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Labs for Foundations of Applied Mathematics Volume I: Mathematical Analysis

Labs for Foundations of Applied Mathematics Volume I: Mathematical Analysis

Labs for Foundations of Applied Mathematics Volume I: Mathematical Analysis

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Book Details:

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Year:2016
Publisher:Autoedición
Pages:272 pages
Language:english
Since:07/07/2016
Size:7.88 MB
License:CC-BY

Content:

This lab manual is designed to accompany the textbook Foundations of Applied Mathematics by Humpherys and Jarvis.

Contents:

  • Python Essentials
  • Invertible Affine Transformations and Linear Systems
  • Profiling
  • Cython
  • QR decomposition
  • Givens rotations and Least squares
  • Image Segmentation
  • Eigenvalue Solvers And Markov Chains
  • SVD
  • Correlation and Covariance
  • Facial Recognition using Eigenfaces
  • Numerical Derivatives
  • Newton’s Method
  • Gaussian Quadrature
  • Monte-Carlo Integration
  • Interfacing With Other Programming Languages Using Cython
  • Single Pixel Camera
  • Complex Numbers
  • Integration in the Complex Plane
  • PageRank Algorithm
  • Finding Eigenvalues Using Iterative Methods
  • GMRES
  • RSA

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The book in numbers

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