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$ show gbionics/osqp-eigen

[account ↗] [repo ↗] APPLICATION ★ 503 133 ● active (last update 2 months ago)
reviewed by: nvidia/nemotron-3-super-120b-a12b

osqp-eigen is a C++ wrapper library for the OSQP (Operator Splitting Quadratic Program) solver. It provides an intuitive interface for formulating and solving quadratic programming problems using Eigen data types for matrices and vectors. The library handles the conversion between Eigen's sparse matrix format and OSQP's internal CSC format, manages solver initialization and configuration, and supports advanced features like warm-starting and iterative problem updates without full reinitialization. The architecture is modular with separate Data, Settings, and Solver classes, and includes robust version compatibility handling for different OSQP releases.

RATING8.6/10
QUALITY8.0/10
MAINTENANCEactive
DRIFTlow
CONTRIBUTORS23
VELOCITY0.78
OPEN ISSUES20
CLOSED ISSUES99
LAST COMMIT2 months ago
Files by Type (count)
C++
12
Other (.cmake)
8
C++ Header
7
Other (no ext)
6
YAML
4
Other (.bazel)
4
Text
3
Other (.tpp)
3
Markdown
2
Git Ignore
1
Other (.supp)
1
Python
1
Files by Type (size)
Lock File
289KB
Other (no ext)
115KB
C++
68KB
Other (.cmake)
50KB
C++ Header
29KB
Other (.tpp)
27KB
Other (.png)
17KB
YAML
10KB
Markdown
10KB
Text
7KB
Other (.supp)
5KB
TOML
2KB

The LLM identified 1 files worth highlighting for reuse:

Provides conversion utilities between Eigen sparse matrices and OSQP's CSC format. This isolated component handles memory allocation, format conversion, and triplet extraction with proper error checking. It demonstrates non-obvious skill in managing the complexities of sparse matrix representations and memory ownership between Eigen and OSQP, making it safely reusable in other projects requiring similar integration.

file: include/OsqpEigen/SparseMatrixHelper.hpp ↗ | tags: #sparse-matrix-conversion #eigen-osqp-bridge #memory-management
Last analyzed: 2026-08-02 09:05:56.204174
Next check: 2026-08-09 09:05:56.162845
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