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Download Labs for Foundations of Applied Mathematics Volume II: Algorithm Design and Optimization free book as pdf format

Labs for Foundations of Applied Mathematics Volume II: Algorithm Design and Optimization

This lab manual is designed to accompany the textbook Foundations of Applied Mathematics by Humpherys and Jarvis. This link for educational purpose only. Please remove file from your computer after familiarization.

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

Contents:

  • Standard Librar
  • Object-Oriented Programming
  • Data Structures
  • Depth and Breadth-First Searching with Kevin Bacon
  • Kruskal’s Algorithm
  • Nearest Neighbor Search
  • Pseudorandom Number Generators
  • Statistical Distributions
  • Regression
  • Fast Fourier Transform
  • Filtering and Convolution
  • Fourier Transform Extensions
  • Intro to Wavelets
  • Floating Point Numbers
  • Limitations of Floating Point Computation
  • Barycentric Lagrange Interpolation
  • Newton-Cotes Integration
  • Polynomial Interpolation Using Chebyshev Polynomials
  • scipy.optimize
  • CVXOPT
  • Simplex Method
  • Line Search Algorithms
  • Trust-Region Methods
  • Conjugate-Gradient
  • Interior Point I
  • Interior Point II
  • Compressed Sensing
  • Value Function Iteration
  • Policy Function Iteration
  • Multi-Armed Bandit Problems

Book year:

Book pages: 351

Book language: en

File size: 4.48 MB

File type: pdf

Published: 21 May 2022 - 14:00