by Benoît Jacob & Gaël Guennebaud

Eigen is a C++ template library for linear algebra, matrix and vector operations, numerical solvers, and related algorithms.

Operating system: Windows

Publisher: Benoît Jacob & Gaël Guennebaud

Antivirus check: passed

Last revision: Last week

Report misleading

Eigen is a high-performance C++ numerical library for linear algebra. It supports a wide range of operations, including matrix and vector operations, linear system solves, eigenvalues and eigenvectors, and decompositions such as QR and SVD. Eigen also provides error-free numerical derivatives and Jacobians.

Eigen allows for efficient and reliable computation of complex mathematical operations through its optimized linear algebra library.

Matrix and Vector operations:
Eigen provides efficient operations for vectors and matrices such as multiplication, addition, subtraction, and scalar multiplication. It also supports element-wise operations such as element-wise multiplication and division.

Linear System Solves:
Eigen provides efficient algorithms for solving linear systems of equations. It supports direct methods such as LU and Cholesky decomposition, and iterative methods such as Conjugate Gradient and Bi-Conjugate Gradient.

Eigenvalues and Eigenvectors:
Eigen provides efficient algorithms for finding the eigenvalues and eigenvectors of a matrix. It supports a range of methods, including QR and Jacobi.

Eigen provides efficient algorithms for decomposing matrices into simpler parts. It supports QR, LU, and SVD decompositions.

Error-free Numerical Derivatives:
Eigen provides efficient algorithms for computing numerical derivatives. It supports both forward and central difference methods.

Eigen provides efficient algorithms for computing Jacobians. It supports both forward and central difference methods.

Sparse Matrices:
Eigen provides efficient algorithms for handling sparse matrices. It supports operations such as multiplication, addition, and subtraction.

Eigen supports parallelism through OpenMP, which allows taking advantage of multi-core processors.

Data Structures:
Eigen provides efficient data structures such as vectors, matrices, and sparse matrices. It also provides a range of algorithms for manipulating these data structures.

Eigen is optimized for performance, providing efficient algorithms and data structures. It is written in modern C++, making use of features such as templates and expression templates to reduce overhead.
The minimum technical requirements for Eigen software are:

- Operating System: Windows 7 or higher
- Processor: Intel Core 2 Duo or equivalent
- Memory: 4GB RAM
- Hard Drive: 8GB or higher
- Graphics: OpenGL 2.1 compatible
- Internet connection: Broadband connection with at least 256Kbps upload/download speed
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner
Oscar Y.

I recently used Eigen software for a project. The installation process was very straightforward and the software was easy to use. The software boasts a lot of features, but I found many of them to be redundant. The documentation was comprehensive and accurate. I found that the software ran very smoothly and was relatively bug-free. The support team was also very responsive when I needed help. The cost of the software is reasonable, but I think it could be improved with the addition of a few more features. So far, my experience with Eigen has been mostly positive.
Apache Lucene logo
Tha Apache Lucene for Windows package is a search software with the goal to enhance the already existing search capabilities
SSIS+ logo
SQL Server Integration Services (SSIS) is a platform for building enterprise-level data integration and data transformations solutions.
OpenAL SDK logo
The OpenAL SDK is a cross-platform audio library designed for interactive audio applications.
wolfSSL logo
wolfSSL is an embedded SSL/TLS library providing secure communication for IoT, embedded, and web applications.
Microsoft Silverlight Tools for Visual Studio 2010 SP1 logo
Silverlight Tools for Visual Studio 2010 SP1 is a software development kit that enables developers to create rich, interactive web applications using the Silverlight platform.