The Aberrated Scalar and Vector Point-spread Function

There is a deep and useful connection between statistical mechanics (the behavior of systems with many degrees of freedom in thermal equilibrium at a finite temperature) and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters). A detailed analogy with annealing in solids provides a framework for optimization of the properties of very large and complex systems. This connection to statistical mechanics exposes new information and provides an unfamiliar perspective on traditional optimization problems and methods.

https://science.sciencemag.org/content/sci/220/4598/671.full.pdf

Optimization by Simulated Annealing

An Algorithm for Least-Squares Estimation of Nonlinear Parameters

Maxwell's equations are replaced by a set of finite difference equations. It is shown that if one chooses the field points appropriately, the set of finite difference equations is applicable for a boundary condition involving perfectly conducting surfaces. An example is given of the scattering of an electromagnetic pulse by a perfectly conducting cylinder.

/pdf/numerical-solution-of-initial-boundary-value-problems-1kka1ovapd.pdf

Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media

The standard method for solving least squares problems which lead to non-linear normal equations depends upon a reduction of the residuals to linear form by first order Taylor approximations taken about an initial or trial solution for the parameters.2 If the usual least squares procedure, performed with these linear approximations, yields new values for the parameters which are not sufficiently close to the initial values, the neglect of second and higher order terms may invalidate the process, and may actually give rise to a larger value of the sum of the squares of the residuals than that corresponding to the initial solution. This failure of the standard method to improve the initial solution has received some notice in statistical applications of least squares3 and has been encountered rather frequently in connection with certain engineering applications involving the approximate representation of one function by another. The purpose of this article is to show how the problem may be solved by an extension of the standard method which insures improvement of the initial solution.4 The process can also be used for solving non-linear simultaneous equations, in which case it may be considered an extension of Newton's method. Let the function to be approximated be h{x, y, z, • • • ), and let the approximating function be H{oc, y, z, • • ■ ; a, j3, y, ■ • ■ ), where a, /3, 7, • ■ ■ are the unknown parameters. Then the residuals at the points, yit zit • • • ), i = 1, 2, ■ • • , n, are

/pdf/a-method-for-the-solution-of-certain-non-linear-problems-in-4jzfz2kssg.pdf

A method for the solution of certain non – linear problems in least squares

Optical lenses have for centuries been one of scientists’ prime tools. Their operation is well understood on the basis of classical optics: curved surfaces focus light by virtue of the refractive index contrast. Equally their limitations are dictated by wave optics: no lens can focus light onto an area smaller than a square wavelength. What is there new to say other than to polish the lens more perfectly and to invent slightly better dielectrics? In this Letter I want to challenge the traditional limitation on lens performance and propose a class of “superlenses,” and to suggest a practical scheme for implementing such a lens. Let us look more closely at the reasons for limitation in performance. Consider an infinitesimal dipole of frequency v in front of a lens. The electric component of the field will be given by some 2D Fourier expansion,

/pdf/negative-refraction-makes-a-perfect-lens-2yepsrmjen.pdf

The Aberrated Scalar and Vector Point-spread Function

References

Optimization by Simulated Annealing

An Algorithm for Least-Squares Estimation of Nonlinear Parameters

Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media

A method for the solution of certain non – linear problems in least squares

Negative Refraction Makes a Perfect Lens

Related Papers (5)

Scalar and Vector Fields

6 – scalar and vector fields

Decomposition of vector fields by scalar potentials

Shape as a Function of the Vector-Field

Complex Vector and Scalar Functions' Representation of Classical and Quantized Electromagnetic Fields