PPT-Solving a Maze using Graph Algorithms

By Clara Bryant How a Human solves a Maze Greek Myth of the Minotaur Greek hero Theseus is given string to find his way through and back out of the maze String and chalk method to solve a maze Mark the places youve visited already . “Always Ready” Since 1883. www.kvfd.net. Modular SCBA Maze Goals. Provide quality training. Functional training for any ability or skill level. Challenge firefighters of any size or stature. Ability to build skills and challenge firefighters. By James . Dashner. James . Dashner. Biography. James . Dashner. was born and raised in a small town in Georgia. His love of books and writing made him dream of being an author someday, and he still can’t believe his dream has come true. He is the author of the . Cheese' is a metaphor for what you want to have in life - whether it's a . good . job, a loving relationship, money, a possession, good health, or spiritual . peace . of mind. And 'The Maze' is where you look for what you want . Starter. Can you think of any games you have played which involve a maze?. Here is an example of a numerical maze:. http://. www.roundgames.com/game/Maze+And+Math. How do you think these mazes . were created?. Raman Veerappan. EPS 109 Final Project. Introduction. Goals. To examine various maze solving algorithms using MATLAB determine which algorithms are most effective for which mazes. Two main algorithms examined. - Week 13. 2. Problem: Laying Telephone Wire. Central office. 3. Wiring: Naive Approach. Central office. Expensive!. 4. Wiring: Better Approach. Central office. Minimize the total length of wire connecting . Hao Wei. 1. , . Jeffrey Xu Yu. 1. , Can L. u. 1. , . Xuemin. Lin. 2. . 1 . The . Chinese University of Hong Kong, Hong Kong. 2 . The . University of New South Wales. , . Sydney, Australia. Graph in Big Data . Background. Take an image of a maze and convert to a matrix. Limitation on . the . appearance of the maze. Use of Brownian motion inefficient to solve mazes. A second matrix as a copy of the maze that will store where the particle has been and walls. PURPOSE. The purpose of this experiment is to learn how controls and variables effect the outcomes of an experiment.. You will also learn how to formulate a hypothesis for a question to be studied.. Finally, you will learn how to analyze data to draw a conclusion about the experiment.. Scott Pakin. 6 March 2018. Jefferson Laboratory. Computing Round Table: Quantum Computing. LA-UR-17-30456. 6-Mar-2018. Quantum Annealing. A . quantum . annealer. exploits quantum effects to heuristically compute . AF Practical Problem Solving Model (PPSM). 8 Step . Model. Overview. Objective. Help Airmen focus on problem solving skills that affect:. Mission. Workcenters. People. Approach aimed at:. Increasing combat capability. Todd Neller. 1. Adrian Fisher. 2. Munyaradzi Choga. 1. Samir Lalvani. 1. Kyle McCarty. 1. 1. Gettysburg College. 2. Adrian Fisher Design Ltd.. Specification. : grid size, start state (square), goal state, jump numbers for each non-goal state. . CIS 606. Spring 2010. Graph representation. Given graph . G. . = (. V. , . E. ). . In . pseudocode. , represent vertex set by . G.V . and edge . set by . G.E. .. G . may be either directed or undirected.. Player Controlled. A third-person camera will follow the player around the maze . The player is depicted as this oddly shaped ball, composed of intricate triangles. Traps, Detours, and Mirrors!. The maze will consist of traps with textured spikes.