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Approach to development of algorithms of Newtonian methods of unconstrained optimization, their software implementation and benchmarking
The approach to increase efficiency of Gill and Murray's algorithm of Newtonian methods of unconstrained optimization with step adjustment creation is offered, rests on Cholesky’s factorization. It is proved that the strategy of choice of the descent direction also determines the solution of the problem of scaling of steps at descent, and approximation by non-quadratic functions, and integration with a method of a confidential vicinity.
- Direct multiplicative methods for sparse matrices. Newton methods. // Computer Research and Modeling. — 2017. — V. 9, no. 5. — P. 679. DOI: 10.20537/2076-7633-2017-9-5-679-703 .
- The correction to Newton’s methods of optimization. // Computer Research and Modeling. — 2015. — V. 7, no. 4. — P. 835. DOI: 10.20537/2076-7633-2015-7-4-835-863 .
- Correlation and realization of quasi-Newton methods of absolute optimization. // Computer Research and Modeling. — 2016. — V. 8, no. 1. — P. 55. DOI: 10.20537/2076-7633-2016-8-1-55-78 , .
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