Large Scale Optimization Templates

alpha

C++ templates with generic nonlinear optimization algorithms

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Description

Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains:

-- Limited Memory Quasi Newton (L-BFSG)
-- BFSG
-- Conjugate Gradient
-- Gradient Descent
-- Wolf condition Line Search
-- Backtracking Line Search
-- Exact Golden Search
-- Golden Search with Wolf condition

We also distribute a set of tests with the library.

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Additional Project Details

Intended Audience

Education, Engineering, Science/Research

Programming Language

C++

Registered

2012-12-29
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