Wang, Zhi; Navon, I. M.; Zou, X.; Le Dimet, F. X. A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products. (English) Zbl 0831.90124 Comput. Optim. Appl. 4, No. 3, 241-262 (1995). Summary: A modified version of the truncated-Newton algorithm of S. G. Nash [SIAM J. Sci. Stat. Comput. 6, 599-616 (1985; Zbl 0592.65038)] is presented differing from it only in the use of an exact Hessian vector product for carrying out the large-scale unconstrained optimization required in variational data assimilation. The exact Hessian vector product is obtained by solving an optimal control problem of distributed parameters (i.e. the system under study occupies a certain spatial and temporal domain and is modeled by partial differential equations). The algorithm is referred to as the adjoint truncated-Newton algorithm. The adjoint truncated-Newton algorithm is based on the first and the second order adjoint techniques allowing to obtain a better approximation to the Newton line search direction for the problem tested here. The adjoint truncated-Newton algorithm is applied here to a limited-area shallow water equations model with model generated data where the initial conditions serve as control variables. We compare the performance of the adjoint truncated-Newton algorithm with that of the original truncated- Newton method and the LBFGS (Limited Memory BFGS)method of D. C. Liu and J. Nocedal [Math. Program., Ser. B 45, No. 3, 503-528 (1989; Zbl 0696.90048)]. Our numerical tests yield results which are twice as fast as these obtained by the truncated-Newton algorithm and are faster than the LBFGS method both in terms of number of iterations as well as in terms of CPU time. Cited in 1 ReviewCited in 13 Documents MSC: 90C52 Methods of reduced gradient type 90C90 Applications of mathematical programming 86A10 Meteorology and atmospheric physics 90C30 Nonlinear programming Keywords:meteorology applications; limited memory BFGS; truncated-Newton algorithm Citations:Zbl 0592.65038; Zbl 0696.90048 Software:Algorithm 500; TNPACK; L-BFGS; tn PDF BibTeX XML Cite \textit{Z. Wang} et al., Comput. Optim. Appl. 4, No. 3, 241--262 (1995; Zbl 0831.90124) Full Text: DOI References: [1] H.T. Banks and K. Kunisch, ?Estimation techniques for distributed parameter systems?, Birkhauser: Boston (Systems & Control: Formulations & Applications), Vol. 11, p. 315, 1989. · Zbl 0695.93020 [2] J. Burger, J.L. Brizaut, and M. Pogu, ?Comparison of two methods for the calculation of the gradient and of the Hessian of the cost functions associated with differential systems? Mathematics and Computers in Simulation, Vol. 34, pp. 551-562, 1992. [3] J.C.P. 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