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Bart van Bloemen Waanders – författare

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6 produkter

  1. Youssef Marzouk, Karen Willcox, Bart van Bloemen Waanders, Luis Tenorio, Bani Mallick, David Keyes, Matthias Heinkenschloss, Omar Ghattas, George Biros, Lorenz Biegler - Large-Scale Inverse Problems and Quantification of Uncertainty, E-bok. Tillgänglighet: Lägg i varukorg

    Large-Scale Inverse Problems and Quantification of Uncertainty

    Av Youssef Marzouk, Karen Willcox m. fl.

    E-bok, 2010

    1874 kr

    Lägg i varukorg

    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …

  2. Lorenz Biegler, George Biros, Omar Ghattas, Matthias Heinkenschloss, David Keyes, Bani Mallick, Luis Tenorio, Bart van Bloemen Waanders, Karen Willcox, Youssef Marzouk - Large-Scale Inverse Problems and Quantification of Uncertainty, Inbunden. Tillgänglighet: Lägg i varukorg

    Large-Scale Inverse Problems and Quantification of Uncertainty

    Av Lorenz Biegler, George Biros m. fl.

    Inbunden, 2010

    1624 kr

    Lägg i varukorg

    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …

  3. Youssef Marzouk, Karen Willcox, Bart van Bloemen Waanders, Luis Tenorio, Bani Mallick, David Keyes, Matthias Heinkenschloss, Omar Ghattas, George Biros, Lorenz Biegler - Large-Scale Inverse Problems and Quantification of Uncertainty, E-bok. Tillgänglighet: Lägg i varukorg

    Large-Scale Inverse Problems and Quantification of Uncertainty

    Av Youssef Marzouk, Karen Willcox m. fl.

    E-bok, 2011

    1874 kr

    Lägg i varukorg

    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …

  4. Lorenz T. Biegler, Omar Ghattas, Lorenz T. Biegler, Omar Ghattas, Matthias Heinkenschloss, Bart van Bloemen Waanders - Large-Scale PDE-Constrained Optimization, Häftad. Tillgänglighet: Lägg i varukorg

    Large-Scale PDE-Constrained Optimization

    Av Lorenz T. Biegler, Omar Ghattas m. fl.

    Häftad, 2003

    1752 kr

    Lägg i varukorg

    Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary …

  5. Bart van Bloemen Waanders, Matthias Heinkenschloss, Omar Ghattas, Lorenz T. Biegler - Large-Scale PDE-Constrained Optimization, E-bok. Tillgänglighet: Lägg i varukorg

    Large-Scale PDE-Constrained Optimization

    Av Bart van Bloemen Waanders, Matthias Heinkenschloss m. fl.

    E-bok, 2012

    2274 kr

    Lägg i varukorg

    Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary …

  6. Lorenz Biegler, George Biros, Omar Ghattas, Matthias Heinkenschloss, David Keyes, Bani Mallick, Luis Tenorio, Bart van Bloemen Waanders, Karen Willcox, Youssef Marzouk - Large–Scale Inverse Problems and Quantification of  Uncertainty. Tillgänglighet: Tillfälligt slut

    Large–Scale Inverse Problems and Quantification of Uncertainty

    Av Lorenz Biegler, George Biros m. fl.

    2010

    1285 kr

    Tillfälligt slut

    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …