19,265 research outputs found

    An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization

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    We consider the problem of minimizing the sum of two convex functions: one is smooth and given by a gradient oracle, and the other is separable over blocks of coordinates and has a simple known structure over each block. We develop an accelerated randomized proximal coordinate gradient (APCG) method for minimizing such convex composite functions. For strongly convex functions, our method achieves faster linear convergence rates than existing randomized proximal coordinate gradient methods. Without strong convexity, our method enjoys accelerated sublinear convergence rates. We show how to apply the APCG method to solve the regularized empirical risk minimization (ERM) problem, and devise efficient implementations that avoid full-dimensional vector operations. For ill-conditioned ERM problems, our method obtains improved convergence rates than the state-of-the-art stochastic dual coordinate ascent (SDCA) method

    Large Magnetoresistance over an Extended Temperature Regime in Monophosphides of Tantalum and Niobium

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    We report extremely large magnetoresistance (MR) in an extended temperature regime from 1.5 K to 300 K in non-magnetic binary compounds TaP and NbP. TaP exhibits linear MR around 1.8×1041.8\times 10^4 at 2 K in a magnetic field of 9 Tesla, which further follows its linearity up to 1.4×1051.4\times 10^5 in a magnetic field of 56 Tesla at 1.5 K. At room temperature the MR for TaP and NbP follows a power law of the exponent about 1.51.5 with the values larger than 300%300\% in a magnetic field of 9 Tesla. Such large MR in a wide temperature regime is not likely only due to a resonance of the electron-hole balance, but indicates a complicated mechanism underneath.Comment: 13 pages, 4 figures; submitted in May 20, 2015; accepted for publicatio

    Design and Analysis of Two FTRNN Models with Application to Time-Varying Sylvester Equation

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