, Qin Li, Jianfeng Lu. Ensemble Kalman Inversion for nonlinear problems: Weights, consistency, and variance bounds. Foundations of Data Science, 2020 doi: 10.3934/fods.2020018 
[20] 
Giuseppina Guatteri, Federica Masiero. Stochastic maximum principle for problems with delay with dependence on the past through general measures. Mathematical Control & Related Fields, 2020 doi: 10.3934/mcrf.2020048 
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