SNOPT
SNOPT: A focused sparse-SQP solver for smooth, large-scale optimization across major desktop platforms. Ranked #64 of 69 in Simulation Software by our editors (3.0/10); pricing: Pricing on request; best for optimization specialists solving smooth nonlinear problems.
At a glance
- Editor score3.0 / 10
- PricingPricing on request
- Best forOptimization specialists solving smooth nonlinear problems
- Free planNo
- Cloud deploymentNo
- Facts checked25 Sep 2026
Where it wins
- Handles large-scale linear and nonlinear optimization with sparse SQP
- Supports smooth, nonconvex problems and expensive function evaluations
- Provides Fortran, C/C++, MATLAB/MEX, and AMPL connectivity
Where it doesn't
- Commercial licensing requires contacting sales
- Self-hosted deployment only, with no cloud deployment
- Focused on optimization rather than broad simulation methods
Our verdict on SNOPT
SNOPT (Sparse Nonlinear OPTimizer) is a self-hosted software package from UC San Diego and Stanford for solving large-scale linear and nonlinear optimization problems. It is aimed at optimization specialists working with smooth, including nonconvex, problems where function and gradient evaluations may be expensive. Libraries are available for Windows, macOS, and Linux, with Fortran at the core and C and C++ interfaces for application integration.
Pricing is handled through contact with sales, and there is no general free plan. Eligible noncommercial research users can request a restricted trial download, while commercial licensing is handled separately through licensing information. The integration surface is practical for technical teams: SNOPT offers a MATLAB interface with precompiled MEX files, supports AMPL, and exposes user-configurable solver options. These interfaces suit organizations that already organize models and workflows around MATLAB, AMPL, or compiled-language code.
Its main technical depth is the sparse sequential quadratic programming algorithm. SNOPT uses limited-memory quasi-Newton approximations to the Lagrangian Hessian and can handle infeasible problems through elastic bounds on nonlinear constraints. That combination targets large, smooth optimization models rather than general-purpose simulation. Teams needing cloud deployment, discrete-event behavior, system dynamics, agent-based modeling, finite-element analysis, or multiphysics capabilities should choose a broader simulation product. SNOPT fits best when the central requirement is solving structured smooth optimization problems and the organization can manage a self-hosted, commercially licensed solver.
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SNOPT pricing
SNOPT fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Discrete-event models | No |
| System-dynamics models | No |
| Agent-based models | No |
| Finite-element analysis | No |
| Multiphysics simulation | No |
| Cloud deployment | No |
| API access | No |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: MATLAB, AMPL |
| Pricing | Pricing on request |
| Website | ccom.ucsd.edu |
| Facts checked | 25 Sep 2026 |
SNOPT integrations
SNOPT lists 2 integrations on its own site.
- MATLAB
- AMPL
Alternatives to SNOPT
- SimulinkA broad engineering simulation environment for modeling, verification, and code generation.9.4
- COMSOL MultiphysicsA desktop environment for coupled physics models, engineering studies, and custom simulation apps.9.3
- Ansys FluentA broad CFD toolkit for engineering teams that need advanced physics and scalable solving.9.2
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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