Programming (Dynamic, Linear, Non-linear, etc.)
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Programming (Dynamic, Linear, Non-linear, etc.)
The number of problems in math and science to which computer programming methods can be used to solve is virtually unlimited. For such use, many different types of programming algorithms have been developed, each one being useful for specific types of problems. Here are just a few examples of the many types of algorithms available to researchers:
- Approximation algorithms
- Arbitrary precision algorithms
- Bioinformatics algorithms
- Calendar algorithms
- Checksum algorithms
- Classification algorithms
- Combinatorial algorithms
- Compression algorithms
- Concurrent algorithms
- Cryptographic algorithms
- Data clustering algorithms
- Data mining algorithms
- Database algorithms
- Distributed algorithms
- Error detection and correction algorithms
- Evolutionary algorithms
- External memory algorithms
- Genetic algorithms
- Geometric algorithms
- Computer graphics algorithms
- Heuristic algorithms
- Machine learning algorithms
- Memory management algorithms
- Networking algorithms
- Online algorithms
- Optimization algorithms
- Pattern matching algorithms
- Quantum algorithms
- Root-finding algorithms
- Routing algorithms
- Scheduling algorithms
- Search algorithms
- Selection algorithms
- Sorting algorithms
- Statistical algorithms
- Algorithms on strings
A good place to visit periodically to stay up to date with the world of programming algorithms is the Journal of Algorithms.
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