Videos

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Making Every Bit Count: Variable Precision? Thumbnail

Making Every Bit Count: Variable Precision?

Presenter
  • Jeffrey Hittinger
February 3, 2017
IPAM
A Sheaf Theoretic Modeling and Composition Framework for Complex Systems of Systems: Application to the Traffic Collision Avoidance Thumbnail

A Sheaf Theoretic Modeling and Composition Framework for Complex Systems of Systems: Application to the Traffic Collision Avoidance

Presenter
  • Alberto Speranzon
February 3, 2017
IMA
Determination of elliptic curves by their adjoint p-adic L-functions Thumbnail

Determination of elliptic curves by their adjoint p-adic L-functions

Presenter
  • Maria Nastasescu
February 2, 2017
SLMath
Vlasov simulations in 6D phase space based on compressed data formats Thumbnail

Vlasov simulations in 6D phase space based on compressed data formats

Presenter
  • Eric Sonnendruecker
February 2, 2017
IPAM
Compression algorithms for Electronic Structure Computations Thumbnail

Compression algorithms for Electronic Structure Computations

Presenter
  • François Gygi
February 2, 2017
IPAM
Moments of quadratic Dirichlet L-functions in function fields Thumbnail

Moments of quadratic Dirichlet L-functions in function fields

Presenter
  • Alexandra Florea
February 2, 2017
SLMath
Partitions into Polynomial Values Thumbnail

Partitions into Polynomial Values

Presenter
  • Ayla Gafni
February 2, 2017
SLMath
The distribution of consecutive prime biases Thumbnail

The distribution of consecutive prime biases

Presenter
  • Robert Oliver
February 2, 2017
SLMath

Algebraic Geometry of Phylogenetic Models

Presenter
  • Colby Long
February 2, 2017
MBI
Correlations of multiplicative functions Thumbnail

Correlations of multiplicative functions

Presenter
  • Lilian Matthiesen
February 2, 2017
SLMath
Scalable Data Science and Apache Flink: Key Challenges and (Some) Solutions Thumbnail

Scalable Data Science and Apache Flink: Key Challenges and (Some) Solutions

Presenter
  • Volker Markl
February 2, 2017
IPAM
ASTRO Spring Course: Eric Feigelson-Time Series Methods for Astronomy, Smoothing & Local Regression Thumbnail

ASTRO Spring Course: Eric Feigelson-Time Series Methods for Astronomy, Smoothing & Local Regression

February 1, 2017
SAMSI