Now showing items 238-257 of 779

    • Balancing Neumann-Neumann Methods for Elliptic Optimal Control Problems 

      Heinkenschloss, Matthias; Nguyen, Hoang (2003-12)
      We present Neumann-Neumann domain decomposition (DD) preconditioners for the solution of elliptic linear quadratic optimal control problems. The preconditioner is applied to the optimality system. A Schur complement ...
    • Best Symmetric Low Rank Approximation Via the Symmetry Preserving Singular Value Decomposition 

      Shah, Mili I.; Sorensen, Danny C. (2007-12)
      The symmetry preserving singular value decomposition (SPSVD) produces the best symmetric (low rank) approximation to a set of data. These symmetric approximations are characterized via an invariance under the action of a ...
    • Biased and Unbiased Cross-Validation in Density Estimation 

      Scott, David W.; Terrell, George R. (1987-02)
      Non parametric density estimation requires the specification of smoothing parameters. The demand of statistical objectivity make it highly desirable to base the choice on properties of the data set. In this paper we ...
    • Bilevel Clique Interdiction and Related Problems 

      Becker, Timothy Joseph (2017-05)
      I introduce a formulation of the bilevel clique interdiction problem. Interdiction, a military term, describes the removal of enemy resources. The single level clique interdiction problem describes the attempt of an attacker ...
    • Black Oil Simulation Utilizing a Central Finite Volume Scheme 

      Chinomona, Rujeko (2016-05)
      Black-oil simulation is a valuable tool in predicting the multi-phase multi-component flow of fluids in reservoirs. This research validates the use of a central high resolution finite volume scheme developed by Kurganov ...
    • Block Algorithms with Augmented Rayleigh-Ritz Projections for Large-Scale Eigenpair Computation 

      Wen, Zaiwen; Zhang, Yin (2015-06)
      Most iterative algorithms for eigenpair computation consist of two main steps: a subspace update (SU) step that generates bases for approximate eigenspaces, followed by a Rayleigh-Ritz (RR) projection step that extracts ...
    • Block Stochastic Gradient Iteration for Convex and Noncovex Optimization 

      Xu, Yangyang; Yin, Wotao (2014-08)
      The stochastic gradient (SG) method can minimize an objective function composed of a large number of differentiable functions or solve a stochastic optimization problem, very quickly to a moderate accuracy. The block ...
    • Born Waveform Inversion in Shot Coordinate Domain 

      Huang, Yin (2016-05)
      The goal of this thesis is to integrate Born waveform inversion, variable projection algorithm and model extension concept to get a method that can improve the long scale background model updates reliably and efficiently ...
    • Bounds on Eigenvalue Decay Rates and Sensitivity of Solutions to Lyapunov Equations 

      Sorensen, Danny C.; Zhou, Y. (2002-06)
      Balanced model reduction is a technique for producing a low dimensional approximation to a linear time invariant system. An important feature of balanced reduction is the existence of an error bound that is closely related ...
    • Branch Decompositions and their Applications 

      Hicks, Illya V. (2000-04)
      Many real-life problems can be modeled as optimization or decision problems on graphs. Also, many of those real-life problems are NP-hard. One traditional method to solve these problems is by branch and bound while another ...
    • C++ and Fortran 77 Timing Comparisons 

      Keenan, Philip T. (1993-01)
      Recently there has been considerable debate within the scientific computation community over the suitability of C++ for large scale numerical computation. This note reports on timing studies of Fortran 77 and C++ conducted ...
    • Calculation and Implementation of the Gradient of the DSO Objective Function for the General Acoustic Model 

      Sei, Alain (1993-03)
      We present in this paper the computation of the DSO objective function in the general acoustic case. In this model, the density and the velocity are functions of the space variables. We use a perturbational approach, ...
    • Cardinal Interpolating Multiresolutions 

      Lewis, Robert Michael (1990-11)
    • Case Studies For a First-Order Fobust Nonlinear Programming 

      Hale, Elaine; Zhang, Yin (2006-06)
      In this paper, we conduct three case studies to assess the effectiveness of a recently proposed first-order method for robust nonlinear programming (Ref. 1). Three robust nonlinear programming problems were chosen from the ...
    • Characteristic Shape Sequences for Measures on Images 

      Pingel, Rachael L.; Abramson, Mark A.; Asaki, Thomas J.; Dennis, J.E. Jr. (2006-11)
      Researchers in many fields often need to quantify the similarity between images using metrics that measure qualities of interest in a robust quantitative manner. We present here the concept of image dimension reduction ...
    • Characteristic-Galerkin Methods for Contaminant Transport with Non-Equilibrium Adsorption Kinetics 

      Dawson, C.N.; van Duijn, C.J.; Wheeler, M.F. (1992-08)
      A procedure based on combining the method of characteristics with a Galerkin finite element method is analyzed for approximating reactive transport in groundwater. In particular, we consider equations modeling contaminant ...
    • Client-Server Component Architecture for Scientific Computing 

      Dajani, Hala N. (2003-06)
      In a Distributed Computing Environment software components dispersed on a variety of computer platforms communicate transparently with each other to emulate a single computer platform. One distributed component framework ...
    • Clique Generalizations and Related Problems 

      Wood, Cynthia Ivette (2016-05)
      A large number of real-world problems can be model as optimization problems in graphs. The clique model was introduced to aid the study of network structure for social interaction. Each vertex represented an actor and the ...
    • Coherent Interferometric Imaging, Time Gating and Beamforming 

      Borcea, Liliana; Garnier, Josselin; Papanicolaou, George; Tsogka, Chrysoula (2010-12)
      Coherent interferometric imaging is based on the backpropagation of local space-time cross correlations of array data and was introduced in order to improve images when the medium between the array and the object to be ...
    • Coherent Noise Suppression in Velocity Inversion 

      Gockenbach, Mark S.; Symes, William W. (1999)
      Data components with well-defined moveout other than primary reflections are sometimes called coherent noise. Coherent noise makes velocity analysis ambiguous, since no single velocity function explains incompatible moveouts ...