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Our customers

This is a partial list of companies who are using our libraries:

ABB Robotics
Allstate
Arcam
Astra Schedule
Babson College
Canadian Council on Learning
Canyon Associates
Caxton Associates
CECity
Constellation Energy
CreditSights
DeepOcean
Duke University
Dynamotive
Elecsoft
Engelhard Corporation
Epcor
Equipoise Software
Galileo International
GAM UK
Gammex
GlaxoSmithKline
Global Matrix
The Hartford
Infinera Corporation
Intel
JDS Uniphase
LaBranche & Co.
Learning & Skills Council
Jacobs Consultancy
Litman Gregory
Lucas Systems
Malvern Instruments
Medrio
Merck & Co.
Mintera.
Monitor Software
MorningStar
NanoString Technologies
Paletta Invent
Parametric Portfolio Associates
Prosanos
RATA Associates
RiskShield
Ramboll
Standard & Poor's
Strategic Analysis Corporation
Univ. of Alicante
Univ. of South Carolina
vielife
Xerox
US Army

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Extreme Optimization Numerical Libraries for .NET

What's New in Version 5.1

Math library

  • Support for quadruple precision numbers with up to 34 digits, including our full vector and matrix library. Real and complex numbers are supported.
  • Smoothing cubic splines, monotonicity preserving splines.
  • Nonlinear curve fitting for arbitrary domains, including surface fitting.
  • Improved Quadratic Programming solver.

Vector and Matrix Library

  • GPU computing: offload computations to the GPU.
  • Data is kept on the GPU as long as possible for optimal performance.
  • Row and column labels for vectors and matrices.
  • Automatic alignment on labels.
  • Grouping and aggregation on vectors and matrices.
  • Optimized elementary functions on vectors and matrices.
  • Reshaping operations on vectors and matrices.
  • Support for F# 3.1 indexing and slicing.

Data Frame Library

  • Data frame class supporting advanced data manipulation.
  • Simple and multi-level indexes.
  • Pivot tables, stacking, unstacking of data frames.
  • Joins and merges, join to nearest.
  • Advanced grouping and aggregation.
  • Supports LINQ queries.
  • Integrated with statistical models.

Statistics Library

  • GARCH models (Generalized AutoRegressive Conditional Heteroskedasticity).
  • Regularized linear regression models: Ridge regression, LASSO and elastic net.
  • Cumulative multivariate normal distribution.
  • Hyperbolic and Inverse Gaussian distribution.
  • Generic truncated distributions.
  • Post hoc tests for one-way ANOVA: Tukey, Tukey-Kramer, Scheffé, Fisher-Hayter
  • Ljung-Box test for autoregression.