Orthogonalization Routines in SLEPc

Arnoldi Methods in SLEPc

About SLEPc Technical Reports: These reports are part of the documentation of slepc, the Scalable Library for Eigenvalue Problem Computations. They are intended to complement the Users Guide by providing technical details that normal users typically do not need to know but may be of interest for more advanced users.

Krylov-Schur Methods in SLEPc

About SLEPc Technical Reports: These reports are part of the documentation of slepc, the Scalable Library for Eigenvalue Problem Computations. They are intended to complement the Users Guide by providing technical details that normal users typically do not need to know but may be of interest for more advanced users.

Generating Customized Sparse Eigenvalue Solutions with Lighthouse

Sparse eigenvalue problems arise in many areas of scientific computing. A variety of high-performance numerical software packages including many different eigensolvers are available to solve such problems. The two main challenges are finding the routines that can correctly solve the problem and implementing the desired solution accurately and efficiently using the appropriate software package. ...

Lanczos Methods in SLEPc

About SLEPc Technical Reports: These reports are part of the documentation of slepc, the Scalable Library for Eigenvalue Problem Computations. They are intended to complement the Users Guide by providing technical details that normal users typically do not need to know but may be of interest for more advanced users.

Restarted Lanczos Bidiagonalization for the SVD in SLEPc