A normalized batch gradient descent optimizer is proposed to improve the first-order regular perturbation coefficients of Manakov equation, often referred as kernels. The optimization based on linear parameterization offered by and targets enhanced low-complexity models for fiber channel. We demonstrate that optimized model outperforms analytical counterpart where kernels are numerically evalua...

Older compared with younger adults walk different configurations of mechanical joint work and greater muscle activation but it is unclear if age, walking speed, slope would each affect the relationship between net work. We hypothesized that a unit increase in positive not negative requires older adults. Healthy (age: 22.1 yrs, n = 19) 69.8 16) ascended descended 7° ramp at slow (~1.20 m/s) mode...

We put forward a uniform narrative that weaves together several variants of Hrushovski– Kazhdan style integral, and describe how it can facilitate the understanding Denef–Loeser motivic Milnor fiber closely related objects. Our study focuses on so-called “nonarchimedean fiber” was introduced by Hrushovski Loeser, our thesis is richer embodiment underlying philosophy construction. The said first...

Background: The prevalence of reported allergic diseases is higher in North-America than in other countries around the world. Further, certain types of allergies are more common in some geographic regions or amongst different ethnic populations. This phenomenon has not been well studied amongst the Persian population in the Canadian context; therefore, the current study aimed to compare the pre...

In this paper, the application of supervised descent method (SDM) for 2-D microwave thorax imaging is studied. The forward modeling problem solved by finite element-boundary integral (FE-BI) method. According to prior information human thorax, a 3-ellipse training set generated offline. Then, average direction between an initial background model and models calculated. Finally, reconstruction te...

Variable selection via penalized estimation is appealing for dimension reduction. For penalized linear regression, Efron, et al. (2004) introduced the LARS algorithm. Recently, the coordinate descent (CD) algorithm was developed by Friedman, et al. (2007) for penalized linear regression and penalized logistic regression and was shown to gain computational superiority. This paper explores...

For strongly convex objectives that are smooth, the classical theory of gradient descent ensures linear convergence relative to number evaluations. An analogous nonsmooth is challenging. Even when objective smooth at every iterate, corresponding local models unstable, and cutting planes invoked by traditional remedies difficult bound, leading guarantees sublinear cumulative We instead propose a...