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Algorithms
Definition of Algorithm
An algorithm is an ordered set of
unambiguous , executable steps that
defines a (ideally) terminating process.
Algorithm Representation
- Requires well-defined primitives
- A collection of primitives that the computer can follow constitutes a programming language.
Folding a bird from a square piece of
paper
Pseudocode Primitives (continued)
• Repeated execution
while condition do activity
• Procedure (aka Method, Subroutine,
Function)
procedure name list of primitives associated with name
The procedure Greetings in
pseudocode
Running Example
- You are running a marathon (26.2 miles) and would like to know what your finishing time will be if you run a particular pace. Most runners calculate pace in terms of minutes per mile. So for example, let’s say you can run at 7 minutes and 30 seconds per mile. Write a program that calculates the finishing time and outputs the answer in hours, minutes, and seconds.
- Input: Distance : 26. PaceMinutes: 7 PaceSeconds: 30
- Output: 3 hours, 16 minutes, 30 seconds
One possible solution
- Express pace in terms of seconds per mile by multiplying the minutes by 60 and then add the seconds; call this SecsPerMile
- Multiply SecsPerMile * 26.2 to get the total number of seconds to finish. Call this result TotalSeconds.
- There are 60 seconds per minute and 60 minutes per hour, for a total of 60*60 = 3600 seconds per hour. If we divide TotalSeconds by 3600 and throw away the remainder, this is how many hours it takes to finish.
- The remainder of TotalSeconds / 3600 gives us the number of seconds leftover after the hours have been accounted for. If we divide this value by 60, it gives us the number of minutes.
- The remainder of ( the remainder of(TotalSeconds / 3600) / 60) gives us the number of seconds leftover after the hours and minutes are accounted for
- Output the values we calculated!
Getting a Foot in the Door
- Try working the problem backwards
- Solve an easier related problem
- Relax some of the problem constraints
- Solve pieces of the problem first (bottom up methodology)
- Stepwise refinement: Divide the problem into smaller problems (top-down methodology)
Ages of Children Problem
- Person A is charged with the task of determining the ages of B’s three children. - B tells A that the product of the children’s ages is 36. - A replies that another clue is required. - B tells A the sum of the children’s ages. - A replies that another clue is needed. - B tells A that the oldest child plays the piano. - A tells B the ages of the three children.
- How old are the three children?
Solution
Iterative Structures
while ( condition ) do ( loop body )
repeat ( loop body ) until( condition )
Components of repetitive control
Example: Sequential Search of a List
Fred
Alex
Diana
Byron
Carol
Want to see if Byron is in the list
The sequential search algorithm in
pseudocode
procedure Search(List, TargetValue) If (List is empty) Then (Target is not found) Else ( name first entry in List while (no more names on the List) ( if (name = TargetValue) (Stop, Target Found) else name next name in List ) (Target is not found) )
Sorting the list Fred, Alex, Diana, Byron, and Carol alphabetically
Insertion Sort: Moving to the right, insert each name in the proper sorted location to its left Fred Alex Diana Byron Carol
Applying our strategy to search a list for the entry John
Alice Bob Carol David Elaine Fred George Harry Irene John Kelly Larry Mary Nancy Oliver
A first draft of the binary search
technique
The binary search algorithm in
pseudocode
Searching for Bill
Applying the insertion sort in a worst-case situation
Graph of the worst-case analysis of the insertion sort algorithm
Graph of the worst-case analysis of the binary search algorithm
Software Verification
- Proof of correctness
- Assertions
- Preconditions
- Loop invariants
- Testing
Solving the problem with only one cut