نتایج جستجو برای: quadratic mapping
تعداد نتایج: 245071 فیلتر نتایج به سال:
Linear Quadratic Gaussian (LQG) control has a known analytical solution [1] but non-linear problems do not [2]. The state of the art method used to find approximate solutions to non-linear control problems (iterative LQG) [3] carries a large computational cost associated with iterative calculations [4]. We propose a novel approach for solving nonlinear Optimal Control (OC) problems which combin...
We study the involution of the real line induced by the outer automorphism of the extended modular group PGL(2,Z). This ‘modular’ involution is discontinuous at rationals but satisfies a surprising collection of functional equations. It preserves the set of real quadratic irrationals mapping them in a non-obvious way to each other. It commutes with the Galois action on real quadratic irrational...
We study the concept of quadratic variation a continuous path along sequence partitions and its dependence with respect to choice partition sequence. introduce roughness show that for Hölder-continuous paths satisfying this condition, balanced is invariant Typical Brownian motion are shown satisfy property almost-surely any required step size condition. Using these results we derive formulation...
FootSLAM or simultaneous localization and mapping (SLAM) for pedestrians is a technique that addresses the indoor positioning and mapping problem based on human odometry (aka pedestrian dead reckoning), e.g. with a foot-mounted inertial sensor. FootSLAM follows the FastSLAM factorization, using a Rao-Blackwellized particle filter to simultaneously estimate the building layout and the pedestrian...
Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide range of application problems. But research on the Quadratic Assignment Problem (QAP) has not much been investigated. In this paper, we introduce a novel approach based on PSO for QAPs. The representations of the position and velocity of the particles in the conventional PSO is extended from the real vector...
A commercial software package, NeuroShell 2 , was used to apply a standard backpropagation neural network for forecasting the behavior of various types of time series, x = x(t). The series used covered a wide range of complexity: linear, quadratic, sinusoidal, damped sinusoidal, and finally a "real-world" application using sample stock data provided with the software. Depending on the case, the...
in this paper, we study the problem of minimizing the ratio of two quadratic functions subject to a quadratic constraint. first we introduce a parametric equivalent of the problem. then a bisection and a generalized newton-based method algorithms are presented to solve it. in order to solve the quadratically constrained quadratic minimization problem within both algorithms, a semidefinite optim...
The goal of this paper is to study approaches to bridge the gap between first-order and second-order type methods for composite convex programs. Our key observations are: i) Many well-known operator splitting methods, such as forward-backward splitting (FBS) and Douglas-Rachford splitting (DRS), actually define a possibly semi-smooth and monotone fixed-point mapping; ii) The optimal solutions o...
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