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GitHub / LeonardoSaccotelli / Numerical-Methods-For-Computer-Science

Basic and advanced linear algebra and numerical problems, numerical algorithms, and techniques with multiple applications in the field of Computer Science.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LeonardoSaccotelli%2FNumerical-Methods-For-Computer-Science

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 17.4 MB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago

Topics: correlation, google-pagerank, gram-schmidt, image-recognition, least-squares-problem, linear-algebra, numerical-methods, orthogonality, pca-analysis, perceptron, power-method-iterated, qr-factorization, spectral-clustering, steepest-descent, svd-factorization, text-retrieval, urv-factorization

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