Numerical Algorithms
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Portunus v.4. 1. 2015
Portunus® is a system simulation software which distinguishes itself by offering several modelling means for the system description, a comfortable user interface, the combination of powerful numerical algorithms and interfaces for programming, autom
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EASY-OPT Express v.1.0
The software system allows to solve constrained nonlinear programming problems by an efficient sequential quadratic programming (SQP) method. A nonlinear objective function is to be minimized subject to nonlinear equality or inequality constraints.
NAG Fortran Library v.20.0
The NAG Fortran 77 Library provides over 1,280 of NAG s callable routines for a broad range of mathematical and statistical areas.
NAGWare f95 Compiler v.5.0
Brings full Fortran 95 standards compliance, Fortran 2000 features, and the capability to readily handle legacy code.
Dew Lab Studio for .NET v.2015
Dew Lab Studio is an object oriented numerical library for Visual Studio .NET 2005, 2008, 2010, 2012, 2013 users. Supports complex numbers, sparse matrices, math parser, probabilities, optimization, signal processing and statistic analysis routines.
Phaser v.3.0
Phaser provides a powerful, yet inviting, computing environment specifically crafted for the graphical and numerical simulations of differential and difference equations, from linear to chaotic.
EASY-FIT Express v.1.0
The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting.
Dew Lab Studio for Delphi/C++ v.3.0.1
Dew Lab Studio includes Dew Math library and additional signal analysis (Dew Signal) and statistical analysis (Dew Stats) add-on packages. Features include: - fastest object oriented numerical library - take advantage of multi core CPU's
Gepasi v.3 3
Gepasi is a software package for modeling biochemical systems.
SBSI Visual 1.3.5 Beta v.1.0
SBSI or Systems Biology Software Infrastructure is a handy suite of software tools specially designed for systems biology.
EASY-FIT ModelDesign v.5 13
Proceeding from given experimental data, i.e., observation times and measurements, the minimum least squares distances of measured data from a fitting criterion are computed, which depends on the solution of the dynamic system.