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Optimize a function using SGD, Adam, PSO, or simulated annealing
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Test model robustness with adversarial attacks and defenses
Multi-armed bandit simulation — epsilon-greedy, UCB1, Thompson sampling
Benchmark and compare ix algorithm performance
Embedded Redis-like cache with TTL, LRU, pub/sub, and RESP protocol
Category theory primitives — monad laws verification, free-forgetful adjunction
Chaos theory analysis — Lyapunov exponents, bifurcation, attractors, fractals
| name | ix-optimize |
| description | Optimize a function using SGD, Adam, PSO, or simulated annealing |
| disable-model-invocation | true |
Run optimization using the machin workspace algorithms.
When the user asks to optimize, minimize, maximize, find best parameters, or tune hyperparameters.
sgd or adam — Smooth differentiable functions, gradient-basedpso (Particle Swarm) — Multi-modal or noisy landscapes, no gradient neededannealing (Simulated Annealing) — Discrete or combinatorial problems, escapes local minimacargo run -p ix-skill -- optimize --algo <method> --function <fn> --dim <n> --max-iter <iter>
Built-in test functions: sphere, rosenbrock, rastrigin
use ix_optimize::gradient::{sgd, adam};
use ix_optimize::pso::pso_minimize;
use ix_optimize::annealing::simulated_annealing;
use ix_optimize::traits::ClosureObjective;