Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 5 of 5 for “"parallel projection"”.

  1. Characterizing and Improving the Non-Collaborative and Collaborative Localization Problems

    … propose an improvement to the existing modified parallel projection method (MPPM), the reflected parallel projection method (RPPM). We show that the global minimum to the non-collaborative objective function can nearly always be found using the non-optimal reflected parallel projection method …

    vt Repository record for Characterizing and Improving the Non-Collaborative and Collaborative Localization Problems (opens in a new tab)

  2. Components of Optical Information for Depth Induce a Picture-Surface Angle Illusion

    … as parts of 2D forms (1) depicting 3D parallelepipeds with long and short sides, shown by converging lines; (2) depicting cubes in parallel projection, with sides shown by parallel lines; (3) depicting asymmetric square-top pyramids, with wide bases shown by diverging lines; (4) …

    toronto-retro Repository record for Components of Optical Information for Depth Induce a Picture-Surface Angle Illusion (opens in a new tab)

  3. Numerical Methods for Fluid-Solid Coupled Simulations: Robin Interface Conditions and Shock-Dominated Applications

    … in an embedded boundary method for coupling a parallel, projection-based incompressible viscous flow solver with a nonlinear finite element solid solver. Both an analytical study and a numerical study reveal that the new algorithm can clearly outperform conventional Dirichlet-Neumann procedures …

    vt Repository record for Numerical Methods for Fluid-Solid Coupled Simulations: Robin Interface Conditions and Shock-Dominated Applications (opens in a new tab)

  4. Random projection methods for stochastic convex minimization

    … as in online learning concept. The traditional projection algorithms for solving minimization problems require projecting over complete collection of constraints at once or over a subset of them based on a predefined selection rule. But in practical applications either all of the constraints …

    uiuc Repository record for Random projection methods for stochastic convex minimization (opens in a new tab)