C++ adaptive and header-only Lanczos algorithm library

Python wrapper for Lambda Lanczos

Python implementation of the standard Lanczos Algorithm to find the m "most useful" eigenvalues of a Hermitian matrix.

Implicit matrix function and trace estimator

A free and open source implementation of the DMRG Algorithm

Code to accompany: "Measurement-efficient quantum Krylov subspace diagonalisation".

ESP32 reading images from SD card and scaling them to fit screen size using algorithm.

We explore improving sparse matrix operation efficiency using the Compressed Sparse Row (CSR) format. In the process, we explore an application of the Lanczos algorithm in efficiently computing a low–rank approximation of SVD for sparse matrices.

C++ heavily templated code for single- and many-body hamiltonians with inbuilt chaotic indicators, spectral functions and many more. The algebra is based on the ARMADILLO C++ package.

Personal notes for applied maths and actuarial science thesis / Trace ratio optimization

Some extensions of Eigen

Current Research Work - Nuclear Shell Model - Developing effective interaction for fpg9/2d5/2 model space and Study of Double Gamow-Teller and Double beta decay Strength

SLDM uses the Lanczos algorithm to calculate approximations of the modes (eigenvalues ​​and eigenvectors) of the matrix associated with the problem. These are used for field estimation for a given frequency. This technique is particularly useful when the problem involves large and sparse matrices as it reduces the size of the initial problem.

Numerical simulation and analysis of the physical properties of the 1D Quantum Ising model at 0°K.

Lanczos program for large sparse Hermitian matrices (Fortran 95 with C99 interface)

This package implements the Lanczos algorithm and the conjugate gradient method on an irregular grid.