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INIS
stochastic processes
100%
optimization
73%
distribution
36%
solutions
31%
sampling
31%
cost
29%
risks
28%
programming
25%
modeling
24%
applications
23%
demand
23%
planning
23%
algorithms
23%
probability
23%
approximations
23%
simulation
23%
policy
22%
energy
21%
management
20%
constraints
20%
monte carlo method
20%
values
20%
convergence
19%
performance
17%
randomness
17%
data
16%
allocations
14%
reduction
14%
size
13%
dynamics
13%
energy systems
12%
information
11%
decomposition
11%
production
10%
travel
9%
entropy
9%
variations
9%
dynamic programming
9%
levels
8%
learning
8%
yields
8%
markov process
8%
carriers
8%
correlations
7%
distance
7%
chains
6%
prices
6%
emission
6%
open pit mining
6%
climatic change
6%
Keyphrases
Stochastic Optimization Problem
16%
Sample Average Approximation
14%
Stochastic Program
13%
Numerical Results
13%
Stochastic Optimization
13%
Energy Systems
12%
Revenue Management
11%
Sampling Methods
11%
Chilean
9%
Convergence Rate
9%
Latin Hypercube Sampling
8%
Monte Carlo Sampling
8%
Monte Carlo Simulation
8%
Numerical Experiments
8%
Stochastic Dominance
8%
Variance Reduction
7%
Decision Maker
7%
Distributionally Robust
7%
Optimization Problem
7%
Two-stage Stochastic Programming
6%
Chile
6%
Decomposition Method
6%
Customer Preference
6%
Preference Ordering
6%
Stochastic Dual Dynamic Programming Algorithm
6%
Stochastic Dual Dynamic Programming
6%
Cross-entropy Method
6%
Application-oriented
6%
Risk Measures
6%
Stochastic Dominance Constraints
6%
Second-order Stochastic Dominance Constraints
5%
Numerical Examples
5%
Energy Transition
5%
Probability Distribution
5%
Mathematics
Stochastics
74%
Stochastic Dominance
17%
Probability
15%
Sample Average
14%
Monte Carlo
13%
Objective Function
11%
Rare Event
10%
Monte Carlo Method
9%
Cross-Entropy
9%
Numerical Experiment
8%
Rate of Convergence
8%
Decision Maker
7%
Convex
7%
Latin Hypercube
7%
Minimizes
7%
Dynamic Programming
6%
Importance Sampling
6%
Total Variation Distance
6%
Optimal Path
6%
Risk Aversion
6%
Deviation Result
6%
Revenue Management
6%
Decomposition Method
6%
Variance Reduction Technique
5%
Numerical Example
5%
