Index

A

AMPL, [1], [2], [3], [4] AMPL Python API, [1], [2], [3], [4], [5], [6], [7] display kernel library parameters, [1], [2], [3] Set sets, [1], [2], [3], [4], [5], [6] AMPL MP Library, [1], [2], [3], [4], [5], [6] AMPL MP library, [1] application airline seating allocation binary classification, [1] building insulation counterfeit banknotes, [1] cryptocurrency arbitrage demand forecasts electric vehicles energy systems, [1], [2] fleet assignment inventory management, [1] investment, [1], [2], [3], [4], [5] job shop maintenance planning portfolio, [1], [2], [3], [4], [5], [6] production planning, [1], [2], [3], [4], [5], [6] profit maximization regression, [1], [2] resource allocation scheduling, [1], [2] seating allocation support vector machines, [1] transportation

B

bilinear constraints

C

chance constraints, [1], [2] conic optimization exponential cones, [1], [2] second order cones, [1]

constraint and column generation

D

disjunctive programming, [1], [2], [3], [4], [5]

dual problem

F

feasibility problem

G

Gantt charts, [1], [2], [3]

L

linear decision rules

M

max flow problem

McCormick envelopes mutable parameters

N

network optimization, [1], [2], [3], [4], [5]

networkx, [1], [2], [3]

P

pandas dataframe, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17]

Q

quadratic optimization

R

robust optimization

S

SAA, [1] sample average approximation, [1], [2] scatterplot scenario analysis simulations, [1], [2] solver cbc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19] couenne cvxpy highs, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] ipopt Ipopt Mosek, [1], [2] mosek, [1], [2]

Solvers Mosek stochastic optimization, [1], [2], [3], [4], [5], [6]

T

two-stage problem, [1], [2]

W

web scraping, [1]