Lecture7 - Computational Optimization ISE 407 Lecture 7 Dr...

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Computational Optimization ISE 407 Lecture 7 Dr. Ted Ralphs
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ISE 407 Lecture 7 1 Readings for Today’s Lecture Miller and Boxer, Chapters 2 and 3. Aho, Hopcroft, and Ullman, Sections 2.5–2.9. R. Sedgewick, Algorithms in C++ (Third Edition), 1998.
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ISE 407 Lecture 7 2 Recursion A recursive function is one that calls itself. There are two basic types of recursive functions. A linear recursion calls itself once. A branching recursion calls itself two or more times. Examples of linear recursion Euclid’s algorithm Binary search
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ISE 407 Lecture 7 3 Properties of Recursive Algorithms Generally speaking, recursive algorithms should have the following two properties to be guarantee well-defined termination. They should solve an explicit base case . Each recursive call should be made with a smaller input size . All recursive algorithms have an associated tree that can be used to diagram the function calls. Execution of the program essentially requires traversal of the tree. By adding up the number of steps at each node of the tree, we can compute the running time. We will revisit trees later in the course.
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ISE 407 Lecture 7 4 Divide, Conquer, and Combine Many recursive algorithms arise from employment of a divide-and-conquer approach. This means breaking a larger problem into pieces that can be solved independently. The solutions to the various pieces may then have to recombined in some way. More accurately, these are divide, conquer, and combine algorithms.
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