Definition: (1) Matrix, (2) Term rank of a matrix, (3) Chromatic Function, (4) Chromatic Index of G, (5) MAP. Answer: a) Matrix: The mxn matrix A = (aij) in which aij = 1 if ei (( si, and aij = 0 otherwise we call such a matrix, in which each entry is 0 or 1, a (0, 1) matrix. b) The Term Rank of A Matrix: The term rank of A is the number of elements in a partial transversal of largest possible size. For the figure, the term rank is 4. c) Chromatic function: Let G be a simple graph and Let PG
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University of Lethbridge – Faculty of Management MANAGEMENT 3100 Intermediate Financial Accounting I Course Outline – Fall 2014 Instructor: Carla Carnaghan, Ph.D., CISA, CMA Office & Hours: Calgary Campus office, 5:00 – 6:00pm Thursdays. Please email for appointment, and for alternative times. Office hours may be done in person, with Webex, or by phone, and for smaller issues with email. E-mail: Carla.Carnaghan@uleth.ca (emails received in the evening, particularly
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Quantitative Association Rule Mining Using Information-Theoretic Approach Mary Minge University of Computer Studies, Lashio dimennyaung@gmail.com Abstract Quantitative Association Rule (QAR) mining has been recognized an influential research problem due to the popularity of quantitative databases and the usefulness of association rules in real life. Unlike Boolean Association Rules (BARs), which only consider boolean attributes, QARs consist of quantitative attributes which contain much richer
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1830–1846 Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa A new multi-objective multi-mode model for solving preemptive time–cost–quality trade-off project scheduling problems Madjid Tavana a,b,⇑, Amir-Reza Abtahi c, Kaveh Khalili-Damghani d a Business Systems and Analytics Department, Lindback Distinguished Chair of Information Systems and Decision Sciences, La Salle University, Philadelphia, PA 19141, USA Business
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Coloring Vertices and Deferring Edges Christopher M. Dellin Siddhartha S. Srinivasa {cdellin,siddh}@cs.cmu.edu The Robotics Institute Carnegie Mellon University Abstract—We formulate and study the comprehensive multi-root (CMR) planning problem, in which feasible paths are desired between multiple regions. We propose two primary contributions which allow us to extend stateof-the-art sampling-based planners. First, we propose the notion of vertex coloring as a compact representation of
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Submission Deadline: 6th May, 2013 Submission Path: What is needed to be submitted? 1- High level Design of Circuit- 27th April, 2013 2- Detailed logic diagram in working condition implemented in Logic Works.- 6th May, 2013 Project 1: Traffic lights Problem If the three traffic lights (leaving yellow) are written as R, G and G- where G- is the green light to turn right, then the traffic signals operate as follows. The traffic lights
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(UTBM) Rue Thierry MIEG, Belfort Cedex 90010, France maurizio.cirricione@utbm.fr 1 2 Abstract. A very important problem in computer vision is the matching of features extracted from pairs of images. At this proposal, a new neural network, the Double Asynchronous Competitor (DAC) is presented. It exploits the self-organization for solving the matching as a pattern recognition problem. As a consequence, a set of attributes is required for each image feature. The network is able to find the variety
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Problem Definition: The problem here is to calculate the usable area in square feet of house. We are to assume that the house has a maximum of four rooms, and that each room is rectangular. Problem Analysis Objective: Devise a program that calculates the usable area of a house. This is minimally what is being requested. • Outputs: This problem calls for a simple output, the total usable square foot of the house, with a maximum of four rooms, each room being rectangular.
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the tabs on each page starting with page 2. Cut the bottom off of this top cover to reveal the tabs for the subsequent pages. Staple or bind the top of all pages to complete your flip book. Compiled by Melisa Hancock (Send feedback to: melisa@ksu.edu) 1 Mathematical Practice Standards (MP) summary of each standard 1. Make sense of problems and persevere in solving them. Mathematically proficient students interpret and make meaning of the problem looking for starting points. In Kindergarten
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Solving the Salinity Control Problem in a Potable Water System⋆ Chiu Wo Choi and Jimmy H.M. Lee Department of Computer Science and Engineering The Chinese University of Hong Kong Shatin, N.T., Hong Kong {cwchoi,jlee}@cse.cuhk.edu.hk Abstract. Salinity is the relative concentration of salts in water. In a city of southern China, the local water supply company pumps water from a nearby river for potable use. During the winter dry season, the intrusion of sea water raises the salinity of the river
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