Futureye_JIT | Java Finite Element Method library for solving PDE

by yuemingl Java Version: 0.0.4 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | Futureye_JIT Summary

Futureye_JIT is a Java library typically used in Institutions, Learning, Education applications. Futureye_JIT has no bugs, it has no vulnerabilities and it has low support. However Futureye_JIT build file is not available and it has a Non-SPDX License. You can download it from GitHub.

futureye_jit is a finite element method (fem) library for solving partial defferential equation (pde) based forward/inverse problems. java is widely used in the industry level software and systems. the jvm's hotspot just-in-time (jit) compiler allows the speed of the java program to approach that of a native application. futureye_jit makes use of the jit feature by generating small sized java bytecode functions at runtime for the mathematical expressions in the definitoin of a problem. the resulting code is as efficient as hand written fortran fem code. futureye_jit provides a mathematically appealing way for building functions and weak forms of a problem by using the java operator overloading technique (thus a concise, natrual and human friendly application programming interface (api) is provided. the basic components in fem are abstracted out, such as node, element, mesh, degree of freedom

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Quality

Security

License

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Support

Futureye_JIT has a low active ecosystem.

It has 23 star(s) with 6 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 479 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Futureye_JIT is 0.0.4

Quality

Futureye_JIT has 0 bugs and 0 code smells.

Security

Futureye_JIT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Futureye_JIT code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Futureye_JIT has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

Futureye_JIT releases are available to install and integrate.

Futureye_JIT has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Futureye_JIT saves you 16956 person hours of effort in developing the same functionality from scratch.

It has 33671 lines of code, 2908 functions and 312 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Futureye_JIT and discovered the below as its top functions. This is intended to give you an instant insight into Futureye_JIT implemented functionality, and help decide if they suit your requirements.

Computes product of the Hessian matrix
Gets the CompressedColMatrix
Computes the inverse of B
Solves CGS using CGS algorithm
Main method for testing
Calculate the mesh
The left - hand side function
Gets the diameter
Generate a function with an ASM
Generates code that calls the computed function on the referenced function
Test to see if a QR decomposition is defined
Returns the right hand side of the given element
Compute the maximum element maximum for each element
Solve G = B
Assigns variables to this vector
Assembly a single element
Compute the refine element
Computes and stores the LU decomposition
Assembly an element
Solve the block matrix
Main entry point
Entry point of the mesh
Assembly an element
Test whether parameters are valid
Assign the shape of a mesh
Create the function parameters

Get all kandi verified functions for this library.

Futureye_JIT Key Features

No Key Features are available at this moment for Futureye_JIT.

Futureye_JIT Examples and Code Snippets

Code

Java

Lines of Code : 69

License : Non-SPDX (NOASSERTION)

Copy

package edu.uta.futureye.tutorial;

import static edu.uta.futureye.function.FMath.C0;
import static edu.uta.futureye.function.FMath.grad;
import static edu.uta.futureye.function.FMath.x;
import static edu.uta.futureye.function.FMath.y;

import java.u

Stokes Equation in A Box,Code

Java

Lines of Code : 34

License : Non-SPDX (NOASSERTION)

Copy

/**
 * Stokes problem is defined as
 *  -\nabla\cdot(k\nabla{\vec{u}}) + \nabla{p} = \vec{f}\\
 *  div~{\vec{u}} = 0
 *
 *  or written explicitly in each dimension:
 *   -k*(u1_xx+u1_yy) + p_x = f1
 *   -k*(u2_xx+u2_yy) + p_y = f2
 *   u1_x+u2_y

Upwind technique for 1D convection diffusion problem

Java

Lines of Code : 24

License : Non-SPDX (NOASSERTION)

Copy

MathFunc upwindCoef = new UserDefFunc() {
	//@Override
	public double apply(AssembleParam ap, double... args) {
		Node node1 = ap.element.nodes.at(ap.testDOFIdx);
		Node node2 = ap.element.nodes.at(ap.testDOFIdx==1?2:1);
		double coord1 = node1.coord

Community Discussions

No Community Discussions are available at this moment for Futureye_JIT.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Futureye_JIT

You can download it from GitHub.
You can use Futureye_JIT like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Futureye_JIT component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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