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DEoptim - Global Optimization by Differential Evolution

Implements the Differential Evolution algorithm for global optimization of a real-valued function of a real-valued parameter vector as described in Mullen et al. (2011) <doi:10.18637/jss.v040.i06>.

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differential-evolutionevolutionary-algorithmglobal-optimizationoptimization

11.85 score 31 stars 133 dependents 1.3k scripts 17k downloads

nnls - The Lawson-Hanson Algorithm for Non-Negative Least Squares (NNLS)

An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.

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7.72 score 192 dependents 489 scripts 23k downloads

minpack.lm - R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds

The nls.lm function provides an R interface to lmder and lmdif from the MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt algorithm, with support for lower and upper parameter bounds. The implementation can be used via nls-like calls using the nlsLM function.

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openblas

7.48 score 1 stars 196 dependents 2.0k scripts 26k downloads

ALS - Multivariate Curve Resolution Alternating Least Squares (MCR-ALS)

Alternating least squares is often used to resolve components contributing to data with a bilinear structure; the basic technique may be extended to alternating constrained least squares. Commonly applied constraints include unimodality, non-negativity, and normalization of components. Several data matrices may be decomposed simultaneously by assuming that one of the two matrices in the bilinear decomposition is shared between datasets.

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2.15 score 1 stars 14 scripts 313 downloads