Back To The Course Mod-01 Lec-01 An Overview Free Video Tutorials and Notes Lectures Mod-01 Lec-02 Data Mining, Data assimilation and prediction Free Video Tutorials and Notes Lectures Mod-01 Lec-03 A classification of forecast errors Free Video Tutorials and Notes Lectures Mod-02 Lec-04 Finite Dimensional Vector Space Free Video Tutorials and Notes Lectures Mod-02 Lec-05 Matrices Free Video Tutorials and Notes Lectures Mod-02 Lec-06 Matrices Continued Free Video Tutorials and Notes Lectures Mod-02 Lec-07 Multi-variate Calculus Free Video Tutorials and Notes Lectures Mod-03 Lec-11 A Geometric View - Projections Free Video Tutorials and Notes Lectures Mod-03 Lec-13 On-line Least Squares Free Video Tutorials and Notes Lectures Mod-03 Lec-14 Examples of static inverse problems Free Video Tutorials and Notes Lectures Mod-02 Lec-08 Optimization in Finite Dimensional Vector spaces Free Video Tutorials and Notes Lectures Mod-03 Lec-09 Deterministic, Static, linear Inverse (well-posed) Problems Free Video Tutorials and Notes Lectures Mod-03 Lec-10 Deterministic, Static, Linear Inverse (Ill-posed) Problems Free Video Tutorials and Notes Lectures Mod-03 Lec-12 Deterministic, Static, nonlinear Inverse Problems Free Video Tutorials and Notes Lectures Mod-04 Lec-15 Interlude and a Way Forward Free Video Tutorials and Notes Lectures Mod-04 Lec-16 Matrix Decomposition Algorithms Free Video Tutorials and Notes Lectures Mod-04 Lec-17 Matrix Decomposition Algorithms Continued Free Video Tutorials and Notes Lectures Mod-04 Lec-18 Minimization algorithms Free Video Tutorials and Notes Lectures Mod-04 Lec-19 Minimization algorithms Continued Free Video Tutorials and Notes Lectures Mod-05 Lec-20 Inverse problems in deterministic Free Video Tutorials and Notes Lectures Mod-05 Lec-21 Inverse problems in deterministic Continued Free Video Tutorials and Notes Lectures Mod-05 Lec-22 Forward sensitivity method Free Video Tutorials and Notes Lectures Mod-05 Lec-23 Relation between FSM and 4DVAR Free Video Tutorials and Notes Lectures Mod-06 Lec-24 Statistical Estimation Free Video Tutorials and Notes Lectures Mod-06 Lec-25 Statistical Least Squares Free Video Tutorials and Notes Lectures Mathematics - Dynamic Data Assimilation Free Video Tutorials and Notes LecturesMod-04 Lec-19 Minimization algorithms Continued Free Video Tutorials and Notes LecturesDynamic Data Assimilation by Prof. S. Lakshmivarahan IIT Madras(USA)- Mathematics