We study the Hamiltonian formalism for second order and fourth nonlinear Schr\"{o}dinger equations. In case of equation, we consider cubic logarithmic nonlinearities. Since Lagrangians generating these equations are degenerate, follow Dirac-Bergmann to construct their corresponding Hamiltonians. obtain consistent motion, imposes some set constraints which contribute total along with Lagrange mu...

Covering arrays have been studied for their applications to drug screening and software and hardware testing. In this paper, we model the problem as a constraint program. Our proposed models exploit non-binary (global) constraints, redundant modelling, channelling constraints, and symmetry breaking constraints. Our initial experiments show that with our best integrated model, we are able to eit...

Quark-meson duality for two-point functions of vector and axial-vector QCD currents is investigated in the large-Nc approximation. We find that the joint constraints of duality and chiral symmetry imply degeneracy of excited vector and axial-vector mesons in the large-Nc limit. We compare model-independent constraints with expectations based on the VenezianoLovelace-Shapiro string model. Severa...

We show that the set of all ow elds in a se quence of frames imaging a rigid scene resides in a low dimensional linear subspace Based on this observa tion we develop a method for simultaneous estimation of optical ow across multiple frames which uses these subspace constraints The multi frame subspace con straints are strong constraints and replace commonly used heuristic constraints such as sp...

In this paper, we propose a method for estimating object motion by three-dimensional scene flow using multiple cameras. The scene flow is regularized by applying subspace constraints and then object motion is estimated using RANSAC estimation. Regularizing the scene flow using subspace constraints results in highly accurate scene flow because it eliminates the effect of noise caused by computin...

In this paper we present the theoretical setting for the closed form solutions to the multiview constraints of curves and surfaces observed by the motion of a camera in a scene. We £nd that knowledge of a curve or surface‘s structure can provide matching constraints and thus closed form solutions for the position of a camera in a scene over many images. This is advantageous for the process of S...

This paper presents a method for coordinating the motion of multiple manipulators that share a common workspace. The approach employs independent motion controllers for each manipulator coupled by way of common connguration space constraints | each robot is represented as a constraint in the other conngura-tion spaces. The harmonic function-based controller for each robot guarantees collision-f...

Generally contour matching is diicult, and the problem becomes more diicult when the motion between successive image frames is large. When the image frames are obtained while the camera is in motion, we can use constraints about the scene and the camera. In this paper we propose a contour matching algorithm which guarantees an accurate matching result, even for large motion contours. The key id...

We present a method for computing the 3D motion of articulated models from 2D correspondences. An iterative batch algorithm is proposed which estimates the maximum aposteriori trajectory based on the 2D measurements subject to a number of constraints. These include (i) kinematic constraints based on a 3D kinematic model, (ii) joint angle limits, (iii) dynamic smoothing and (iv) 3D key frames wh...

Various video processing applications, such as tracking, requires low complexity and reliable segmentation of objects. Global motion and background clutter often acts as key constraints to perform reliable segmentation. In this paper, we propose a video segmentation algorithm for tracking application that handles these constraints by operating on high and low frequency wavelet bands simultaneou...