Recently, the split inverse problem has received great research attention due to its several applications in diverse fields. In this paper, we study a new class of problems called variational inequality with multiple output sets. We propose Tseng extragradient method, which uses self-adaptive step sizes for approximating solution when cost operators are pseudomonotone and non-Lipschitz framewor...

Based on the A−maximal (m)−relaxed monotonicity frameworks, the approximation solvability of a general class of variational inclusion problems using the relaxed proximal point algorithm is explored, while generalizing most of the investigations, especially of Xu (2002) on strong convergence of modified version of the relaxed proximal point algorithm, Eckstein and Bertsekas (1992) on weak conver...

In this article, we consider multi-modal circular data and nonparametric inference. We introduce a doubly flexible method based on Dirichlet process mixtures in which parameter assumptions are relaxed. assess discuss simulation studies the efficiency of proposed extension relative to standard finite mixture applications analysis data. The real application shows that relaxed approach is promisin...

In this paper a new method is introduced for path planning of an autonomous vehicle. In this method, the environment is considered cluttered and with some uncertainty sources. Thus, the state of detected object should be estimated using an optimal filter. To do so, the state distribution is assumed Gaussian. Thus the state vector is estimated by a Kalman filter at each time step. The estimation...

Recently, several methods have been proposed for optimal delete-free planning. We present an incremental compilation approach that enables these methods to be applied to problems with conditional effects, which none of them support natively. With an h solver for problems with conditional effects in hand, we also consider adapting the h anytime lower bound function to use the more spaceefficient...

We review a number of perturbative calculations describing the interactions of D-branes with massless elementary string states. The form factors for the scattering of closed strings off D-branes are closely related to the Veneziano amplitude. They show that, in interactions with strings, D-branes acquire many of their physical features: the effective size of D-branes is of order the string scal...

Abstract: Dependency parsing is an important subtask of natural language processing. In this paper, we propose an embedding feature transforming method for graph-based parsing, transform-based parsing, which directly utilizes the inner similarity of the features to extract information from all feature strings including the un-indexed strings and alleviate the feature sparse problem. The model t...