TY  -  
T1  - Numerical Solution of Limited-Data Inverse Problems Arising from X-Ray Tomography and Acoustic Inverse Scattering 
SN  -  /  
UR  - URN:ISBN:978-951-51-1335-1; http://hdl.handle.net/10138/155065 
T3  -  
A1  - Niemi, Esa 
A2  -  
PB  - Helsingin yliopisto 
Y1  - 2015 
LA  - eng 
AB  - Inverse problems arise, for example, from various imaging applications in medicine and physics. Their inherent property is ill-posedness; even a very small error in the measurement data can lead to a large error in the reconstruction. To overcome this difficulty, regularization is necessary for the inversion. 

In this work three new computational regularization methods for limited-data inverse problems are introduced and studied. The problems of special interest are stationary and dynamic X-ray... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - matematiikka 
N1  -   
PP  -  
ER  -