Presentation is loading. Please wait.

Presentation is loading. Please wait.

CPS 100 7.1 Recurrences l Summing Numbers int sum(int n) { if (0 == n) return 0; else return n + sum(n-1); } l What is complexity? justification? l T(n)

Similar presentations


Presentation on theme: "CPS 100 7.1 Recurrences l Summing Numbers int sum(int n) { if (0 == n) return 0; else return n + sum(n-1); } l What is complexity? justification? l T(n)"— Presentation transcript:

1 CPS 100 7.1 Recurrences l Summing Numbers int sum(int n) { if (0 == n) return 0; else return n + sum(n-1); } l What is complexity? justification? l T(n) = time to compute sum for n T(n) = T(n-1) + 1 T(0) = 1 l instead of 1, use O(1) for constant time  independent of n, the measure of problem size

2 CPS 100 7.2 Solving recurrence relations l plug, simplify, reduce, guess, verify? T(n) = T(n-1) + 1 T(0) = 1 T(n) = T(n-k) + k find the pattern! Now, let k=n, then T(n) = T(0)+n = 1+n l get to base case, solve the recurrence: O(n) T(n-1) = T(n-1-1) + 1 T(n) = [T(n-2) + 1] + 1 = T(n-2)+2 T(n-2) = T(n-2-1) + 1 T(n) = [(T(n-3) + 1) + 1] + 1 = T(n-3)+3

3 CPS 100 7.3 Complexity Practice l What is complexity of Build ? (what does it do?) ArrayList build(int n) { if (0 == n) return new ArrayList(); // empty ArrayList list = build(n-1); for(int k=0;k < n; k++){ list.add(new Integer(n)); } return list; } l Write an expression for T(n) and for T(0), solve.

4 CPS 100 7.4 Recognizing Recurrences l Solve once, re-use in new contexts  T must be explicitly identified  n must be some measure of size of input/parameter T(n) is the time for quicksort to run on an n-element vector T(n) = T(n/2) + O(1) binary search O( ) T(n) = T(n-1) + O(1) sequential search O( ) T(n) = 2T(n/2) + O(1) tree traversal O( ) T(n) = 2T(n/2) + O(n) quicksort O( ) T(n) = T(n-1) + O(n) selection sort O( ) l Remember the algorithm, re-derive complexity n log n n log n n n2n2

5 CPS 100 7.5 Stack: What problems does it solve? l Stacks are used to avoid recursion, a stack can replace the implicit/actual stack of functions called recursively l Stacks are used to evaluate arithmetic expressions, to implement compilers, to implement interpreters  The Java Virtual Machine (JVM) is a stack-based machine  Postscript is a stack-based language  Stacks are used to evaluate arithmetic expressions in many languages l Small set of operations: LIFO or last in is first out access  Operations: push, pop, top, create, clear, size  More in postscript, e.g., swap, dup, rotate, …

6 CPS 100 7.6 Simple stack example Stack is part of java.util.Collections hierarchy  It's an OO abomination, extends Vector (like ArrayList) Should be implemented using Vector Doesn't model "is-a" inheritance  what does pop do? What does push do? Stack s = new Stack(); s.push("panda"); s.push("grizzly"); s.push("brown"); System.out.println("size = "+s.size()); System.out.println(s.peek()); Object o = s.pop(); System.out.println(s.peek()); System.out.println(s.pop());

7 CPS 100 7.7 Implementation is very simple l Extends Vector, so simply wraps Vector/ArrayList methods in better names  push==add, pop==remove  Note: code below for ArrayList, Vector is actually used. public Object push(Object o){ add(o); return o; } public Object pop(Object o){ return remove(size()-1); }

8 CPS 100 7.8 Uses rather than "is-a" l Suppose there's a private ArrayList, myStorage  Doesn't extend Vector, simply uses Vector/ArrayList  Disadvantages of this approach? Synchronization issues public Object push(Object o){ myStorage.add(o); return o; } public Object pop(Object o){ return myStorage.remove(size()-1); }

9 CPS 100 7.9 Postfix, prefix, and infix notation l Postfix notation used in some HP calculators  No parentheses needed, precedence rules still respected 3 5 + 4 2 * 7 + 3 - 9 7 + *  Read expression For number/operand: push For operator: pop, pop, operate, push l See Postfix.java for example code, key ideas:  Use StringTokenizer, handy tool for parsing  Note: Exceptions thrown, what are these? l What about prefix and infix notations, advantages?

