Many methods exist for the optimization of lens systems. A great number of these are based on the successful damped least squares (DLS) algorithms. The success of the DLS optimization algorithm applied to optical design has tended to conceal fundamental limitations in the method. The DLS optimization method relies upon the selection of weights for each of, typically fifty aberrations and an optimum choice of these aberration weights is essential in order to achieve both the best possible performance and to guide the design process during convergence. Selection of suitable damping factors is also important for successful convergence towards an optimum solution and is considered here as a dynamic weight adjustment routine based on feedback techniques, to both increase the rate of convergence and improve the quality of the final lens design.
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