Abstract
Shortcomings of the conventional problem format in nonlinear programming suggest the need for a broader model that features composite terms. Such a model, promoting better representation of the problem structures found in applications, can be adopted with no real sacrifice in computing practicality.
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References
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Rockafellar, R.T. (2000). Extended Nonlinear Programming. In: Pillo, G.D., Giannessi, F. (eds) Nonlinear Optimization and Related Topics. Applied Optimization, vol 36. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3226-9_20
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DOI: https://doi.org/10.1007/978-1-4757-3226-9_20
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