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Memetic Solver

Memetic strategy for solving irreversably ill-conditioned parametric inverse problems.

Лицензия

Лицензия
Группа

Группа

io.github.jswk.ms
Идентификатор

Идентификатор

ms
Последняя версия

Последняя версия

0.0.4-RELEASE
Дата

Дата
Тип

Тип

pom
Описание

Описание

Memetic Solver
Memetic strategy for solving irreversably ill-conditioned parametric inverse problems.
Ссылка на сайт

Ссылка на сайт

https://github.com/jswk/ms
Система контроля версий

Система контроля версий

http://github.com/jswk/ms/tree/master

Скачать ms

Имя Файла Размер
ms-0.0.4-RELEASE.pom 7 KB
Обзор

Как подключить последнюю версию

<!-- https://jarcasting.com/artifacts/io.github.jswk.ms/ms/ -->
<dependency>
    <groupId>io.github.jswk.ms</groupId>
    <artifactId>ms</artifactId>
    <version>0.0.4-RELEASE</version>
    <type>pom</type>
</dependency>
// https://jarcasting.com/artifacts/io.github.jswk.ms/ms/
implementation 'io.github.jswk.ms:ms:0.0.4-RELEASE'
// https://jarcasting.com/artifacts/io.github.jswk.ms/ms/
implementation ("io.github.jswk.ms:ms:0.0.4-RELEASE")
'io.github.jswk.ms:ms:pom:0.0.4-RELEASE'
<dependency org="io.github.jswk.ms" name="ms" rev="0.0.4-RELEASE">
  <artifact name="ms" type="pom" />
</dependency>
@Grapes(
@Grab(group='io.github.jswk.ms', module='ms', version='0.0.4-RELEASE')
)
libraryDependencies += "io.github.jswk.ms" % "ms" % "0.0.4-RELEASE"
[io.github.jswk.ms/ms "0.0.4-RELEASE"]

Зависимости

Библиотека не имеет зависимостей. Это самодостаточное приложение, которое не зависит ни от каких других библиотек.

Модули Проекта

  • ms-core
  • ms-examples

Memetic Strategy for solving irreversibly ill-conditioned inverse parametric problems

The Memetic Strategy (MS) is a framework for solving irreversibly ill-conditioned inverse parametric problems. Such problems arise in numerous practical applications, including medical diagnosis, hydrocarbon prospecting and defectoscopy. MS attempts to detect areas of insensitivity of the objective function of such problems, giving practitioners in the field more insight into the particular instance of a problem.

The strategy consists of several phases: global, local and shape approximation. The global phase determines separated sets of attraction of the insensitivity regions (i.e. lowlands). Then, the local phase proceeds to probe the set of attraction, in preparation for the lowland shape approximation.

Modules

The functionality is placed in module ms-main. Examples of how to use the library are shown in ms-examples.

Usage

Add the following dependency to your pom.xml:

<dependency>
    <groupId>io.github.jswk.ms</groupId>
    <artifactId>ms-core</artifactId>
    <version>some-version</version>
</dependency>

Upgrading dependencies

Run ./mvnw versions:display-dependency-updates -U for dependencies updates and ../mvnw versions:display-plugin-updates -U for plugin updates.

Releasing

Run ./mvnw clean deploy -Pgpg -Dchangelist=-RELEASE -Drevision=<version>.

Версии библиотеки

Версия
0.0.4-RELEASE
0.0.3-RELEASE
0.0.2-RELEASE
0.0.1-RELEASE