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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 2023, 2022, 2021 Sem I, II, III, IV, V, VI examinations of all subjects.

SMU question test set of old, last and previous year are updated regularly and it is absolutely free to use. Question paper includes Visual basic 6, VB.Net, C#, ASP.Net, Web, Oracle, Database, SQL, Software Engineering, C, C++, OOPS, MBA, MCA, BSC IT I have requested you kindly send me the question paper of Computer Based Optimization Methods (Statistics/Applied OR), SMU - Master of Computer Application.

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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