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1 Functions for optimization of a scalar objective function ¶

• Frontend nonlin_min for scalar non-linear optimization
• Default backend lm_feasible of scalar optimization
• Backend wrapping core Octaves sqp function
• Simulated annealing backend siman of scalar optimization
• Simulated annealing backend samin of scalar optimization
• Unconstrained Newton-like optimization
• A multidirectional search algorithm
• An alternating directions algorithm
• Another Nelder-Mead algorithm
• Direction-set (Powell’s) method
• Unconstrained BFGS algorithm
• Newton-Raphson algorithm
• A conjugate gradient method
• Linesearch, Brent method
• Linesearch, minimize a function along dx
• A differential evolution (stochastic) optimizer
• Repeatedly call bfgsmin