How to Install and Uninstall libstopt-dev Package on Kali Linux

Last updated: May 04,2024

1. Install "libstopt-dev" package

Learn how to install libstopt-dev on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libstopt-dev
            
                    
    
    Copied

2. Uninstall "libstopt-dev" package

This guide let you learn how to uninstall libstopt-dev on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libstopt-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libstopt-dev package on Kali Linux

Package: libstopt-dev
Source: stopt (5.8+dfsg-1)
Version: 5.8+dfsg-1+b1
Installed-Size: 32045
Maintainer: Debian Math Team
Architecture: amd64
Depends: libstopt5 (= 5.8+dfsg-1+b1), coinor-libcoinutils-dev, coinor-libosi-dev, coinor-libclp-dev, libboost-chrono-dev, libboost-log-dev, libboost-mpi-dev, libboost-random-dev, libboost-serialization-dev, libboost-system-dev, libboost-test-dev, libboost-thread-dev, libboost-timer-dev, libeigen3-dev, libgeners-dev, libopenmpi-dev
Suggests: stopt-doc (= 5.8+dfsg-1+b1)
Size: 3204516
SHA256: 8c30b8a8d01227bf3c0ec1de8fc36b16053dc84b203ddc6afb017db8c17ee3a8
SHA1: ccab01d64dc003365b2b1ab2f85fe0bb2f0f6940
MD5sum: d3a9d6ee3398cd88e73605d380e46b4b
Description: library for stochastic optimization problems (development package)
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 headers and the static libraries (libstopt-mpi
which allows for multithreading, and libstopt which does not).
Description-md5:
Homepage: https://gitlab.com/stochastic-control/StOpt/
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/s/stopt/libstopt-dev_5.8+dfsg-1+b1_amd64.deb