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The slides attached here describes how Breadth first search and Depth First Search technique is used in Traversing a graph/tree with Algorithm and simple code snippet.
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RBFS-Recursive Best First Search
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Lisp in Small Parts Introduction Debugging in LispWorks Getting Started Lists Expressions Defining Procedures Variables Manipulating Lists Strings Printing Testing a Result Creating Dialogue Boxes Writing Programs Processing Items in a List Repeating Operations More about Recursion Generalising Procedures Projects Animals Anagrams Recipes Map Turtle Graphics Logic Mazes Number Countdown Answers to Exercises Index of Procedures Suggested sites Answers to Exercises Not all the exercises have answers yet. Lists 1. (list 1 (list 2 (list 3 4))) Expressions Defining Procedures 1. Square a number (defun square (number) (* number number)) 2. Find the nth triangular number (defun triangular (n) (/ (* n (+ n 1)) 2)) 3. Find the result of throwing two dice (defun two-dice () (+ (+ 1 (random 6)) (+ 1 (random 6)))) Variables 1. Convert between km and miles (defparameter kilometresinmiles 0.621371192) (defun convert-km (km) (* km kilometresinmiles)) (defun convert-miles (miles) (/ miles kilometresinmiles)) 2. Find the average of three numbers (defun average3 (number1 number2 number3) (/ (+ number1 number2 number3) 3)) 3. Cube the sum of two numbers (defun cubesum (a b) (let* ((total (+ a b)) (answer (* total total total))) answer)) 4. Substitute values into a quadratic equation (defun pseudo-primes (x) (+ (- (* x x) x) 41)) Manipulating Lists 1. Swap the first two items in a list (defun swap (lst) (cons (second lst) (cons (first lst) (rest (rest lst))))) 2. Duplicate the first item in a list (defun dup (lst) (cons (first lst) lst)) 3. Return a random item from a list (defun random-elt (lst) (nth (random (length lst)) lst)) 4. Return the last item in a list (defun last-elt (lst) (nth (- (length lst) 1) lst)) Strings
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ilias ahmed
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The Computer Science solves a lot of daily problems in our lifes, one of them is search problems. These problems sometimes are so hard to find a good solution because is necessary study hard to comprehend the problem, modeling it and after this propose a solution. In this homework, my goal is define and explain the differ- ences between the algorithms DFS - Depth-First Search and Backtrancking. Firstly, I will introduce these algorithms in the section 2 and 3 to DFS and Backtracking respectively. In the section 4 I will show the differences between them. Finally, the conclusion in the section 5.
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BREADTH FIRST SEARCH (bfs) Inventor of bfs Example of bfs Algorithm of bfs Complexity Time Complexity Space Complexity Queue in bfs bfs optimal Container of bfs Completeness of bfs Shallowest node Uninformed search technique Application of bfs Conclusion Thank you for visiting.......
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Me330 lecture3
1.
ME 330 Control
Systems SP2011 Lecture 3
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