Paket: bumps-private-libs (0.7.11-2)

[ Kaynak: python-bumps  ]

data fitting and Bayesian uncertainty modeling for inverse problems (libraries)

Bumps is a set of routines for curve fitting and uncertainty analysis from a Bayesian perspective. In addition to traditional optimizers which search for the best minimum they can find in the search space, bumps provides uncertainty analysis which explores all viable minima and finds confidence intervals on the parameters based on uncertainty in the measured values. Bumps has been used for systems of up to 100 parameters with tight constraints on the parameters. Full uncertainty analysis requires hundreds of thousands of function evaluations, which is only feasible for cheap functions, systems with many processors, or lots of patience.

Bumps includes several traditional local optimizers such as Nelder-Mead simplex, BFGS and differential evolution. Bumps uncertainty analysis uses Markov chain Monte Carlo to explore the parameter space. Although it was created for curve fitting problems, Bumps can explore any probability density function, such as those defined by PyMC. In particular, the bumps uncertainty analysis works well with correlated parameters.

Bumps can be used as a library within your own applications, or as a framework for fitting, complete with a graphical user interface to manage your models.

This package installs the compiled libraries used by the Python modules.

Etiketler: Rol: Paylaşılan Kitaplık

bumps-private-libs ile İlgili Diğer Paketler

• dep: libc6 (>= 2.4)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb

• dep: libgomp1 (>= 4.9)

  GCC OpenMP (GOMP) support library

bumps-private-libs indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	11,2 kB	37,0 kB	[dosya listesi]
i386	12,6 kB	41,0 kB	[dosya listesi]