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Computer Based Optimization Methods (Statistics/Applied OR)

This is the collection of Sikkim Manipal University (SMU) question and answers for Computer Based Optimization Methods (Statistics/Applied OR). It will help to prepare your examination. All question paper are classified as per semester, subject code and question type of Part A, Part B and Part C with multiple choice options as same as actual examination. SMU question papers includes year 2024, 2023, 2022 Sem I, II, III, IV, V, VI examinations of all subjects.

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Course Name        MCA (Master of Computer Application)

Subject Code       MC0079 (Computer Based Optimization Methods (Statistics/Applied OR))

Get Questions        PART - A    PART - B    PART - C

Computer Based Optimization Methods (Statistics/Applied OR) Syllabus.

Part 1 Operations Research: The Science towards Excellence
Introduction; Scope of Operations Research (OR); The significant features of OR; Phases of operations Research; Methodology of Operations Research; The Structure of Mathematical Model

Part 2 Linear Programming
Introduction; Linear Programming; Some basic definitions; Graphical Methods to Solve the LP

Part 3 The Simplex Method
Introduction; The Standard form of LPP; Solution of the LPP – Simplex Method; The Simplex Algorithm, Flowchart and C/C++ Programs; Penalty cost Method or Big-M Methods; Two Phase Method; Duality Concept; Sensitivity Analysis

Part 4 Transportation Problems
Introduction; Mathematical Formulation of Transportation Problem; Methods of finding Initial Basic Feasible Solution; Modified Distribution Method Algorithm; Degeneracy in Transportation Problem

Part 5 Assignment Problems
Introduction; Special case of Transportation Problem; Hungarian Method; Some special cases

Part 6 Network Analysis and PERT-CPM
Introduction; Basic difference between PERT and CPM; PERT / CPM Network components and precedence relationships; Critical path Calculations; Determination of critical path; Determination of Floats; Project Management – PERT

Part 7 Queuing Theory Models
Introduction; Queuing Theory; Analysis of a Queuing Process; General Structure of Queuing System; Mathematical Analysis of Queuing Process; Poisson-Exponential Single Server Model (Infinite Population); Multiple Service Channels; Erlang Family of Distribution of Service Times; Finite Queuing Models

Part 8 Integer Programming Problem
Introduction; All and Mixed IPP; Gomory‘s all IPP Method; Construction of Gomory‘s Constraints; All IPP algorithm; The Branch and bound technique

Part 9 Game Theory Models
Introduction; Competitive Games and Strategies; Maximin – Minimax Principle and Saddle Point; Dominance; Graphical Method

Part 10 Simulation
Introduction; Process of Simulation; Simulation Procedure; Random Numbers Allocation; Some Miscellaneous Example

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