References

• Gill, P.E., Murray, W., and Wright, M.H., 1981, Practical optimization: Academic Press.

• Gorlen, K.E., Orlow, S.M., and Plexico, P.S., 1990, Data abstraction and object-oriented programming in C++: J. Wiley.

• Hestenes, M.R., and Stiefel, E., 1952, Methods of conjugate gradients for solving linear systems: J. Res. Natl. Bur. Stand., 49, 409-436.

• Luenberger, D.G., 1973, Introduction to linear and nonlinear programming: Addison-Wesley.

• Nolet, G., 1985, Solving or resolving inadequate and noisy tomographic systems: J. Comp. Phys., 61, 463-482.

• Paige, C.C., and Saunders, M.A., 1982a, LSQR: an algorithm for sparse linear equations and sparse least squares: Assn. Comp. Mach. Trans. Mathematical Software, 8, 43-71.

• Paige, C.C., and Saunders, M.A., 1982b, Algorithm 583, LSQR: sparse linear equations and least squares problems: Assn. Comp. Mach. Trans. Mathematical Software, 8, 195-209.

• Press, W.H. et al., 1989, Numerical recipes: the art of scientific computing: Cambridge University Press.

• Strang, G., 1986, Introduction to applied mathematics: Wellesley-Cambridge Press.