510.6401 Design and Analysis of Algorithms January 21‚ 2008 Problem Set 1 Due: February 4‚ 2008. 1. In the bin packing problem‚ the input consists of a sequence of items I = {1‚ . . . ‚ n} where each item i has a size‚ which is a real number 0 ≤ ai ≤ 1. The goal is to “pack” the items in the smallest possible number of bins of unit size. Formally‚ the items should be partitioned in disjoint subsets (bins)‚ such that the total size in each bin is at most 1. The first fit heuristic scans the items
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CRITICAL CHAIN PROJECT MANAGEMENT A Postgraduate Project Report submitted to Manipal University in partial fulfillment of the requirement for the award of the degree of MASTER OF TECHNOLOGY In Construction Engineering and Management Submitted by Priyanka P Under the guidance of Mr. MOHAMMED FARHAN SHARIFF Deputy Manager Project Planning & Co-ordination Brigade Enterprises Limited Bangalore Mr. ANUP WILFRED SEBASTIAN Assistant Professor Dept. of Civil Engineering M.I.T Manipal
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item being studied for compliance to a Quality Standard. Here it is a dimension such as the contents of a jar of fruit jam‚ the size of a pair of shoes etc. These are called X-bar and R charts. One calculates X-bar-bar and R-bar averages and these are the centre lines of the SPC run-charts that will be drawn. The charts MUST have these centre lines PLUS upper and lower control AND range limits. The points on these graphs MUST be joined so that a reader can follow the level of quality versus centre lines
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CONTROL CHARTS FOR VARIABLES TUTORIAL 4 : CONTROL CHARTS FOR VARIABLES 1. Control charts for X and R are to be established on a certain dimension part‚ measured in millimeters. Data were collected in subgroup sizes of 6 and are given below. Determine the trial central line and control limits. Assume assignable causes and revise the central line and control limits. SUBGROUP NUMBER 1 2 3 4 5 6 7 8 9 10 11 12 13 X 20.35 20.40 20.36 20.65 20.20 20.40 20.43 20.37 20.48 20.42 20.39 20.38 20.40
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Backtracking is a general algorithm for finding all (or some) solutions to some computational problem‚ that incrementally builds candidates to the solutions‚ and abandons each partial candidate c ("backtracks") as soon as it determines that c cannot possibly be completed to a valid solution Recursive Backtracking: an implicit solution tree is built‚ but when it becomes apparent that the current path cannot lead to the desired solution‚ rather than return to the root node‚ the latest alteration
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Project 1 - Methodologies for Analyzing Algorithms Video games today are very detailed and very realistic. It is amazing how far video games have come in the last 30 years. Now you have new games like Gears of War 3 that is so graphically intense that there is plenty of coding involved. But just basic programming isn’t enough for these video games‚ you need algorithms. The more advanced the video game is‚ the more advanced the algorithm is as well. Algorithm in video games was not created recently
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Algorithm Analysis and Design NP-Completeness Pham Quang Dung Hanoi‚ 2012 Pham Quang Dung () Algorithm Analysis and Design NP-Completeness Hanoi‚ 2012 1 / 31 Outline 1 Easy problems - class P Decision problems vs. Optimization problems Class NP Reductions NP-complete class 2 3 4 5 Pham Quang Dung () Algorithm Analysis and Design NP-Completeness Hanoi‚ 2012 2 / 31 Class P: Problems that are solvable by polynomial-time algorithms (O(nk ) where n
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Application Exercise # 1 (Common to session1 to 5) (50 marks) A. Draw a flow chart of any one function/process in your organization. (Marketing‚ Operations‚ Finance‚ Accounting‚ Human Resources and Information Systems) Use special symbols to draw the flow process chart for the above question Analyze the flow chart drawn above using the basic question. (How‚ What‚ When‚ Where & Who) Suggest improvements for increasing the efficiency or effectiveness of the above chosen function.
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Notes on Algorithms‚ Pseudocode‚ and Flowcharts Introduction Do you like hot sauce? Here is an ‘algorithm’ for how to make a good one: Volcanic Hot Sauce 10-12 scotch bonnets or Habanero‚ serrano‚ jalapeno 6 cloves Garlic‚ peeled and chopped 1/3 c Fresh lime juice 1/3 c Distilled white vinegar 2 tbl Dijon style mustard 2 tbl Olive oil 1 tsp Molasses 1/2 tsp Turmeric 1 tbl Salt or to taste 1. Combine the pepper‚ garlic‚ lime juice‚ vinegar‚ mustard‚ oil‚ molasses‚ turmeric‚ and salt in a blender
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Recognize the difference between grouped and ungrouped data Construct a frequency distribution Construct a histogram‚ a frequency polygon‚ an ogive‚ a pie chart‚ Ungrouped data have not been summarized in any way • are also called raw data • Grouped data • have been organized into a frequency distribution 42 26 32 34 57 30 58 37 50 30 53 40 30 47 49 50 40 32 31 40 52 28 23 35 25 30 36 32 26 50 55 30 58 64 52 49 33 43 46 32 61 31 30 40
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