Punjab Technical University | 4th
computer based optimization methods
📚 Syllabus - CBOM (MCA 4th)
SECTION-A
Origin & development of O.R., Nature & Characteristic features of O.R., Models & Modeling in
operation research. methodology of O.R., general methods for solving O.R. & decision making,
application, use & limitations of O.R.
Linear Programming formulation, graphical & simplex method, duality in L.P.
SECTION-B
Transportation Problems: Loops, Test For Optimality, Degeneracy In Transpiration Problems.
Unbalanced Transportation Problems. Transmanship Problems, Assignment & Routing
Problems, Traveling Salesman Problem.
SECTION-C
Probability & Uncertainty, Sample Space & Probability, Algebra Of Events, Conditional
Probability.
Decision Making: Decision Making, Enviorment, Decision Under Uncertainty, Decision Under
Risk, Decision Tree Analysis.
SECTION – D
Revised Simplex Method, Integer Programming, Branch & Bound Method, Dynamic
Programming.
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Browse CBOM 4th question papers for MCA students at Punjab Technical University. This page helps students review question patterns, prepare for exams, and understand how previous papers are structured.
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Previous year question papers for computer based optimization methods at Punjab Technical University help students understand how questions were framed in earlier exams, spot commonly repeated topics, and check exam patterns.
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01 Where can I find computer based optimization methods previous year question papers for Master of Computer Applications, 4th semester?
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02 Are these official Punjab Technical University question papers?
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03 How can previous year computer based optimization methods papers help in exam preparation?
Reviewing past papers can help you understand how questions are typically framed, notice commonly repeated topics, and get a sense of the exam pattern before your own exam.
04 What kind of topics does computer based optimization methods usually cover?
The question papers here relate to the official computer based optimization methods syllabus set by the university for this course and semester.
05 Does this page include a computer based optimization methods previous year question paper or solved answers?
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