## Registered User | |
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real name | Kuldeep Sarma |

member since | 2017-08-08 14:02:29 +0200 |

last seen | 2021-04-20 16:20:18 +0200 |

location | India |

age, years | 31 |

todays unused votes | 30 votes left |

10

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- graph× 5
- graph-theory× 5
- inverse× 3
- homework× 2
- MILP_example× 2

● Popular Question
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● Notable Question × 9

● Associate Editor × 1 ● Editor × 1 ● Famous Question × 4

● Nice Question × 1 ● Student × 1

- Graphs on 6 vertices with eigenvalue condition
- Graphs having highest second smallest laplacian eigen value from a collection
- Maximum algebraic connectivity from a given collection of graphs
- How to get a graph from a given symmetric matrix
- finding general term of a sequence
- How to find the permutation matrix associated with the similarity transformation in the following code
- How to find the laplacian matrix of a weighted directed graph
- factorise a polynomial
- extraction of principal submatrices
- How to find the spanning elementary subgraphs of a given graph
- how one can obtain eigenvalue and eigenvectors from a list of matrices at a single step
- How to find the similarity matrix between two similar matrices

● Notable Question × 9

- Graphs on 6 vertices with eigenvalue condition
- extraction of principal submatrices
- How to find the permutation matrix associated with the similarity transformation in the following code
- How to get a graph from a given symmetric matrix
- how one can obtain eigenvalue and eigenvectors from a list of matrices at a single step
- How to find the laplacian matrix of a weighted directed graph
- How to find the spanning elementary subgraphs of a given graph
- How to find the similarity matrix between two similar matrices
- factorise a polynomial

● Associate Editor × 1 ● Editor × 1 ● Famous Question × 4

- How to get a graph from a given symmetric matrix
- Graphs on 6 vertices with eigenvalue condition
- How to find the permutation matrix associated with the similarity transformation in the following code
- How to find the similarity matrix between two similar matrices

● Nice Question × 1 ● Student × 1

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