'Hamiltonian path' presentation slideshows

Easy, Hard, and Impossible

Easy, Hard, and Impossible. Elaine Rich. Easy. Tic Tac Toe. Hard. Chess. The Turk. Unveiled in 1770. Searching for the Best Move. A B C D E F G H I J K L M

1.2k views • 101 slides

The Traveling Salesman Problem in Theory & Practice

876 views • 73 slides

Optical Solutions for Bounded NP-Complete Problems

750 views • 60 slides

Trends in Computational Science DNA and Quantum Computers

Lecture 2 (cont). Trends in Computational Science DNA and Quantum Computers. Sources. 1. Nicholas Carter 2. Andrea Mantler, University of North Carolina 3. Michael M. Crow, Executive Vice Provost , Columbia University.

696 views • 58 slides

Fragment Assembly

Fragment Assembly. D7526010@csie.ntu.edu.tw ???. We would like to know the Target DNA sequence. Example. However, There are always ERRORS- Substitution error. However, There are always ERRORS- Insertion Error. However, There are always ERRORS- Deletion error.

837 views • 57 slides

Sequence Assembly

Sequence Assembly. BMI/CS 576 Fall 2010 Colin Dewey. The sequencing problem. We want to determine the identity of the base pairs that make up: A single large molecule of DNA The genome of a single cell/individual organism The genome of a species

1.04k views • 42 slides

Time Complexity

Time Complexity. Consider a deterministic Turing Machine which decides a language . For any string the computation of terminates in a finite amount of transitions. Initial state. Accept or Reject. Decision Time = #transitions. Initial state. Accept or Reject.

555 views • 34 slides

Master Course

412 views • 32 slides

Algorithms and Running Time

Algorithms and Running Time Algorithm: Well defined and finite sequence of steps to solve a well defined problem. Eg.,, Sequence of steps to multiply two numbers. Algorithms are meant to solve all instances of problems for which they are designed.

437 views • 28 slides

Chapter 27 Graph Applications

268 views • 24 slides

CS 332: Algorithms

CS 332: Algorithms. NP Completeness Continued: Reductions. Review: P and NP. What do we mean when we say a problem is in P ? What do we mean when we say a problem is in NP ? What is the relation between P and NP ?. Review: P and NP.

323 views • 24 slides

Computer Science Design and Analysis of Algorithms

Computer Science Design and Analysis of Algorithms. 2D Animation using JAVA. To find out whether the graph has Hamiltonian cycle if there exists a Hamiltonian path. 1. Hamiltonian Path (HP). A Hamiltonian path is a path in an undirected graph which visits each vertex exactly once.

388 views • 23 slides

Solving the Open Vehicle Routing Problem: New Heuristic and Test Problems

Solving the Open Vehicle Routing Problem: New Heuristic and Test Problems. Feiyue Li Bruce Golden Edward Wasil INFORMS San Francisco November 2005. Introduction. ? Open Vehicle Routing Problem (OVRP) A vehicle does not return to the depot after servicing the last customer on a route

403 views • 22 slides

Grover Algorithm

Grover Algorithm. Marek Perkowski. I used slides of Anuj Dawar, Jake Biamonte, Julian Miller and Orlin Grabbe but I am to be blamed for extensions and (possible) mistakes. From Grover to general search. Graph Coloring. Building oracle for graph coloring is a better example.

1.1k views • 21 slides

Secure Overlay Services

Secure Overlay Services. Original paper by Keromytis , ET AL. Presented By Jared Bott April 8, 2010. Overview. SOS Background Problem 1 Problem Transformation? Problem 2 Problem Transformation with an NP-C Problem NP Proof Transformation. Secure Overlay Services.

311 views • 20 slides

A light-based device for solving the Hamiltonian path problem

A light-based device for solving the Hamiltonian path problem. Mihai Oltean Babes-Bolyai University, Cluj-Napoca, Romania moltean@cs.ubbcluj.ro. Outline. Related work Hamiltonian path problem The light-based device Basic ideas Marking / labelling system Hardware implementation

285 views • 20 slides

Embedding long paths in k-ary n-cubes with faulty nodes and links

Embedding long paths in k-ary n-cubes with faulty nodes and links. Yonghong Xiang Durham University. Interconnection networks. Parallel machines can be constructed in essentially two ways: shared-memory machines distributed-memory machines.

295 views • 20 slides

DNA Sequencing Problem

DNA Sequencing Problem. Lin Zhou. Contents. Background Information Formal Definition NP-Completeness Conclusions. Background Information. DNA Sequences too long to be sequenced (billions of base pairs) Shear DNA into millions of small fragments

267 views • 18 slides

On (In)Tractability of Movement Problems

On (In)Tractability of Movement Problems. Course Project for CMSC 858F. Team : Rajesh Chitnis , M. Reza Khani and Vahid Liaghat. Outline of our presentation.

230 views • 15 slides

DNA Computing Zhe Wang

DNA Computing Zhe Wang. Molecular computation of solutions to combinatorial problems. Adleman. Science 266, 1021-1024. 1994. Computing with DNA. Parker. EMBO reports 4, 7-10. 2003. DNA provides a compact means of data storage. Each

238 views • 12 slides