«ellipsoid algorithm»

۱۲۳۳ نتیجه
  • Eecient Algorithms for Geometric Optimization

    سند علمی۱۹۹۸Pankaj K. Agarwal

    Linear Programming 15 after kd successful rounds, 2k (H) nek=3. This implies that the above algorithm terminates in at most 3d lnn successful rounds. Since each round takes O(dd) time to compute xR and O(dn) time to compute V , the expected running time of the algorithm is O((d2n

  • Improving the Efficiency of Genetic Algorithms for Constrained Optimization

    سند علمی۲۰۰۶Siegfried Vössner, Michael O'Sullivan, Ulrich Kausch

    The efficiency of a Genetic Algorithm for constrained parameter optimization depends heavily on the ratio of feasible to infeasible area in its rectangular search space. We show an algorithm based on existing mathematical programming methods which improves this ratio assuming a s

  • Eecient Algorithms for Geometric Optimization Eecient Algorithms for Geometric Optimization

    سند علمی۱۹۹۸Pankaj K. Agarwal, Micha Sharir

    Linear Programming 15 contain such a constraint), which implies that after kd iterations (H) (B) 2k. Hence, after kd successful rounds, 2k (H) nek=3. This implies that the above algorithm terminates in at most 3d lnn successful rounds. Since each round takes O(dd) time to compute

  • A Fuzzy Classifier with Evolutionary Design of Ellipsoidal Decision Regions

    سند علمی۲۰۰۴International Conference on Computational IntelligenceLeehter Yao, Kuei-Song Weng, Cherng-Dir Huang

    A fuzzy classifier using multiple ellipsoids approximating decision regions for classification is to be designed in this paper. An algorithm called Gustafson-Kessel algorithm (GKA) with an adaptive distance norm based on covariance matrices of prototype data points is adopted to

  • Multivariate Gaussian Simulation Outside Arbitrary Ellipsoids

    سند علمی۲۰۰۶Nick Ellis, Ranjan Maitra

    Methods for simulation from multivariate Gaussian distributions restricted to be from outside an arbitrary ellipsoidal region are often needed in applications. A standard rejection algorithm that draws a sample from a multivariate Gaussian distribution and accepts it if it is out

  • Conditional Minimum Volume Ellipsoid with Applications to Subset Selection for MVE Estimator and Multiclass Discrimination

    سند علمی۲۰۰۶Jun-ya Gotoh, Akiko Takeda

    In this paper, we present a new formulation for constructing an ellipsoid which generalizes the computation of the minimum volume covering ellipsoid, based on the CVaR minimization technique proposed by Rockafellar and Uryasev (2002). The proposed ellipsoid construction is formul

  • Parallel collision detection of ellipsoids with applications in large scale multibody dynamics

    سند علمی۲۰۱۲Mathematics and Computers in SimulationArman Pazouki, Hammad Mazhar, Dan Negrut

    This contribution describes a parallel approach for determining the collision state of a large collection of ellipsoids. Collision detection is required in granular dynamics simulation where it can combine with a differential variational inequality solver or discrete element meth

  • On Khachiyan's algorithm for the computation of minimum-volume enclosing ellipsoids

    سند علمی۲۰۰۷Discrete Applied MathematicsMichael J. Todd, E. Alper Yildirim

    Given A := {a1, . . . , am} ⊂ Rd whose affine hull is Rd, we study the problems of computing an approximate rounding of the convex hull of A and an approximation to the minimum volume enclosing ellipsoid of A. In the case of centrally symmetric sets, we first establish that Khach

  • Ellipsoids for Anomaly Detection in Remote Sensing Imagery

    سند علمی۲۰۱۵Guen Grosklos

    For many target and anomaly detection algorithms, a key step is the estimation of a centroid (relatively easy) and a covariance matrix (somewhat harder) that characterize the background clutter. For a background that can be modeled as a multivariate Gaussian, the centroid and cov

  • CSC 2411 - Linear Programming and Combinatorial Optimization ∗ Lecture 6 : The Ellipsoid Method

    سند علمی۲۰۰۷Svetlana Stolpner

    This lecture introduces the Ellipsoid Method, the first polynomialtime algorithm to solve LP. We start by discussing the historical significance of its discovery by L. Khachiyan. Next, we argue that the ability to decide the feasibility of a version of the constraints of an LP is