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Penn CIT 591 - Recursion

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RecursionDefinitions IDefinitions IIRecursive functions...er, methodsAnatomy of a recursionInfinite recursionAnother problemWhy recursion?Understanding recursionBase cases and recursive casesInformation hidingStepping through called functionsWe have small headsThe four rulesDo the base cases firstRecur only with a simpler caseExample 1: memberExample 2: doubleIt's OK to modify local variablesIt's bad to modify objectsDon't look downMEMBER againRepriseThe EndJan 13, 2019Recursion2Definitions IA recursive definition is a definition in which the thing being defined occurs as part of its own definitionExample:An atom is a name or a number A list consists of:An open parenthesis, "("Zero or more atoms or lists, andA close parenthesis, ")"3Definitions IIIndirect recursion is when a thing is defined in terms of other things, but those other things are defined in terms of the first thingExample: A list is:An open parenthesis,Zero or more S-expressions, andA close parenthesisAn S-expression is an atom or a list4Recursive functions...er, methodsThe mathematical definition of factorial is:We can define this in Java as:long factorial(long n) { if (n <= 1) return 1; else return n * factorial(n – 1);}This is a recursive function because it calls itselfRecursive functions are completely legal in Java1, if n <= 1n * factorial(n-1) otherwisefactorial(n) is5Anatomy of a recursionlong factorial(long n) { if (n <= 1) return 1; else return n * factorial(n – 1);}Base case: does some work without making a recursive callRecursive case: recurs with a simpler parameterExtra work to convert the result of the recursive call into the result of this call6Infinite recursionThe following is the recursive equivalent of an infinite loop:int toInfinityAndBeyond(int x) { return toInfinityAndBeyond(x);}While this is obviously foolish, infinite recursions can happen by accident in more complex methods7Another problemConsider the following code fragment:int n = 20;...int factorial() { if (n <= 1) return 1; else { n = n – 1; return (n + 1) * factorial(); }}Does this work?Changing a nonlocal variable makes the program much more difficult to understand8Why recursion?For something like the factorial function (which is sort of the “Hello world” of recursion, it’s faster and just as simple to use a loopFor working with inherently recursive data, such as arithmetic expressions, recursion is much simplerExample: To evaluate the expression (2 + 3) * (4 + 5), you must first evaluate the expressions (2 + 3) and (4 + 5)Recall the definition of a list: A list consists of:An open parenthesis, "("Zero or more atoms or lists, andA close parenthesis, ")"Lists are also inherently recursive9Understanding recursionThe usual way to teach recursion is to “trace through” a recursion, seeing what it does at each levelThis may be a good way to understand how recursion works......but it's a terrible way to try to use recursionThere is a better way10Base cases and recursive casesEvery valid recursive definition consists of two parts:One or more base cases, where you compute the answer directly, without recursionOne or more recursive cases, where you do part of the work, and recur with a simpler problem11Information hidingfunction spread (int A[], int size) { int max, min; sort(A, size); min = A[0]; max = A[size - 1]; return max - min;}Can you understand this function without looking at sort?12Stepping through called functionsFunctions should do something simple and understandableWhen you try to understand a function, you should not have to step through the code of the functions that it callsWhen you try to understand a recursive function, you should not have to step through the code of the functions it calls13We have small headsIt's hard enough to understand one level of one function at a timeIt's almost impossible to keep track of many levels of the same function all at onceBut you can understand one level of one function at a time......and that's all you need to understand in order to use recursion well14The four rulesDo the base cases firstRecur only with a simpler caseDon't modify nonlocal variables*Don't look down * Remember, parameters count as local variables15Do the base cases firstEvery recursive function must have some things it can do without recursionThese are the simple, or base, casesTest for these cases, and do them firstThis is just writing ordinary, nonrecursive code16Recur only with a simpler caseIf the problem isn't simple enough to be a base case, break it into two parts:A simpler problem of the same kind (for example, a smaller number, or a shorter list)Extra work not solved by the simpler problemCombine the results of the recursion and the extra work into a complete solution“Simpler” means “more like a base case”17Example 1: memberIs value X a member of list L ? boolean member(X, L) { if (L is the empty list) return false; // this is a base case if (X equals the first element in L) return true; // another base case return member(X, L - first element); // simpler because more like empty list}18Example 2: doubleDouble every element of a list of numbers function double(L) { if (L is the empty list) return the empty list; // base case else { L2 = double (L - first element); // recur D = 2 * first element in L; // extra work return (list made by adding D to L2); // combine }}19It's OK to modify local variablesA function has its own copy of local variablesparameters passed by value (which are effectively local variables)Each level of a recursive function has its own copy of these variables and parametersChanging them at one level does not change them at other levelsOne level can't interfere with another level20It's bad to modify objectsThere is (typically) only one copy of a given objectIf a parameter is passed by reference, there is only one copy of itIf such a variable is changed by a recursive function, it's changed at all levelsThe various levels interfere with one anotherThis can get very confusingDon't let this happen to you!21Don't look downWhen you write or debug a recursive function, think about this level onlyWherever there is a recursive call, assume that it works


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Penn CIT 591 - Recursion

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