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Bani Mallick – författare

Visar alla böcker från författaren Bani Mallick. Handla med fri frakt och snabb leverans.

6 produkter

  1. Bin Yu, Bani Mallick, Christopher C. Holmes, Mark H. Hansen, David D. Denison - Nonlinear Estimation and Classification, E-bok. Tillgänglighet: Lägg i varukorg

    Nonlinear Estimation and Classification

    Av Bin Yu, Bani Mallick m. fl.

    E-bok, 2013

    718 kr

    Lägg i varukorg

    Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety …

  2. David D. Denison, Mark H. Hansen, Christopher C. Holmes, Bani Mallick, Bin Yu - Nonlinear Estimation and Classification, Häftad. Tillgänglighet: Lägg i varukorg

    Nonlinear Estimation and Classification

    Av David D. Denison, Mark H. Hansen m. fl.

    Häftad, 2003

    550 kr

    Lägg i varukorg

    Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety …

  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, 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 …

  4. 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

    1618 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 …

  5. 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 …

  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

    1280 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 …