stopt 5.1+dfsg-5 source package in Ubuntu

Changelog

stopt (5.1+dfsg-5) unstable; urgency=medium

  * Omitting to run tests on 4 and 8 cores on mipsel as it causes freezes on
    the Debian buildds

 -- Pierre Gruet <email address hidden>  Tue, 26 Jul 2022 20:54:48 +0200

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Uploaded by:
Debian Math Team
Uploaded to:
Sid
Original maintainer:
Debian Math Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
stopt_5.1+dfsg-5.dsc 3.0 KiB ddaf4c3220a3bd2c7e8d68fac8c5e3df856adfbd5d4e20a7e21f8a9a8ed25b5a
stopt_5.1+dfsg.orig-texdoc.tar.xz 552.7 KiB 26b18b0399fd608ade5fc53ac0241a331d28eda62c663d7d71ef9ef08ec30cc7
stopt_5.1+dfsg.orig.tar.xz 384.7 KiB edcf56517fca708eefe4c51cdf62b475de3056b85bf2554173d07b3bb63074e0
stopt_5.1+dfsg-5.debian.tar.xz 20.2 KiB db8c200217261f99b7547db718e0c7a63781478a49c9dc4262e77fd75b15aca4

Available diffs

No changes file available.

Binary packages built by this source

libstopt-dev: No summary available for libstopt-dev in ubuntu kinetic.

No description available for libstopt-dev in ubuntu kinetic.

libstopt5: library for stochastic optimization problems (shared library)

 The STochastic OPTimization library (StOpt) aims at providing tools in C++ for
 solving some stochastic optimization problems encountered in finance or in the
 industry. Different methods are available:
  - dynamic programming methods based on Monte Carlo with regressions (global,
  local, kernel and sparse regressors), for underlying states following some
  uncontrolled Stochastic Differential Equations;
  - dynamic programming with a representation of uncertainties with a tree:
  transition problems are here solved by some discretizations of the commands,
  resolution of LP with cut representation of the Bellman values;
  - Semi-Lagrangian methods for Hamilton Jacobi Bellman general equations for
  underlying states following some controlled Stochastic Differential
  Equations;
  - Stochastic Dual Dynamic Programming methods to deal with stochastic stock
  management problems in high dimension. Uncertainties can be given by Monte
  Carlo and can be represented by a state with a finite number of values
  (tree);
  - Some branching nesting methods to solve very high dimensional non linear
  PDEs and some appearing in HJB problems. Besides some methods are provided
  to solve by Monte Carlo some problems where the underlying stochastic state
  is controlled.
  For each method, a framework is provided to optimize the problem and then
  simulate it out of the sample using the optimal commands previously computed.
  Parallelization methods based on OpenMP and MPI are provided in this
  framework permitting to solve high dimensional problems on clusters.
 The library should be flexible enough to be used at different levels depending
 on the user's willingness.
 .
 This package contains the shared libraries: one which allows for
 multithreading (libstopt-mpi) and one which does not (libstopt).

libstopt5-dbgsym: No summary available for libstopt5-dbgsym in ubuntu kinetic.

No description available for libstopt5-dbgsym in ubuntu kinetic.

python3-stopt: library for stochastic optimization problems (Python 3 bindings)

 The STochastic OPTimization library (StOpt) aims at providing tools in C++ for
 solving some stochastic optimization problems encountered in finance or in the
 industry. Python 3 bindings are provided by this package in order to allow one
 to use the C++ library in a Python code.

python3-stopt-dbgsym: debug symbols for python3-stopt
stopt-doc: No summary available for stopt-doc in ubuntu kinetic.

No description available for stopt-doc in ubuntu kinetic.

stopt-examples: No summary available for stopt-examples in ubuntu kinetic.

No description available for stopt-examples in ubuntu kinetic.