Links

Date: Updated   Submitted
Time Frame: All Time   Last 30 Days   Last 7 Days
Date Link Tags Clicks Descriptions Ratings
31 Aug 2009 Nonlinear Mixed-Effects Modeling of Population Pharmacokinetics Data

The new PK functionality in SimBiology R2009a is used to build simple nonlinear mixed-effects model

Contributed by: Linda Webb
article, data analysis, datapreproc..., drug, drug trial 30 1
11 May 2009 University of Florida Sparse Matrix Collection

An active mirror of the University of Florida Sparse Matrix Collection, with sparse matrices stor...

Contributed by: MATLAB Central Team
sparse 11 1
9 Mar 2007 University of Florida Sparse Matrix Collection

The University of Florida Sparse Matrix Collection is a large, widely available, and actively gro...

Contributed by: Tim Davis
sparse 7 1
16 Sep 2006 Video seminar : Direct methods for sparse linear systems : the MATLAB sparse backslash

This presentation was given as a plenary talk at the SIAM 2006 Annual Meeting. It describes how ...

Contributed by: Tim Davis
sparse 10 1
29 Jul 2006 SuiteSparse: UMFPACK, CHOLMOD, and many other MATLAB built-in functions

SuiteSparse is a suite of sparse matrix packages, many of which are used in MATLAB (x=A\b, lu, ch...

Contributed by: Tim Davis
sparse 27 1
24 Feb 2006 Sparse matrix converter

The BeBOP Sparse Matrix Converter is a library and standalone utility, written in portable ANSI C...

Contributed by: MATLAB Central Team
sparse 22 1
19 Jul 1999 speig.m

This is not speig.m from MATLAB 5. Rather, it is a script to give partial solutions to the genera...

Contributed by: MATLAB Central Team
sparse 11 1
2 Jul 1999 Iterative Methods for Linear Systems

Scripts for solving non-symmetric systems of linear equations iteratively with the Conjugate
Grad...

Contributed by: MATLAB Central Team
sparse 21 1
1 Jul 1999 Expokit

Expokit, the matrix exponential package, computes w(t) = exp(t*A)v for large/sparse
matrices....

Contributed by: MATLAB Central Team
sparse 5 1
 

Public Submission Policy

NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Disclaimer prior to use.

Contact us at files@mathworks.com