(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)
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Apr 15, 2021 - R
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stochastic-optimization
Here are 6 public repositories matching this topic...
scenario - an R package for scenario tree construction
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May 8, 2022 - R
This project demostrates an attempt to model an ED system by replicating multiple scenarios that will aid the optimization of the ED services through efficient resource utilization to solve overcrowding problem and reduce average waiting and service time in the ED
simulation
trajectory-optimization
triage
branch-and-bound
discrete-optimization
stochastic-optimization
agent-based-simulation
discrete-event-simulation
waiting-time
triageservice
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Jul 14, 2023 - R
A stokhazesthai (stochastic) process, also called a random process, is one in which outcomes are uncertain (MAT 455, ISU).
markov-model
markov-chain
monte-carlo-simulation
stochastic-differential-equations
markov-chain-monte-carlo
stochastic-processes
poisson-process
conditional-probability
queueing-theory
law-of-large-numbers
stochastic-optimization
brownian-motion
stochastic-calculus
martingales
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Dec 25, 2021 - R
Stochastic minimization project for Statistics course on AGH UST
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Jan 25, 2024 - R
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