10 CPS 100 7.10 Exceptions l Exceptions are raised or thrown in exceptional cases  Bad indexes, null pointers, illegal arguments, …  File not found, URL malformed, … l Runtime exceptions aren't meant to be handled or caught  Bad index in array, don't try to handle this in code  Null pointer stops your program, don't code that way! l Other exceptions must be caught or rethrown  See FileNotFoundException and IOException in Scanner class implementation l RuntimeException extends Exception, catch not required

11 CPS 100 7.11 Prefix notation in action l Scheme/LISP and other functional languages tend to use a prefix notation (define (square x) (* x x)) (define (expt b n) (if (= n 0) 1 (* b (expt b (- n 1)))))

12 CPS 100 7.12 Postfix notation in action l Practical example of use of stack abstraction l Put operator after operands in expression  Use stack to evaluate operand: push onto stack operator: pop operands push result l PostScript is a stack language mostly used for printing  drawing an X with two equivalent sets of code %! 200 200 moveto 100 100 rlineto 200 300 moveto 100 –100 rlineto stroke showpage %! 100 –100 200 300 100 100 200 200 moveto rlineto stroke showpage

13 CPS 100 7.13 Queue: another linear ADT l FIFO: first in, first out, used in many applications  Scheduling jobs/processes on a computer  Tenting policy?  Computer simulations l Common operations  Add to back, remove from front, peek at front No standard java.util.Queue, instead java.util.LinkedList addLast(), getFirst(), removeFirst, size() Can use add() rather than addLast(); l Downside of using LinkedList as queue  Can access middle elements, remove last, etc. why?

14 CPS 100 7.14 Stack and Queue implementations l Different implementations of queue (and stack) aren’t really interesting from an algorithmic standpoint  Complexity is the same, performance may change (why?)  Use ArrayList, growable array, Vector, linked list, … Any sequential structure l As we'll see java.util.LinkedList is good basis for all  In Java 5, LinkedList implements the new Queue interface l ArrayList for queue is tricky, ring buffer implementation, add but wrap-around if possible before growing  Tricky to get right (exercise left to reader)

15 CPS 100 7.15 Using linear data structures l We’ve studied arrays, stacks, queues, which to use?  It depends on the application  ArrayList is multipurpose, why not always use it? Make it clear to programmer what’s being done Other reasons? l Other linear ADTs exist  List: add-to-front, add-to-back, insert anywhere, iterate Alternative: create, head, tail, Lisp or Linked-list nodes are concrete implementation  Deque: add-to-front, add-to-back, random access Why is this “better” than an ArrayList? How to implement?

16 CPS 100 7.16 Jaron LanierJaron Lanier (http://www.advanced.org/jaron) Jaron Lanier is a computer scientist, composer, visual artist, and author. He coined the term ‘Virtual Reality’ … he co-developed the first implementations of virtual reality applications in surgical simulation, vehicle interior prototyping, virtual sets for television production, and assorted other areas "What's the difference between a bug and a variation or an imperfection? If you think about it, if you make a small change to a program, it can result in an enormous change in what the program does. If nature worked that way, the universe would crash all the time." Lanier has no academic degrees

17 CPS 100 7.17 Stacks and Queues l How do we make queues in a stack-only land?  Can we do it with one stack?  2 stacks? l What are the operations necessary for a stack and a queue?

18 CPS 100 7.18 Problem l Married couple hosts a party  Invites only other married couples  At least one person of an invited couple is acquainted to at least the host or the hostess  Upon arrival at the party, each person shakes hands with all other guests he/she doesn’t know l Hostess mingles and asks everyone including her husband, “How many hands did you shake?”  To her surprise, all responses are different l How many hands the the host and hostess each shake?

19 CPS 100 7.19 How to solve? l Say there are 2n people at the party l What must have been the range of responses? l Make a ring of handshakers


Download ppt "CPS 100 7.1 Recurrences l Summing Numbers int sum(int n) { if (0 == n) return 0; else return n + sum(n-1); } l What is complexity? justification? l T(n)"

Similar presentations


Ads by Google