Scilab 5.5.0
- Справка Scilab
- Scilab
- Дифференциальное счисление, интегрирование
- Основные функции
- Linear Algebra
- Interpolation
- CACSD
- Polynomials
- Signal Processing
- FFTW
- Special Functions
- Библиотека генераторов случайных чисел
- ARnoldi PACKage
- Statistics
- Sparse Matrix
- UMFPACK Interface (sparse)
- Optimization and Simulation
- Genetic Algorithms
- Simulated Annealing
- XML Management
- HDF5 Management
- Файлы: функции ввода/вывода
- Input/Output functions
- Графики
- Графики: экспорт и печать
- GUI
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- Parameters
- Boolean
- Целые числа
- Строки
- Sound file handling
- Time and Date
- Output functions
- Xcos
- Электронная таблица
- Командное окно
- History manager
- Matlab binary files I/O
- Matlab to Scilab Conversion Tips
- Функции для совместимости
- Функции
- Development tools
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- Tcl/Tk Interface
- Text editor (Scinotes)
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- Локализация
- API Scilab
- call_scilab API (Scilab engine)
- JVM
- Java from Scilab
- Java Interface
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Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
UMFPACK Interface (sparse)
- PlotSparse — plot the pattern of non nul elements of a sparse matrix
- ReadHBSparse — read a Harwell-Boeing sparse format file
- cond2sp — computes an approximation of the 2-norm condition number of a s.p.d. sparse matrix
- condestsp — estimate the condition number of a sparse matrix
- rafiter — Iterative refinement for a s.p.d. linear system. This function is obsolete.
- res_with_prec — computes the residual r = Ax-b with precision
- taucs_chdel — utility function used with taucs_chfact
- taucs_chfact — cholesky factorization of a sparse s.p.d. matrix
- taucs_chget — retrieve the Cholesky factorization at the scilab level
- taucs_chinfo — get information on Cholesky factors
- taucs_chsolve — solve a linear sparse (s.p.d.) system given the Cholesky factors
- umf_ludel — utility function used with umf_lufact
- umf_lufact — lu factorization of a sparse matrix
- umf_luget — retrieve lu factors at the Scilab level
- umf_luinfo — get information on LU factors
- umf_lusolve — solve a linear sparse system given the LU factors
- umfpack — solve sparse linear system
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