Titlebook: Computing Methods in Optimization Problems; Papers presented at G. Arienti,A. Colonelli Daneri,D. G. Schultz Conference proceedings 1969 S

SHRIK

https://doi.org/10.1007/3-7985-1622-7ined from first-order considerations while the scale factor for the variations is obtained from second-order considerations. Two numerical examples illustrating the convergence properties of the algorithm are supplied.

indemnify

Haphazard

松雞

Variational Approach to the Gradient Method: Theory and Numerical Experiments,ined from first-order considerations while the scale factor for the variations is obtained from second-order considerations. Two numerical examples illustrating the convergence properties of the algorithm are supplied.

密碼

Optimization of a Quasistochastic Class of Multiperiod Investments,um investment policy is viewed as a dynamic programming problem. Very strong restrictions imposed on decisions and system states reduce significatly the amount of computation. The computational procedure has been tested on a series of test problems.

偽證

New Algorithms for Determining Optimal Control: A Differential Dynamic Programming Approach,rajectory are integrated in reverse time, yielding an improved control law. This control law is applied to the system equations, producing a new, improved trajectory. By continued iteration, the procedure produces control functions which successively approximate to the optimal control function.

GILD

synovitis

https://doi.org/10.1007/3-540-28830-9 the national economy is, by its very nature, a multidimensional system and the feedback control theory of the 1950 time period was generally unable to cope with this multidimensionality in a useful manner. Also, the development of dynamic macroeconomic models was not at a level for which meaningful

prostate-gland

Therapeutisches Arbeiten mit Tr?umencal functional forms nor extend over periods of time comparable to the characteristic time periods over which business projections can be averaged. Using factual statistics, one is reduced to Monte Carlo sampling methods which lead to sets of possible chains of events, and corresponding probabilitie

Cumbersome