Explores splines, emphasizing the least-squares method for interpolating splines and demonstrating its application using MATLAB.
Covers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.
Explores the historical development and industrial applications of radiography and computerized tomography with X-rays, gammas, and neutrons.
Covers Energy Dispersive X-ray Microanalysis, explaining how X-rays reveal elemental composition and discussing X-ray generation, detection, efficiency, and quantification.
