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Penn CIT 594 - Trees

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TreesDefinition of a treeMore definitionsData structure for a treeADT for a treeTraversing a treeOther tree manipulationsFile systemsFamily treesPart of a genealogyGame treesBinary trees for expressions(General) trees for expressionsMore trees for statementsWriting compilers and interpretersI’ll never need to write a compiler...The EndTrees2Definition of a treeA tree is like a binary tree, except that a node may have any number of childrenDepending on the needs of the program, the children may or may not be orderedLike a binary tree, a tree has a root, internal nodes, and leavesEach node contains an element and has branches leading to other nodes (its children)Each node (other than the root) has a parentEach node has a depth (distance from the root)ACB D EGF H J KIL M N3More definitionsAn empty tree has no nodesThe descendents of a node are its children and the descendents of its childrenThe ancestors of a node are its parent (if any) and the ancestors of its parentThe subtree rooted at a node consists of the given node and all its descendentsAn ordered tree is one in which the order of the children is important; an unordered tree is one in which the children of a node can be thought of as a setThe branching factor of a node is the number of children it hasThe branching factor of a tree is the average branching factor of its nodes4Data structure for a treeA node in a binary tree can be represented as follows: class BinaryTreeNode { Object value; BinaryTreeNode leftChild, rightChild;}However, each node in a tree has an arbitrary number of children, so we need something that will hold an arbitrary number of nodes, such as an ArrayList class TreeNode { Object value; ArrayList children;}If we don’t care about the order of children, we might use a Set instead of a ArrayList5ADT for a treeIt must be possible to:Construct a new treeIf a tree can be empty, this may require a header nodeAdd a child to a nodeGet (iterate through) the children of a nodeAccess (get and set) the value in a nodeIt should probably be possible to:Remove a child (and the subtree rooted at that child)Get the parent of a node6Traversing a treeYou can traverse a tree in preorder: void preorderPrint(node) { System.out.println(node); Iterator iter = node.children.iterator(); while (iter.hasNext()) { preorderPrint(iter.next()); }}You can traverse a tree in postorder: void postorderPrint(node) { Iterator iter = node.children.iterator(); while (iter.hasNext()) { postorderPrint(iter.next()); } System.out.println(node);}You can’t usually traverse a tree in inorderWhy not?7Other tree manipulationsThere’s really nothing new to talk about; you’ve seen it all with binary treesA tree consists of nodes, each node has references to some other nodes—you know how to do all this stuffThere are some useful algorithms for searching trees, and with some modifications they also apply to searching graphsLet’s move on to some applications of trees8File systemsFile systems are almost always implemented as a tree structureThe nodes in the tree are of (at least) two types: folders (or directories), and plain filesA folder typically has children—subfolders and plain filesA folder also contains a link to its parent—in both Windows and UNIX, this link is denoted by ..In UNIX, the root of the tree is denoted by /A plain file is typically a leaf9Family treesIt turns out that a tree is not a good way to represent a family treeEvery child has two parents, a mother and a fatherParents frequently remarryAn “upside down” binary tree almost worksSince it is a biological fact (so far) that every child has exactly two parents, we can use left child = father and right child = motherThe terminology gets a bit confusingIf you could go back far enough, it becomes a mathematical certainty that the mother and father have some ancestors in common10Part of a genealogyIsaacDavidPaulaStevenDanielleWinfred CarolChester Elaine Eugene Pauline11Game treesTrees are used heavily in implementing games, particularly board gamesA node represents a position on the boardThe children of a node represent all the possible moves from that positionMore precisely, the branches from a node represent the possible moves; the children represent the new positionsPlanning ahead (in a game) means choosing a path through the treeHowever—You can’t have a cycle in a treeIf you can return to a previous position in a game, you have a cycleGraphs can have cycles12Binary trees for expressionsOrdered trees can be used to represent arithmetic expressionsTo evaluate an expression (given as a node):If it is a leaf, the element in it specifies the valueIf the element is a number, that number is the valueIf the element is a variable, look up its value in a tableIf it is not a leaf, the element in it specifies an operationEvaluate the children and combine them according to the operation+2 2The expression 2+2+2*3 4The expression 2+3*4*4+2 3The expression (2+3)*413(General) trees for expressionsYou can use binary trees for expressions if you have only unary and binary operatorsJava has a ternary operatorTrees can be used to represent statements as well as expressionsStatements can be evaluated as easily as expressions The expression x > y ? x : y?:> xxyyThe statement if (x > y) max = x; else max = y;yif>xx ymax max= =14More trees for statements while (n >= 1) { exp = x * exp; n--;} for (int i = 0; i < n; i++) a[i] = 0;while>=n 1expexp*=n--x;foriint=0a[ ]iin 0++=<i15Writing compilers and interpretersA compiler does three things:Parses the input program (converts it into an abstract syntax tree)(Optionally) optimizes the abstract syntax treeTraverses the tree and outputs assembly language or machine code to do the same operationsAn interpreter does three things:Parses the input program (converts it into an abstract syntax tree)(Optionally) optimizes the abstract syntax treeTraverses the tree in an order controlled by the node contents, and performs the operations as it goesParsing is usually the hard part, but there is a very simple technique (called recursive descent parsing) that can be used if the language is carefully designed and you don’t care too much about efficiency or good error messages16I’ll


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Penn CIT 594 - Trees

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