Categories
Blog

Binary Trees & Recursion

CSC 251 Study Guide 🌳

CSC251 Study Guide 😓

Binary Trees and Recursion Exam 📖

Binary Trees 🌲

  • trees
    • a structure with unique starting point – root – where each node can have multiple children nodes, and a unique path exists from the root node to every other node
  • root
    • top node of a tree structure, a node with no parent
  • binary tree
    • structure where each item is called a node and where each node can have a max of two children, left and right child node
    • diagram:

  • leaf
    • node with no children
  • descendant
    • child of a node
  • ancestor
    • parent of a node
  • binary search tree
    • binary tree where value in any node is greater than or equal to value in its left child and any of descendants (nodes in left subtree) and less than value in its right child and any of its descendants (nodes in right subtree)
    • diagram:
      Diagram 1
  • full binary tree
    • binary tree where all of leaves are on same level and every nonleaf node has 2 children
  • complete binary tree
    • binary tree that is full or full through next-to-last level, with leaves on last level as far as possible

  • balanced tree
    • left and right subtrees of any node are the same height
      Diagram 3
  • preorder
    • node/root, left, right
  • inorder
    • left, node/root, right
  • postorder
    • left, right, node/root

Balanced Tree

FUN TIP I 🌟

a fast way to remember this is through the following, starting by writing r in the far left then fill it out with L or R, representing left or right, as follows:

r L R – preorder L r R – inorder L R r – postorder
FUN TIP II 🌟

in-order traversal is probably easiest to see, because it sorts the values from smallest to largest (literally)

  • How to Delete A Binary Search Tree ␡
    • no successor
      1. if node is leaf, simply removed
      2. but if root is leaf, pointer to tree assigned null value
    • one successor
      1. parent node connected to sucessor node
      2. deleted node disposed of
    • two successors
      1. find logical predecessor (node in left subtree with largest value)
      2. logical predecessor replaces deleted node

Recursion 🚥

  • recursive method is a method that calls itself
    • in many cases, recursive algorithms are less efficient than iterative algorithms
  • recursive solutions repetitively
    • allocate memory for parameters and local variables
    • store address of where control returns after method terminates
  • basically works like this:
    • a base case is established
      • if matched, method solves it and returns
    • if base case cannot be solved
      • method reduces it to smaller problem (recursive case) and calls itself to solve smaller problem
  • examples of recursion in real life
    • quick sort, merge sort, flowers,Towers of Hanoi, Fibonacci sequence, factorials
    • towers of hanoi fun pic:

example 1 provided – emptyVase 🍶\

void emptyVase(int flowersInVase) {
    if (flowersInVase > 0) {
        //takes one flower
        emptyVase(flowersInVase-1);
    } else {
        // vase is empty, nothing to do
    }
}

example 2 provided – Recursion2\

public class Recursion2 {
    public void countItDown(int counter) {
        if (counter == 0)
            return;
        else {
            System.out.println("Count: " + counter);
            counter--;
            countItDown(counter);
            System.out.println("" + counter);
            return;
        }
    }

    public static void main (String[] args) {
        Recursion2 myRecursor = new Recursion2();
        myRecursor.countItDown(5);
    }
}

example 3 provided – count ⓴\

count(n)
    if (n > 0)
        print n
        count (n-1)
    else
        print done

count: n --> n = 3
count: (n-1) --> n = 2
count: (n-1) --> n = 1
count: (n-1) --> n = 0

example 4 – from textbook

public class Recursive {
    public static void message(int n) { //displays message n times
        if (n > 0) {
            System.out.println("This is a recursive method.");
            message(n-1);
        }
    }
}

example 5 – from textbook

public static int fib(int n) { // returns nth number in Fibonacci sequence
    if (n == 0)
        return 0;
    else if (n == 1)
        return 1;
    else
        return fib(n - 1) + fib(n - 2);
}

example 6 – from textbook

public static int factorial(int n) { // returns factorial of non-negative argument
    if (n == 0)
        return 1;
    else
        return n * factorial(n-1);
}

example 7 – from textbook

public static int gcd(int x, int y) { // returns greater common denominator of two arguments
    if (x % y == 0)
        return y;
    else
        return gcd(y, x % y);
}

 

By Frances Coronel

Frances Coronel is a software engineer specializing in UI development on the Customer Acquisition Team at Slack where her mission is to make your working life simpler, more pleasant, and more productive.

She has been working professionally as a developer since 2015 and holds a Bachelors in Computer Science from Hampton University and a Masters in Computer Science from Cornell Tech.

Outside of Slack, Frances is an Executive Director of Techqueria, a 501c3 nonprofit that serves the largest community of Latinx in Tech in the US.

She also supports Code Nation as a member of their Bay Area Leadership Council and the Latino Community Foundation as a member of their Latinos in Tech Giving Circle.