Automatic Optical Design
- 1 December 1963
- journal article
- Published by Optica Publishing Group in Applied Optics
- Vol. 2 (12) , 1209-1226
- https://doi.org/10.1364/ao.2.001209
Abstract
Automatic computing methods are being increasingly applied to optical design, and the development of programs for this purpose forms an interesting chapter in optical history. Mathematically, the problem consists of solving sets of simultaneous nonlinear equations in a space of thirty or more variables limited by prescribed boundaries. Although these boundary conditions do not basically alter the mathematics, they greatly complicate the resulting program, and a specific example reveals how intricate such programs can become. The full impact of automatic methods has not yet been felt, but one result should be to shift the attention of the lens designer from the detailed correction of aberrations to the problem of securing a proper compromise between the system requirements and the conditions for sharp imagery so that better balanced optical instruments may result.Keywords
This publication has 26 references indexed in Scilit:
- Automatic Correction of Third-Order AberrationsJournal of the Optical Society of America, 1955
- Gradient methods of maximizationPacific Journal of Mathematics, 1955
- Use of Electronic Digital Computers in Optical DesignNature, 1955
- Least-Squares Method for Optical Correction*Journal of the Optical Society of America, 1954
- Automatic Computation of Spot Diagrams*Journal of the Optical Society of America, 1954
- Methods of conjugate gradients for solving linear systemsJournal of Research of the National Bureau of Standards, 1952
- Gradient methods in the solution of systems of linear equationsJournal of Research of the National Bureau of Standards, 1952
- Optical Calculations with Automatic Computing Machinery*Journal of the Optical Society of America, 1951
- The method of steepest descent for non-linear minimization problemsQuarterly of Applied Mathematics, 1944
- A method for the solution of certain non-linear problems in least squaresQuarterly of Applied Mathematics, 1944