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hsolve:电磁仿真大规模非正定厄密特征值求解。Certified shift-invert eigensolver for large sparse Hermitian (indefinite, generalized) eigenproblems from EM simulation: MUMPS LDLᵀ + block Krylov-Schur + Sylvester-inertia completeness certificate.

  • computational-electromagnetics
  • cpp17
  • eigensolver
  • eigenvalues

This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

### This project has been merged ESPHelper. Please use https://github.com/ItKindaWorks/ESPHelper ### A port of the ESPHelper library for ESP32 devices

A sort wrapper enabling both use of random-access sorting on non-random access containers, and increased performance for the sorting of large types.

  • sort
  • sorting

Simple yet powerful live data computation framework. C++ port of Scramjet framework.

  • event-stream
  • reactive-programming
  • stream
  • data-stream