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S4Vectors:Foundation of vector-like and list-like containers in Bioconductor

The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, Factor, and Hits) are implemented in the S4Vectors package itself (many more are implemented in the IRanges package and in other Bioconductor infrastructure packages).

Maintained by Hervé Pagès. Last updated 2 months ago.

infrastructuredatarepresentationbioconductor-packagecore-package

18 stars 16.05 score 1.0k scripts 1.9k dependents

r-cas

Ryacas0:Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System)

A legacy version of 'Ryacas', an interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).

Maintained by Mikkel Meyer Andersen. Last updated 2 years ago.

cpp

2 stars 7.11 score 36 scripts 6 dependents

phargarten2

matrixNormal:The Matrix Normal Distribution

Computes densities, probabilities, and random deviates of the Matrix Normal (Iranmanesh et al. (2010) <doi:10.7508/ijmsi.2010.02.004>). Also includes simple but useful matrix functions. See the vignette for more information.

Maintained by Paul M. Hargarten. Last updated 3 years ago.

1 stars 5.23 score 28 scripts 4 dependents

resc0059

QuantumOps:Performs Common Linear Algebra Operations Used in Quantum Computing and Implements Quantum Algorithms

Contains basic structures and operations used frequently in quantum computing. Intended to be a convenient tool to help learn quantum mechanics and algorithms. Can create arbitrarily sized kets and bras and implements quantum gates, inner products, and tensor products. Creates arbitrarily controlled versions of all gates and can simulate complete or partial measurements of kets. Has functionality to convert functions into equivalent quantum gates and model quantum noise. Includes larger applications, such as Steane error correction <DOI:10.1103/physrevlett.77.793>, Quantum Fourier Transform and Shor's algorithm (Shor 1999), Grover's algorithm (1996), Quantum Approximation Optimization Algorithm (QAOA) (Farhi, Goldstone, and Gutmann 2014) <arXiv:1411.4028>, and a variational quantum classifier (Schuld 2018) <arXiv:1804.00633>. Can be used with the gridsynth algorithm <arXiv:1212.6253> to perform decomposition into the Clifford+T set.

Maintained by Salonik Resch. Last updated 5 years ago.

1 stars 1.72 score 52 scripts

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