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COMP 116: Introduction to Scientific Programming

COMP 116: Introduction to Scientific Programming . Lecture 28 : Midterm #2 Review. Announcements. Midterm in SN014. Topics. Conditional Logic Writing Simple Functions Variables, workspaces, scope Loops Strings. Conditional Logic. Conditional Programming

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COMP 116: Introduction to Scientific Programming

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  1. COMP 116: Introduction to Scientific Programming Lecture 28: Midterm #2 Review

  2. Announcements • Midterm in SN014

  3. Topics • Conditional Logic • Writing Simple Functions • Variables, workspaces, scope • Loops • Strings

  4. Conditional Logic • Conditional Programming • When you want to run some code only if some test (“condition”) is satisfied • Making choices between 2 or more options • if-else-end

  5. Relational OperatorsTests relationship between two objects or arrays • What is the data type of the result of these operators?

  6. Relational OperatorsTests relationship between two objects or arrays • Result is always a logical data type (or an array of logical data types)

  7. Logical OperatorsBoolean operators

  8. Logical OperatorsBoolean operators • Operates on logical data types, also returns a logical result.

  9. Other Logical Objects • Logical Constants: true, false • Logical Functions: and(), or(), xor(), not() • Predicate Logic: any(), all() • Conversion Function: logical() • Test functions (is*functions) • Examples: isvarname(), iskeyword() • String Comparison functions: • strcmp(), strcmpi(), strncmp(), strncmpi()

  10. Two options for logical indexing • Use a logical vector • x = rand(1, 100); • x(x > 0.5); % returns only those elements in x which satisfy test • Use the find() function • y = find( x > 0. 5 ); • x( y ) % returns elements in x whose indices are in y

  11. Conditional ExecutionMultiple chained tests if <Test1> commands1; % T1 true elseif <Test2> commands2; % T1 false T2 true elseif <Test3> commands3; % T1,T2 false T3 true else commands4; % all false end

  12. Text Output • disp(msg)- displays an array or text string • disp(‘Derp'); • error(msg) - displays an error message and aborts current function or script • error('Value Out of Range');

  13. Writing simple functions function [o1, o2] = funcName( i1, i2 ) % function comments … % body (implementation) end • Can have multiple inputs and multiple outputs • function [] = funcName() • function o1 = funcName() • function o1 = funcName( i1 ) • function o1 = funcName( i1, i2 ) • function [o1, o2] = funcName( i1, i2, i3)

  14. Scope • Functions run in their own ‘workspaces’ MATLAB sq.m foo =4 bar =16 x2 =5 x =4 x2 =16

  15. Scripts vs. Functions

  16. Loops: for loop statementthe counted loop solution for <varindex> = <start>:<stop> <Body: do some work> end for <idx> = <start>:<step>:<stop> <Body: do some work> end

  17. Loops: while loop statementthe conditional loop solution while <test> <Body: do some work> <Update:make progress towards exiting loop> end • While loops are great if we don’t know how many times we need to loop, but if we can write a test for when we’re done • For this to work properly, the test needs to evaluate to a logical value • The while loop will run as long as test evaluates to true • The while loop does not have a built-in counter like the for-loop (if you want to count something, you need to implement the counter yourself)

  18. Loops: Common pitfalls • While-loops: • Counters not initialized • While-loop never terminates or gets never executed • Counter does not count all the way to the desired value: e.g., x<5 instead of x<=5

  19. Common Idioms: Minimum value within a vector

  20. Common Idioms: Check if value is contained within vector Practice: Rewrite this using a while loop

  21. Common Idioms: Check if value is contained within vector Note the two conditions, understand why this works

  22. Common Idioms: Looping over a matrix • Use a nested for loop: • function ret = findMaxElement( A ) • sz = size(A); • ret = A(1,1); • for i=1:sz(1) • for j=1:sz(2) • if ( A(i,j)>ret ) • ret = A(i,j); • end • end • end

  23. Strings as a vector of chars • Can be manipulated like any other vector s1 = 'The quick brown fox ' s2 = 'jumped over the lazy dog' s = [s1 s2] % concatenate strings s(5) % ans = q s(17:19) % ans = fox jIdx = find( s == 'j' ) jStr = s(jIdx:jIdx+3) % ans = jump

  24. String Comparison • Avoid normal comparison operators! • s1 == s2, s1 < s3, s1 >= s3 • Operators work element by element (on characters) • Thus, strings (i.e., the vector of chars) must be same length • Use string comparison functions instead • strcmp(), string comparison • strcmpi, string comparison while ignoring case • strncmp, strncmpi: • Similar, but compares first n characters only

  25. String Searching • strfind • Search for a string inside another string • returns indices to start of each instance strVal = [‘with great power comes great responsibility.’]; strfind( strVal, ‘great’) % ans = [6 24]

  26. String Replacement • strrep strVal = [‘with great power comes great responsibility.’]; strrep( strVal, ‘great’, ‘no’)

  27. Summary • Practice, practice, practice • Work through the examples done in class

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