Unconstrained Reformulation of Sequential Quadratic Programming and Its Application in Convex Optimization

Author:

Sadhu R.,Nahak C.,Dash S. P.

Publisher

Springer Singapore

Reference18 articles.

1. Yang, X.-S.: Introduction to Algorihtms for Data Mining and Machine Learning. Elsevier Inc.(2019)

2. Wilson, R.B.: A simplicial algorithm for concave programming. Ph.D. Dissertation, Harvard University, Acta numerica (1963)

3. Chakraborty, S., Panda, G.: Two-phase-SQP method with higher-order convergence property. J. Oper. Res. Soc. China 4(3), 385–396 (2016)

4. Boggs, P.T., Tolle, J.W.: Sequential quadratic programming. Acta Numer. 4, 1–51 (1995)

5. Gould, N., Orban, D., Toint, P.: Numerical methods for large-scale nonlinear optimization. Acta Numer. 14, 299–361 (2005)

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