Introduction to Operations ResearchMethodology; Fundamentals; Techniques: mathematical programming; Techniques: probalistic models;Techniques: advanced topics in mathematical programming. |
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Page 359
... hence , or alternatively , a dollar profit a year hence is equivalent to a = 1 / 1.04 dollars today . The quantity a is known as the discount factor . Thus , in considering " profitability " of an inventory policy , the profit or costs ...
... hence , or alternatively , a dollar profit a year hence is equivalent to a = 1 / 1.04 dollars today . The quantity a is known as the discount factor . Thus , in considering " profitability " of an inventory policy , the profit or costs ...
Page 405
... Hence , Poo = P { D , > 3 } . This is just the probability that a Poisson random variable with parameter λ = 1 takes on a value of 3 or more , which is obtained from Table A5.4 of Appendix 5 , so that poo = .08 . P10 P { X , = 0X - 1 ...
... Hence , Poo = P { D , > 3 } . This is just the probability that a Poisson random variable with parameter λ = 1 takes on a value of 3 or more , which is obtained from Table A5.4 of Appendix 5 , so that poo = .08 . P10 P { X , = 0X - 1 ...
Page 513
... Hence , ( B1 ) ;; = ( B - 1 ) ;; for 1 , 2 , m and j = 1 , 2 , ... , m . Since equation ( 0 ) is never multiplied or added to other equations , ( B1 ) 00 = 1 and ( B ) io = 0 for i = 1 , 2 , ... , m . It remains only to identify ( B ̄1 ) ...
... Hence , ( B1 ) ;; = ( B - 1 ) ;; for 1 , 2 , m and j = 1 , 2 , ... , m . Since equation ( 0 ) is never multiplied or added to other equations , ( B1 ) 00 = 1 and ( B ) io = 0 for i = 1 , 2 , ... , m . It remains only to identify ( B ̄1 ) ...
Contents
Introduction 32 | 3 |
Planning an Operations Research Study | 12 |
Probability Theory 223 | 77 |
Copyright | |
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allocation assigned assumed b₁ b₂ basic feasible solution basic solution calling units coefficient concave function Consider constraints convex convex function convex set corresponding decision variables decision-maker demand denote density function discrete random variable dual problem entering basic variable estimate event example expected value exponential distribution formulation given Hence illustrate integer inventory iteration leaving basic variable linear programming problem Markov chain mathematical matrix maximize minimize mixed strategy node non-basic variables non-negative normal distribution objective function obtained operations research optimal policy optimal solution optimal value original parameter payoff period player Poisson input possible primal problem probability distribution queueing model queueing system queueing theory random numbers sample space server service facility set of equations simplex method simulation slack variables solution procedure solve steady-state Suppose technique Theorem tion total cost variance waiting x₁ zero