Annotated Algorithms in Python
The algorithms you will learn can be applied to different disciplines. Throughout history, it is not uncommon that an algorithm invented by a physicist would find application in, for example, biology or finance.
Table of contents
- Introduction
- Main Ideas
- About Python
- Book Structure
- Book Software
- Overview of the Python Language
- About Python
- Types of variables
- Python control flow statements
- Classes
- File input/output
- How to import modules
- Theory of Algorithms
- Order of growth of algorithms
- Recurrence relations
- Types of algorithms
- Timing algorithms
- Data structures
- Tree algorithms
- Graph algorithms
- Greedy algorithms
- Artificial intelligence and machine learning
- Long and infinite loops
- Numerical Algorithms
- Well-posed and stable problems
- Approximations and error analysis
- Standard strategies
- Linear algebra
- Sparse matrix inversion
- Solvers for nonlinear equations
- Optimization in one dimension
- Functions of many variables
- Nonlinear fitting
- Integration
- Fourier transforms
- Differential equations
- Probability and Statistics
- Probability
- Combinatorics and discrete random variables
- Random Numbers and Distributions
- Randomness, determinism, chaos and order
- Real randomness
- Entropy generators
- Pseudo-randomness
- Parallel generators and independent sequences
- Generating random numbers from a given distribution
- Probability distributions for continuous random variables
- Resampling
- Binning
- Monte Carlo Simulations
- Introduction
- Error analysis and the bootstrap method
- A general purpose Monte Carlo engine
- Monte Carlo integration
- Stochastic, Markov, Wiener, and processes
- Option pricing
- Markov chain Monte Carlo (MCMC) and Metropolis
- Simulated annealing
- Parallel Algorithms
- Parallel architectures
- Parallel metrics
- Message passing
- mpi4py
- Master-Worker and Map-Reduce
- pyOpenCL
- Math Review and Notation
| Pages : | 388 |
| Size : | 4.6 MB |
| File type : | |
| Downloads: | 124 |
| Created: | 2022-02-01 |
| License: | CC BY-NC-ND |
| Author(s): | by Massimo Di Pierro |
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