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Lec 09 | Applied Optimization |    Eigenvalue Decomposition (EVD)    | IIT Kanpur

Lec 09 | Applied Optimization | Eigenvalue Decomposition (EVD) | IIT Kanpur

Subject: Grand Launch!

Lec 02 | Applied Optimization | Eigenvectors and Eigenvalues | IIT Kanpur

Lec 02 | Applied Optimization | Eigenvectors and Eigenvalues | IIT Kanpur

Subject: Grand Launch!

Lec 20 | Applied Optimization | Example problems - I | IIT Kanpur

Lec 20 | Applied Optimization | Example problems - I | IIT Kanpur

Subject: Grand Launch!

Lec 08 | Applied Optimization | Null Space, Trace of a Matrix    | IIT Kanpur

Lec 08 | Applied Optimization | Null Space, Trace of a Matrix | IIT Kanpur

Subject: Grand Launch!

Lec 01 | Applied Optimization | Properties of Vectors and Matrices | IIT Kanpur

Lec 01 | Applied Optimization | Properties of Vectors and Matrices | IIT Kanpur

Subject: Grand Launch!

Lec 05 | Applied Optimization |  Inner Product Space and its Properties -II | IIT Kanpur

Lec 05 | Applied Optimization | Inner Product Space and its Properties -II | IIT Kanpur

Subject: Grand Launch!

Lec 22 | Applied Optimization | Example problems - III | IIT Kanpur

Lec 22 | Applied Optimization | Example problems - III | IIT Kanpur

Subject: Grand Launch!

Lec 26 | Applied Optimization | MIMO Receiver Design (LS problem)  | IIT Kanpur

Lec 26 | Applied Optimization | MIMO Receiver Design (LS problem) | IIT Kanpur

Subject: Grand Launch!

Eigendecomposition : Data Science Basics

Eigendecomposition : Data Science Basics

What is an eigendecomposition and why is it useful for data science?

Lec 06 | Applied Optimization |   Properties of Norm, Echelon form of a Matrix  | IIT Kanpur

Lec 06 | Applied Optimization | Properties of Norm, Echelon form of a Matrix | IIT Kanpur

Subject: Grand Launch!

Lecture 19 : Method of Eigenvalue

Lecture 19 : Method of Eigenvalue

See, lambda 1, lambda

Symmetric Eigenvalue Decomposition, Lecture # 22

Symmetric Eigenvalue Decomposition, Lecture # 22

So in that case generally the