Turing Machines More Examples Robb T. Koether Homework Review More Examples of Turing Machines
COMP ADD MULT SQRT
Turing Machines - More Examples
Lecture 24 Section 3.1 Robb T. Koether
Hampden-Sydney
6.891 Approximation Algorithms
Problem Set 1 Solutions
March 10, 2000
1. The following problem arises in telecommunications networks, and is known as
the SONET ring loading problem. The network consis
Mergesort and Quicksort
Chapter 8
Kruse and Ryba
Sorting algorithms
Insertion, selection and bubble sort have
quadratic worst-case performance
The faster comparison based algorithm ?
O(nlogn)
Merge
Primal-dual R NC approximat ion algorithms
for (multi)-set (multi)-cover and covering integer programs
V ijay V . Vaeiranit
I ndian Institute of Technology,
D elhi.
Sridhar Rajagopalan'
U niversity of
Segment Trees
[Bentley]
A segment tree is a data structure for storing a set of intervals
I = cfw_[x1 , x1 ], [x2 , x2 ], . . . , [xn , xn ]
and can be used for solving problems e.g. concerning line s
Introduction
Kd-trees
Range searching and kd-trees
Computational Geometry
Lecture 7: Range searching and kd-trees
Computational Geometry
Lecture 7: Range searching and kd-trees
Introduction
Kd-trees
D
CMSC 754:Spring 2010
Dave Mount
Solutions to Homework 1: Convex Hulls and Plane Sweep
Solution 1: As a convenience in describing our solution, let us imagine that we apply a rotation 1 so that
u is di
CMSC 754:Spring 2010
Dave Mount
Solutions to Homework 3: Delaunay Triangulations and Arrangements
Solution 1: Given the point set P , rst construct the Delaunay triangulation of P in O(n log n) time.
Recent PTAS Algorithms on the Euclidean TSP
by
Leonardo Zambito
Submitted as a project for CSE 4080,
Fall 2006
1
Introduction
The Traveling Salesman Problem, or TSP, is an on going study in computer
s
Metric and Euclidean TSP
Travelling Salesman Problem (TSP):
Variants and approximation
Factor 2 algorithm for the metric TSP
Factor 3/2 algorithm for the metric TSP
PTAS for Euclidean TSP
Martin Z
CS880: Approximations Algorithms
Scribe: Dave Andrzejewski
Topic: Euclidean TSP (contd.)
Lecturer: Shuchi Chawla
Date: 2/8/07
Today we continue the discussion of a dynamic programming (DP) approach to
Review Copy. Do not redistribute! 1999-12-01 22:15
An Introduction to Tkinter
by Fredrik Lundh
Copyright 1999 by Fredrik Lundh
Fredrik Lundh
Copyright (c) 1999 by Fredrik Lundh
Review Copy. Do not red
Assignment 1: Lexical Analyzer
CSL202 Programming Paradigms and Pragmatics
Due Date: 1st March 2012
Aim
The aim of this assignment is to implement a lexical analyzer using C or C+ for a simple langua
Randomized Algorithms, Spring 2009: Project
version 1 January 19, 2009
This project consists of two problems that each have both theoretical and
practical aspects. The subproblems outlines a possible
Primal-Dual Algorithm Examples
We just saw the general primal-dual algorithm schema.
We will now see how to apply it to the
Shortest Path Problem
and the
Max Flow Problem
1
The Shortest Path Problem
G
Turing Machines - More Examples
Lecture 24
Section 3.1
Robb T. Koether
Hampden-Sydney College
Wed, Oct 24, 2012
Robb T. Koether (Hampden-Sydney College)
Turing Machines - More Examples
Wed, Oct 24, 20
CS 598CSC: Approximation Algorithms Instructor: Chandra Chekuri
Lecture date: January 28, 2009 Scribe: Md. Abul Hassan Samee
1
Introduction
We discuss two closely related NP Optimization problems, nam
Lecture 4
Balanced Binary Search Trees
6.006 Fall 2009
Lecture 4: Balanced Binary Search Trees
Lecture Overview
The importance of being balanced
AVL trees
Denition
Balance
Insert
Other balanced
ORIE 633 Network Flows
October 2, 2007
Lecture 9
Lecturer: David P. Williamson
1
Scribe: Qiu Wang
Ecient algorithms for max ow
1.1
Blocking ow and Dinics algorithm
In this lecture, well discuss about
Advanced Approximation Algorithms
(CMU 18-854B, Spring 2008)
Lecture 15: Coloring 3-Colorable Graphs using SDP
March 4, 2008
Lecturer: Ryan ODonnell
1
Scribe: Dafna Shahaf
3-Coloring
3Col is the probl
IEOR 266 Lectures 19 and 20
Network Flows and Graphs
November 04 and 06, 2008
1
1.1
Max flow - Min Cut (continued)
Flow Decomposition
In many situations we would like, given a feasible flow, to know h
Trapezoidal decomposition:
Motivation: manipulate/analayze a collection of segments e.g. detect segment intersections e.g., point location data structure Draw verticals at all points binary search for
Trapezoidal decomposition:
Motivation: manipulate/analayze a collection of segments e.g. detect segment intersections e.g., point location data structure Draw verticals at all points binary search for
Naming Convention for CFCs & Halons
Please note: you will not be tested on this information!
It is provided in case anyone is interested
Chlorofluorocarbons (CFCs) are nontoxic, nonflammable chemical
Chapter 3, Part 2
Variants of Turing Machines
CSC527, Chapter 3, Part 2 c 2012 Mitsunori Ogihara
1
Multitape TMs
A multitape Turing machine is a Turing machine with additional
tapes with each tape is
Polynomial Algorithms that Prove an
NP-Hard Hypothesis Implies an
NP-Hard Conclusion
D. Bauer
1
H. J. Broersma
A. Morgana
3
E. Schmeichel
1
2
4
Department of Mathematical Sciences
Stevens Institute of