Simon Fraser University

Optimization Algorithms

There are several optimization techniques available in PROC NLMIXED. You can choose a particular optimizer with the TECH=name option in the PROC NLMIXED statement. No algorithm for optimizing general ...
JSTOR Daily

Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization

SIAM Journal on Numerical Analysis, Vol. 22, No. 5 (Oct., 1985), pp. 821-850 (30 pages) We consider the problem of minimizing a smooth function of n variables subject to m smooth equality constraints.
Simon Fraser University

Output Data Sets

The OUTEST= (or OUTVAR=) data set is of TYPE=EST and contains the final parameter estimates, the gradient, the Hessian, and boundary and linear constraints. For METHOD=ML, METHOD=GLS, and METHOD=WLS, ...
JSTOR Daily

Some Numerical Results Using a Sparse Matrix Updating Formula in Unconstrained Optimization

This paper presents a numerical comparison between algorithms for unconstrained optimization that take account of sparsity in the second derivative matrix of the objective function. Some of the ...
Sacramento State University

Overlay 1

0 LOCATE THE MAXIMUM IN THE LST PATH. 1 SCAN THE LST PATH. L103, L105, L109, L112, L113, L114: CONVERGENCE ON THE FIRST DERIVATIVE AND ESTIMATED DISPLACEMENT FOR THE OPTIMIZATION RMS FIRST DERIVATIVE ...
Business Wire

Nucleus Research Inventory Optimization Value Matrix Leaders Refresh Supply Chain Management Processes and Streamline Efficiency for Enterprises

BOSTON--(BUSINESS WIRE)--The 2019 Nucleus Research Technology Value Matrix for Inventory Optimization (IO) shows increasing competitive pressure to improve supply chain efficiency and operation as ...