The smoothing procedure has been introduced by Schh onauer as an acceleration algorithm for the Generalized Conjugate Gradient methods. In this paper, after giving our deenition of Conjugate Gradient type methods, and using a Generalized Hessenberg process, we introduce a Hybrid generalized Conjugate Gradient type method. We show that this Hybrid procedure is a variable smoothing procedure. And...

Consider a nonseparable model Y = R(X;U) where Y and X are observed, while U is unobserved and conditionally independent of X. This paper provides the …rst nonparametric test of whether R takes the form of a transformation model, meaning that Y is monotonic in the sum of a function of X plus a function of U . Transformation models of this form are commonly assumed in economics, including, e.g.,...

Variable-angle tow (VAT) manufacturing methods significantly increase the design space for elastic tailoring of composite structures by smoothly changing fiber angle and ply thickness across a component. Rapid shearing (RTS) is VAT technique that uses in-plane (rather than bending) to steer tows dry or pre-impregnated fibers. RTS offers number benefits over conventional bending-driven steering ...

Finite State Machine is a popular modeling notation for various systems, especially software and electronic. Test paths (TPs) can be automatically generated from the system model to test such systems using suitable algorithm. This paper presents strategy that generates TPs allows start end only in defined states of finite state machine. The also simultaneously supports generating length given r...

In this paper based on a system of Riccati equations with variable coefficients, we presented a new Riccati equation with variable coefficients expansion method and its algorithm, which are direct and more powerful than the tanh-function method, sine-cosine method, the generalized hyperbolic-function method and the generalized Riccat equation with constant coefficient expansion method to constr...

Optimality conditions are derived for problems of minimizing a generalized measure of deviation of a random variable, with special attention to situations where the random variable could be the rate of return from a portfolio of financial instruments. Generalized measures of deviation go beyond standard deviation in satisfying axioms that do not demand symmetry between ups and downs. The optima...

When it is not possible to obtain the analytical null distribution of a test statistic U , Monte Carlo hypothesis tests can be used to perform the test. Monte Carlo tests are commonly used in a wide variety of applications, including spatial statistics, and biostatistics. Conventional Monte Carlo tests require the simulation of m independent copies from U under the null hypothesis, what is comp...