Computational process model of postcompletion error for working memory (e.g. Byrne & Bovair, 1997) and interruption (e.g. Ratwani & Trafton, 2011) paradigms.
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Updated
Aug 28, 2016 - Common Lisp
Computational process model of postcompletion error for working memory (e.g. Byrne & Bovair, 1997) and interruption (e.g. Ratwani & Trafton, 2011) paradigms.
A Polymer Monte Carlo Simulation Program
Competitive Isolation player using Monte-Carlo simulation
A set of handy scripts and tools that helps you create, manage, and run your SAM project. Frodo supports `SLURM` workload manager and can parallelize your simulation over multiple nodes.
A variety of analysis examples primarily using pandas, numpy and seaborn.
Implementation of various RL algorithms in different environments
Under what conditions does tournament structure matter most? least? Test with simulated competitors and actual Hot Wheels race times.
Sampling from a Maximum-Likelihood fitted Multi-Gaussian distribution in TensorFlow 2.1
Simulation and modelling problem solving
Multi-Level Monte Carlo method for pricing UE & path-dependent options
Projeto de simulação para análise do impacto de qualidade durante o transporte de sementes de soja
Estimation of the value of pi using Monte Carlo simulations
Simulation of unmeasured confounding
Small program for spin crossover simulation in Ising model aproximation utlizing Monte Carlo method
Forecast clients’ portfolios to determine in how many years they can afford real estate at their desired price.
Mathematical Modeling in Chemical Engineering Course Project
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