Mathematical Decision Making: Predictive Models and Optimization

LECTURE 11

Solving Linear Programs in a Spreadsheet ......................................88

LECTURE 12

Sensitivity Analysis—Trust the Answer? ...........................................98

LECTURE 13

Integer Programming—All or Nothing.............................................106

LECTURE 14

􀀺􀁋􀁈􀁕􀁈􀀃􀀬􀁖􀀃􀁗􀁋􀁈􀀃􀀨􀁉􀂿􀁆􀁌􀁈􀁑􀁆􀁜􀀃􀀩􀁕􀁒􀁑􀁗􀁌􀁈􀁕􀀢 ...................................................116

LECTURE 15

Programs with Multiple Goals .........................................................128

LECTURE 16

Optimization in a Nonlinear Landscape ..........................................137

LECTURE 17

Nonlinear Models—Best Location, Best Pricing .............................144

LECTURE 18

Randomness, Probability, and Expectation ....................................152

LECTURE 19

Decision Trees—Which Scenario Is Best? .....................................161

LECTURE 20

Bayesian Analysis of New Information ...........................................171

LECTURE 21

Markov Models—How a Random Walk Evolves ............................178

LECTURE 22

Queuing—Why Waiting Lines Work or Fail ....................................188

LECTURE 23

Monte Carlo Simulation for a Better Job Bid ..................................197

LECTURE 24

Stochastic Optimization and Risk ...................................................210