http://wi.water.usgs.gov/models/pestplusplus/

http://pubs.usgs.gov/tm/tm7c5/

Approaches in Highly Parameterized Inversion: PEST++, a Parameter ESTimation Code Optimized for Large Environmental Models

By  David E. Welter,¹ John E. Doherty,² Randall J. Hunt,³ Christopher T. Muffels,⁴ Matthew J. Tonkin,⁴ and Willem A. Schreüder⁵

¹Computation Water Resource Engineering.
²Flinders University and Watermark Numerical Computing.
³U.S. Geologogical Survey.
⁴S.S. Papadopulos and Associates, Inc.
⁵Principia Mathematica, Inc.

http://www.pardiso-project.org/

PARDISOPARDISO 5.0.0 Solver Project

The package PARDISO is a thread-safe, high-performance, robust, memory efficient and easy to use software for solving large sparse symmetric and unsymmetric linear systems of equations on shared-memory and distributed-memory multiprocessors.

http://www.imm.dtu.dk/~pcha/scosi.html

SCOSI

Scientific Computing in
  Optimization, Simulation, and Inversion

Sponsored by a grant from the Danish Natural Science Research Council (SNF).

http://arma.sourceforge.net/

Armadillo
C++ linear algebra library

https://people.sc.fsu.edu/~jburkardt/

I      work at the            Department of Scientific Computing at      Florida State University (FSU),      and have collected the following information:      

•          c software;        

•          c++ software;        

•          classes containing information about various classes I have taught;        

•          data containing examples of various file formats;        

•          datasets, sets of data associated with specific problems or subjects.        

•          examples of the use of system or proprietary software;        

•          fortran77 software;        

•          fortran90 software;        

•          freefem++ examples;        

•          html documents and documentation systems;        

•          latex documents;        

•          matlab software;        

•          mathematica software;        

•          prelims;        

•          presentations;        

•          posters;        

•          publications;        

•          python software;        

•          r software;        

•          scilab software;        

•          some files in simple text format;    

  
  

•    

http://www.ivan-art.com/science/PROFIT/

PROFIT , code for tomographic forward and inverse modeling   based on active refraction seismic profiling data created by Ivan   Koulakov (IPGG, SB RAS, Novosibirsk, Russia)Version 04, December 2009

http://blog.sina.com.cn/multiphysics