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Model fitting by least squares
MULTIVARIATE LEAST SQUARES
Inverse filter example
Normal equations
Differentiation by a complex vector
Time domain versus frequency domain
Unknown filter
Unknown input: deconvolution with a known filter
ITERATIVE METHODS
Method of random directions and steepest descent
Conditioning the gradient
Why steepest descent is so slow
Conjugate gradient
Magic
Conjugate-gradient theory for programmers
First conjugate-gradient program
Preconditioning
INVERSE NMO STACK
MARINE DEGHOSTING
Synthetics
CG METHODOLOGY
Programming languages and this book
References
About this document ...
Stanford Exploration Project
10/21/1998
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