Sparse martix computation partition and graphing with pymetis

Our main goal is to make the computation of sparse matrix cheap and avoid waste of memory during calculation.

We have the sparse matrix given from the following website [login to view URL]

We need to store it in a CSR format and avoid the non-zero values.

Calculate the number of zeros and non zeros in the matrix

Get an estimate of how long the partition takes, How many non zeros per partition and how many edge cuts between the partitions.

each partition must be in different colors for visualizing

partition must be done using pymetis at the least 4 partition

how many partitions does each partition touch?

how many columns are connected to each partition?

estimate the cost on each partition and no of partition

estimate how good the performance is before and after each partition

calculate the number of edge cuts between each partition

plot the graph of matrix using matplotlib

also plot the graph with partition for visualization with different colors.



Skills: Python

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About the Employer:
( 21 reviews ) Phnom Penh, Cambodia

Project ID: #28510413

2 freelancers are bidding on average $90 for this job


github: [login to view URL] Hi I am a senior ML & AI developer. I have read your requirement very carefully. I have 2+ years of ML & AI development and get a lot of experience. My main sk More

$90 USD in 7 days
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i can help you with that,if entrusted working with me, let me know. %requirement is more than 100 character%

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