Abstracts of Recent Talks
Dr. Michael Mascagni
SPRNG: A Scalable Library for Pseudorandom Number Generation
A Deterministic Particle Method for OneDimensional ReactionDiffusion Equations
QuasiMonte Carlo Methods: Where Randomness and Determinism Collide
Serial and Parallel Random Number Generation: Theory and Practice
Random Number Generation: A Practitioner's Overview
Parallel and Distributed Quasirandom Numbers
Random Number Generation Using Normal Numbers
New Monte Carlo Methods for Problems in Materials and Biology
First and LastPassage Random Walk Algorithms
Stochastic Methods for Elliptic Partial Differential Equations: Avoiding Complicated Deterministic Structures in Applications
Stochastic Methods for Elliptic Problems: Applications to Materials and Biology
Stochastic Methods in Electrostatics: Applications to Biological and Physical Science
A GridComputing Infrastructure for Monte Carlo Applications
Infrastructure for Parallel, Distributed, and GridBased Monte Carlo
Computations
On the Scrambled Halton Sequence
Monte Carlo Methods for Partial Differential Equations
Monte Carlo Methods for Partial Differential Equations: Computing Permeability
Monte Carlo Methods for Partial Differential Equations: A Personal History
Monte Carlo Methods and Partial Differential Equations: Algorithms and Implications for HighPerformance Computing
Using Simple SDEs (Stochastic Differential Equations) to Solve Complicated PDEs (Partial Differential Equations)
Novel Stochastic Methods in Biochemical Electrostatics
Monte Carlo Methods: Early History and Modern Developments
Random Number Generation Tools for Distributed Simulation on Modern HPC Architectures
Convergence Analysis of Monte Carlo Linear Solvers Using the UlamVon Neumann Algorithm: Necessary and Sufficient Conditions
Computational Geometry Aspects of Monte Carlo Approaches to PDE Problems in Biology, Chemistry, and Materials
Monte Carlo Methods for the Telegrapher's Equation (Based on Mark Kac's Probabilistic Representation)
An Introduction to Brownian Motion, Wiener Measure, and Partial Differential Equations
Reproducibility in Stochastic Simulation
Revisiting Kac's Method: A Monte Carlo Algorithm for Solving the Telegrapher's Equations
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