Index

A

application airline seating allocation binary classification, [1] building insulation counterfeit banknotes, [1] cryptocurrency arbitrage demand forecasts electric vehicles energy systems, [1], [2] factory optimization 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], [7] profit maximization regression, [1], [2], [3] resource allocation scheduling, [1], [2] seating allocation shortest path support vector machines, [1] transportation Traveling Salesman Problem

B

bilinear constraints

boolean variables

C

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

constraint and column generation convex optimization

D

disjunctive programming, [1], [2], [3], [4], [5], [6]

dual problem, [1]

F

feasibility problem

G

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

graph coloring gurobi

L

linear decision rules

logistics

M

max flow problem McCormick envelopes

min-cost flow problem minmax objective mutable parameters

N

network optimization, [1], [2], [3], [4], [5], [6], [7], [8]

networkx, [1], [2], [3], [4], [5], [6] numpy

P

pandas pandas dataframe, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20] Pyomo block, [1], [2], [3], [4], [5], [6], [7], [8], [9] boolean ConstraintList, [1], [2] constraints decorators, [1], [2], [3], [4], [5], [6] display dual variables Expression expressions, [1], [2], [3], [4] kernel library, [1], [2], [3], [4], [5], [6] objectives parameters, [1], [2], [3], [4], [5], [6] persistent solvers RangeSet, [1], [2] sets, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] Suffix, [1] variables, [1], [2]

Q

quadratic optimization

R

robust optimization

S

SAA, [1] sample average approximation, [1], [2] scatterplot scenario analysis scheduling simulations, [1], [2] sklearn, [1] solver cbc, [1], [2], [3], [4], [5], [6] cplex, [1], [2] cvxpy Gurobi HiGHS, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29] highs, [1], [2], [3] ipopt, [1], [2] mosek, [1], [2], [3], [4]

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

T

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

W

web scraping, [1]

Y

yfinance