Recommendations: small to large scale problems, small to medium noise, no exact gradient, unconstrained
Recommendations: small to large scale problems, exact gradient, expensive gradient evaluations, bound-constrained
Recommendations: small to large scale problems, small to medium noise, no exact gradient, unconstrained
Recommendations: small to large scale problems, no exact gradient, noiseless (only rounding errors)
Recommendations: small to medium scale problems, no exact gradient, integer bound-constrained, small to large noise
Recommendations: small to medium scale problems, no exact gradient, mixed-integer, bound-constrained, small to large noise
Recommendations: small to medium scale problems, no exact gradient, mixed-integer, bound-constrained, large noise
Recommendations: small to large scale problems, no exact Jacobian, unconstrained
Recommendations: small to large scale problems, noisy ℓ1 minimization, unconstrained