scs ☆

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Description:
Conic optimization via operator splitting

Type: Formula | Tracked Since: Dec 28, 2025

Links: Homepage | formulae.brew.sh

Category: Developer tools

Tags: optimization mathematics convex solver c-library

Install: brew install scs

About:
SCS (Splitting Conic Solver) is a numerical optimization package for solving large-scale convex cone problems. It employs an operator splitting method combining proximal methods on the cone and first-order methods on the linear constraints. This approach makes it highly effective for solving Linear Programming, Second-Order Cone Programming, and Semidefinite Programming problems.

Key Features:

Specialized for large-scale convex cone problems
Implements an operator splitting algorithm
Supports LP, SOCP, and SDP problem classes
Provides C, Python, and Julia interfaces

Use Cases:

Solving large-scale convex optimization problems
Embedded solvers for machine learning and control systems
Portfolio optimization and financial modeling

Alternatives:

CVXPY – SCS is a specific solver backend, whereas CVXPY is a domain-specific language for convex optimization that can use SCS as a solver.
ECOS – ECOS is another first-order solver specialized for embedded convex optimization, often compared with SCS for performance on specific problem types.

Version History

Detected	Version	Rev	Change	Commit
Sep 15, 2025 9:34pm		0	VERSION_BUMP	f1d702ee
Sep 14, 2024 5:14pm		0	VERSION_BUMP	5d5bfe3d