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jsci from group net.sf.jsci (version 1.2)
JSci is a set of open source Java packages. The aim is to encapsulate scientific methods/principles in the most natural way possible. As such they should greatly aid the development of scientific based software.
It offers: abstract math interfaces, linear algebra (support for various matrix and vector types), statistics (including probability distributions), wavelets, newtonian mechanics, chart/graph components (AWT and Swing), MathML DOM implementation, ...
Note: some packages, like javax.comm, for the astro and instruments package aren't listed as dependencies (not available).
Artifact jsci
Group net.sf.jsci
Version 1.2
Last update 28. April 2012
Organization physics.org
URL http://jsci.sourceforge.net/
License GNU Lesser General Public License 2.1
Dependencies amount 3
Dependencies lpsolve, mathml-dom-java, xercesImpl,
There are maybe transitive dependencies!
Group net.sf.jsci
Version 1.2
Last update 28. April 2012
Organization physics.org
URL http://jsci.sourceforge.net/
License GNU Lesser General Public License 2.1
Dependencies amount 3
Dependencies lpsolve, mathml-dom-java, xercesImpl,
There are maybe transitive dependencies!
rng from group de.cit-ec.ml (version 1.0.0)
This is an implementation of the Neural Gas algorithm on
distance data (Relational Neural Gas) for unsupervised clustering.
We recommend that you use the functions provided by the RelationalNeuralGas
class for your purposes. All other classes and functions are utilities which
are used by this central class. In particular, you can use RelationalNeuralGas.train()
to obtain a RNGModel (i.e. a clustering of your data), and subsequently
you can use RelationalNeuralGas.getAssignments() to obtain the resulting
cluster assignments, and RelationalNeuralGas.classify() to cluster new points
which are not part of the training data set.
The underlying scientific work is summarized nicely in the dissertation
"Topographic Mapping of Dissimilarity Datasets" by Alexander Hasenfuss
(2009).
The basic properties of an Relational Neural Gas algorithm are the following:
1.) It is relational: The data is represented only in terms of a pairwise
distance matrix.
2.) It is a clustering method: The algorithm provides a clustering model,
that is: After calculation,
each data point should be assigned to a cluster (for this package here we
only consider hard clustering, that is: each data point is assigned to
exactly one cluster).
3.) It is a vector quantization method: Each cluster corresponds to a
prototype, which is in the center of the
cluster and data points are assigned to the cluster if and only if they are
closest to this particular prototype.
4.) It is rank-based: The updates of the prototypes depend only on
the distance ranking, not on the absolute value of the distances.
Artifact rng
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
chips-n-salsa from group org.cicirello (version 7.0.0)
Chips-n-Salsa is a Java library of customizable,
hybridizable, iterative, parallel, stochastic, and self-adaptive
local search algorithms. The library includes implementations of
several stochastic local search algorithms, including simulated
annealing, hill climbers, as well as constructive search algorithms
such as stochastic sampling. Chips-n-Salsa now also includes genetic
algorithms as well as evolutionary algorithms more generally. The
library very extensively supports simulated annealing. It includes
several classes for representing solutions to a variety of optimization
problems. For example, the library includes a BitVector class that
implements vectors of bits, as well as classes for representing
solutions to problems where we are searching for an optimal vector
of integers or reals. For each of the built-in representations, the
library provides the most common mutation operators for generating
random neighbors of candidate solutions, as well as common crossover
operators for use with evolutionary algorithms. Additionally, the
library provides extensive support for permutation optimization
problems, including implementations of many different mutation
operators for permutations, and utilizing the efficiently implemented
Permutation class of the JavaPermutationTools (JPT) library.
Chips-n-Salsa is customizable, making extensive use of Java's generic
types, enabling using the library to optimize other types of representations
beyond what is provided in the library. It is hybridizable, providing
support for integrating multiple forms of local search (e.g., using a hill
climber on a solution generated by simulated annealing), creating hybrid
mutation operators (e.g., local search using multiple mutation operators),
as well as support for running more than one type of search for the same
problem concurrently using multiple threads as a form of algorithm portfolio.
Chips-n-Salsa is iterative, with support for multistart metaheuristics,
including implementations of several restart schedules for varying the run
lengths across the restarts. It also supports parallel execution of multiple
instances of the same, or different, stochastic local search algorithms for
an instance of a problem to accelerate the search process. The library
supports self-adaptive search in a variety of ways, such as including
implementations of adaptive annealing schedules for simulated annealing,
such as the Modified Lam schedule, implementations of the simpler annealing
schedules but which self-tune the initial temperature and other parameters,
and restart schedules that adapt to run length.
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Artifact chips-n-salsa
Group org.cicirello
Version 7.0.0
Last update 01. August 2024
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
Group org.cicirello
Version 7.0.0
Last update 01. August 2024
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
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