An accurate and efficient algorithm, called fast inverse using nested dissection (FIND), for computing non-equilibrium Green's functions (NEGF) for nanoscale transistors has been developed and applied in the simulation of a novel dual-gate metal-oxide-semiconductor field-effect transistor (MOSFET) d
Two space-saving algorithms for computing the permuted transpose of a sparse matrix
โ Scribed by Frank Cameron
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 959 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0965-9978
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We present a storage-efficient and robust algorithm for the computation of eigenvectors of large sparse symmetrical matrices using a Lanczos scheme. The algorithm is based upon a linear combination of Lanczos vectors (LCLV) with a variable iteration depth. A simple method is given to determine the i
a b s t r a c t Solving a sparse system of linear equations Ax = b is one of the most fundamental operations inside any circuit simulator. The equations/rows in the matrix A are often rearranged/permuted before factorization and applying direct or iterative methods to obtain the solution. Permuting
problem of computing the transfer function matrices for regular and singular discrete two-dimensional general state-space models (2D GM) is discussed, and some programmable algorithms are developed that generalize the well-known Leverrier algorithm to 2D systems of general form. The results also sho