Assignment No. 1:FLOW CHART Subject: Design and Analysis of Algorithm Assigned: September 11‚ 2015 Assignment Marks: -- Instructor: Tanveer Ahmed Siddiqui Due Date: September 17‚ 2015 Attached Files: Non Objective: The objective of this assignment is to give you some practice regarding Flow chart Characteristics of an algorithm Fundamentals of Algorithmic Problem Solving Instructions: Please read the following instructions before attempting to solve this assignment 1. This is an individual
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NP-hard problems and mentioned about what is NP-hard problems. One of classical NP-hard problems which could not be solved within the polynomial computation time is a cutting stock problem. Wongprakornkul and Charnsethikul said that the most powerful algorithm for solving linear problems with many columns is the column generation procedure and after they give some information about large size of the pattern in cutting stock problems. In the study‚ they proposed to approach; first one is column generation
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Education-201 Innovation & Tech Mgmt-202 Studies in Alternate Dev.-301 CASE Workshop-302 English 1-303 HSS Skills (N305‚ N303‚ N302‚ N318‚ N319‚ A3-301) 1.00 2.00 PM Reserved slot for Electives L U Optics‚ Symmetry & Spec-101 Algorithms-SH1 Principles & Tech of IA-102 Phonetics & Phonology-101 Adv. Biomolecular Archi-103 Broadband Networks-102 Adv. Biology-103 Intro to Middleware SystemsWed 104 NLP – 104 Mechanics of Materials-302 CMOS RFIC
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JHARKHAND 1 2-YEAR M.TECH (CSE) COURSE STRUCTURE M. Tech (CSE) − I Semester Name of the Courses High Performance Computer Architecture Advanced Data Structures and Algorithms Discrete and Analytical Mathematics Elective−I Elective−II High Performance Computer Architecture Laboratory Advanced Data Structures and Algorithms Laboratory Course No. CSC51101 CSC51102 CSC51103 CSE511xx CSE511xx CSC51201 CSC51202 TOTAL Contact Hours L 3 4 3 3 3 0 0 16 T 1 0 1 0 0 0 0 2 P 0 0 0 0 0 3 3 6
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lesson‚ you should be able to: – Identify input‚ output and processing from a problem description – Design solution algorithms in pseudocode for simple problems with appropriate control structures Basic Programming Concepts © VTC 2012 Topic 1‚ p.2 Introduction to Programming (ITE3101) Lecture 1 Steps in Program Development Characteristics of Good Programs Algorithms and Algorithm Development Basic Programming Concepts © VTC 2012 Topic 1‚ p.3 Introduction to Programming (ITE3101) Important
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4 Classification • We need to classify problems in terms of their p y computability. • Th Three classes: l – P class – NP Class – NP‐Complete class NP‐Complete class 5 P class‚ wrt P class wrt Computers • Problems with at least one algorithm that solves the problem in polynomial time wrt to l h bl i l i l i the input size. • Polynomial time Polynomial time – The number of steps needed relates polynomially to the size of the input. to the size of the input – O(n2)‚ O(n9)‚ O(nc)
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solving Decompose a simple problem into its significant parts Understand the variables‚ constants and data types used when solving problems on a computer. Explain and develop algorithms Represent algorithms in pseudocode or flowcharts Topics to be covered Problem Solving The Processing Cycle Defining Diagrams Algorithms Pseudocode Flowcharts Problem Solving We are faced with different types of problems in our everyday life. Every problem requires a solution to resolve it. There maybe
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INTRODUCTION TO THE THEORY OF COMPUTATION‚ SECOND EDITION MICHAEL SIPSER MassachusettsInstitute of Technology THOMSON COURSE TECHNOLOGY Australia * Canada * Mexico * Singapore * Spain * United Kingdom * United States THOIVISON COURSE TECHNOLOGY Introduction to the Theory of Computation‚ Second Edition by Michael Sipser Senior Product Manager: Alyssa Pratt Executive Editor: Mac Mendelsohn Associate Production Manager: Aimee Poirier Senior Marketing Manager: Karen Seitz COPYRIGHT
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error-correcting codes that finds wide applications in many fields. The soft-decision decoding of Reed-Solomon codes provides reliable information from the channel into the decoding process. Many soft-decision decoding algorithms are available. Among them the Koetter-Vardy algorithm is used in this paper. The gain of soft-decision
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Tabu Search Algorithm for the Quadratic Assignment Problem Department of Industrial Engineering Koc University‚ Istanbul‚ Turkey gkirlik@ku.edu.tr Gokhan Kirlik April 16‚ 2010 Abstract Quadratic assignment problem is one of the most known and challenging combinatorial optimization problems. In this study‚ a new tabu search algorithm is proposed to solve the quadratic assignment problem. Proposed algorithm is tested with different tabu search elements such as neighborhood size‚ size of the tabu
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