For example are Travelling Salesman Problem, Dijkstra Shortest Path Algorithm, Euclid GCD Algorithm, Binary search, Kruskal's Minimum Spanning Tree, Tower of Hanoi algorithmic paradigms? Or perhaps the paradigms are the data structures I would use to design these algorithms?

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– Yannis Oct 11 '12 at 7:02

General approaches to the construction of efficient solutions to problems

Any basic, commonly used approach in designing algorithms could be considered an algorithmic paradigm:

Divide and Conquer

Idea: Divide problem instance into smaller sub-instances of the same problem, solve these recursively, and then put solutions together to a solution of the given instance.

Examples: Mergesort, Quicksort, Strassen’s algorithm, FFT.

Greedy Algorithms

Idea: Find solution by always making the choice that looks optimal at the moment — don’t look ahead, never go back.

Examples: Prim’s algorithm, Kruskal’s algorithm.

Dynamic Programming

Idea: Turn recursion upside down.

Example: Floyd-Warshall algorithm for the all pairs shortest path problem.

The word paradigm does translate to example, but that's not how it's used in a scientific context. Your examples are all examples of algorithms (except the travelling salesman problem, which is a NP-hard problem), none of which is trivial enough to be considered an algorithmic paradigm.

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