SLSQP-RSSL Wasm Demo
Sequential Least Squares Programming optimization solver in WebAssembly
Visit slsqp-wasm.shuo23333.app ↗What is SLSQP-RSSL Wasm Demo?
SLSQP-RSSL is an interactive web-based demonstration of a Sequential Least Squares Programming optimizer compiled to WebAssembly. It allows users to define custom optimization problems with objective functions, variables with bounds, and both equality and inequality constraints. The interface includes preset test cases from the Hessian and Steihaug collection, real-time visualization of optimization progress, and detailed iteration tracking.
The tool is designed for developers and researchers exploring constrained nonlinear optimization. Users can input JavaScript expressions for objective functions and constraints, configure solver parameters like maximum iterations and accuracy thresholds, and observe the optimization process step-by-step. The maker reports building it by rewriting the SLSQP solver in Rust with AI coding assistance.
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How do we know it's vibe coded?
vibetrend discovered SLSQP-RSSL Wasm Demo automatically. Evidence: HN post: "I rewrited slsqp solver in rust with help of vibe coding". View source.
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