CHRISTIAN HUIE SJOBERG. Machine learning models for directed curation of design solution space. (Under the direction of ERIC SAUDA) The expanding role of computational models in the process of design is producing exponentially growing parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces considering not only quantitative optimization metri...

In this paper we discuss the application of the certified reduced basis method and the associated software package rbMIT c © to “worked problems” in steady and unsteady conduction. Each worked problem is characterized by an input parameter vector — material properties, boundary conditions and sources, and geometry — and desired outputs — selected fluxes and temperatures. The methodology and ass...

The class of objects we consider are algebraic relations between the four kinds of classical Jacobi theta functions θj(z|τ), j = 1, . . . , 4, and their derivatives. We present an algorithm to prove such relations automatically where the function argument z is zero, but where the parameter τ in the upper half complex plane is arbitrary.

Log-ratio processor working at 500MHz applied to turn-by-turn beam position measurement was implemented. The processor circuit consists of two logarithmic amplifiers and a subtraction circuit. The output value is proportional to beam position. Before, the upper usable frequency of logarithmic amplify is lower than 500MHz. At present, several manufacturers support higher upper usable frequency o...

We derive a system of three coupled equations that implicitly defines a continuous one-parameter family of expanding wave solutions of the Einstein equations, such that the Friedmann universe associated with the pure radiation phase of the Standard Model of Cosmology is embedded as a single point in this family. By approximating solutions near the center to leading order in the Hubble length, t...

in this study, 3 models of time-varying parameters (tvp), dynamic model selection (dms) and dynamic model averaging (dma) and a comparison with the ordinary least squares (ols) method in matlab in the time period 2003-2013 (with data on a monthly basis) are discussed. in the present study, the variables of unofficial exchange rate changes, interest rate changes and inflation in oil price foreca...