Credits Semester – III S.No. Course Code 12 13 14 15 16 17 COMP 731 COMP 732 COMP 733 COMP 736 COMP 837 BAM 796 Semester – IV S.No. Course Code 18 COMP 842 19 COMP 843 20 COMP 852 21 MAS 721 22 BAM 864 23 COMP 799 Course Name Design & Analysis of Algorithms Computer Networks Database Management Systems Object Modeling Techniques and UML Compiler Design Accounting and Finance Management Total Credits Course Name Data Warehousing & Mining Artificial Intelligence and Expert Systems Advanced Java Programming
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fast and slow moving consumables and repairable spares and service parts. ERP and CMMS integration supported and rapid solution deployment through the hosted solution. liz.thompson@armacsystems.com Service Planning and Optimization Suite - The SPO (Service Planning and Optimization) Suite of products is the industry leading solution for forecasting and planning of service parts. Customers include industry leaders such as Cisco System‚ KLA-Tencor‚ and Boeing‚ with return on investment acheived within
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PAPER ON LINEAR PROGRAMMING Vikas Vasam ID: 100-11-5919 Faculty: Prof. Dr Goran Trajkovski CMP 561: Algorithm Analysis VIRGINIA INTERNATIONAL UNIVERSITY Introduction: One of the section of mathematical programming is linear programming. Methods and linear programming models are widely used in the optimization of processes in all sectors of the economy: the development of the production program of the company‚ its distribution
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allow tool retirements in addition to purchases because the stochastic demand forecast for each product can be decreasing. We present a cluster-based heuristic algorithm that can incorporate both variance reduction techniques from the simulation literature and the principles of a generalized maximum flow algorithm from the network optimization literature. © 2005 Wiley Periodicals‚ Inc. Naval Research Logistics 53: 137–150‚ 2006 Keywords: capacity planning; stochastic demand; simulation; submodularity;
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The RSA Algorithm Evgeny Milanov 3 June 2009 In 1978‚ Ron Rivest‚ Adi Shamir‚ and Leonard Adleman introduced a cryptographic algorithm‚ which was essentially to replace the less secure National Bureau of Standards (NBS) algorithm. Most importantly‚ RSA implements a public-key cryptosystem‚ as well as digital signatures. RSA is motivated by the published works of Diffie and Hellman from several years before‚ who described the idea of such an algorithm‚ but never truly developed it. Introduced at the
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maximum delay subject to a given throughput bound‚ we also design an (α‚ β)bicriteria approximation algorithm to construct a BoundedDegree Minimum-Radius Spanning Tree‚ with the radius of the tree at most β times the minimum possible radius for a given degree bound ∆∗ ‚ and the degree of any node at most ∆∗ + α‚ where α and β are positive constants. Lastly‚ we evaluate the efficiency of our algorithms on different types of spanning trees‚ and show that multi-channel scheduling‚ combined with optimal
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Then‚ by the 60’s computers advanced quit a bit. Linear programming models were being solved by linear programming introduced by the refiner engineers. A process optimization program for nonlinear optimization that solved nonlinear programming problems was developed by IBM‚ called POP II. Then‚ immediately after‚ the GOP blending optimization system was developed that used the POP II system. In the 1980’s it was found that the GOP system was not being used by all the refineries routinely and many
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Schedule-driven crossdocking networks. Technical report 9904‚ Atlanta‚ GA‚ USA: Georgia Institute of Technology; 1999. [36] Musa R‚ Arnaout JP‚ Jung H. Ant colony optimization algorithm to solve for the transportation problem of cross-docking network. Computers & Industrial Engineering 2010;59(1):85–92. [37] Sung CS‚ Yang W. An exact algorithm for a cross-docking supply chain network design problem. Journal of the Operational Research Society 2008;59(1):119–36. ¨ ¨ [38] Gumus M‚ Bookbinder JH. Cross-docking
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B.SCOOT Greenough and Kelman proposed Split Cycle Offset Optimization Technique (SCOOT). It is an online signal timing optimizer developed in 1973 by the Transport Research Laboratory in the United Kingdom. SCOOT has been implemented into real-world application since 1979.It is designed for general application within a computerized Urban Traffic Control System. SCOOT implements a method of coordination that adjusts the signal timings frequently and make small increments to match the latest traffic
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TIT 701 Elective-III 1. TCS 031 2. TCS 032 3. TCS 033 4. TCS 034 Elective-IV 1. TCS 041 2. TCS 042 3. TCS 043 4. TCS 044 Elective-V 1. TCS 051 2. TCS 052 3. TCS 053 4. TCS 054 Paper Name Computational Geometry Computational Complexity Parallel Algorithms Cryptography & Network Security Data Mining & Data Warehousing Distributed Database Bioinformatics Data Compression Real Time System Software Project Management Software Quality Engineering Embedded Systems Neural Networks Fuzzy Systems
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