Modules / Lectures
Module NameDownload

Sl.No Chapter Name English
1An OverviewDownload
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2Data Mining, Data assimilation and predictionDownload
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3A classification of forecast errorsDownload
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4Finite Dimensional Vector SpaceDownload
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5MatricesDownload
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6Matrices ContinuedDownload
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7Multi-variate CalculusDownload
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8Optimization in Finite Dimensional Vector spacesDownload
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9Deterministic, Static, linear Inverse (well-posed) ProblemsDownload
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10Deterministic, Static, Linear Inverse (Ill-posed) ProblemsDownload
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11A Geometric View ProjectionsDownload
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12Deterministic, Static, nonlinear Inverse ProblemsDownload
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13On-line Least SquaresDownload
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14Examples of static inverse problemsDownload
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15Interlude and a Way ForwardDownload
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16Matrix Decomposition AlgorithmsDownload
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17Matrix Decomposition Algorithms ContinuedDownload
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18Minimization algorithmsDownload
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19Minimization algorithms ContinuedDownload
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20Inverse problems in deterministicDownload
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21Inverse problems in deterministic ContinuedDownload
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22Forward sensitivity methodDownload
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23Relation between FSM and 4DVARDownload
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24Statistical EstimationDownload
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25Statistical Least SquaresDownload
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26Maximum Likelihood MethodDownload
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27Bayesian EstimationDownload
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28From Gauss to Kalman-Linear Minimum Variance EstimationDownload
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29Initialization Classical MethodDownload
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30Optimal interpolationsDownload
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31A Bayesian Formation-3D-VAR methodsDownload
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32Linear Stochastic Dynamics - Kalman FilterDownload
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33Linear Stochastic Dynamics - Kalman Filter ContinuedDownload
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34Linear Stochastic Dynamics - Kalman Filter Continued.Download
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35Covariance Square Root FilterDownload
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36Nonlinear FilteringDownload
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37Ensemble Reduced Rank FilterDownload
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38Basic nudging methodsDownload
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39Deterministic predictabilityDownload
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40Predictability A stochastic view and SummaryDownload
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Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available