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This works constructs a noble BFGS search direction for solving unconstrained optimization problems using a modified rational approximation model (MRAM). The new MRAM consists of an improve Barzilai and Borwein approximation and rational approximation model RAM. Based on the number of iteration and CPU time we show the new method out performs other standard methods. In addition, we show the noble search direction can be useful in estimating data from Covid-19. [ABSTRACT FROM AUTHOR]

The government has a role and responsibility for public goods, in this case, the responsibility for food problems in Indonesia. The food problem is complex, so it is no longer possible for the government to work alone. The government needs to collaborate with stakeholders involved in the food supply. Contributions are expected from outside parties, especially the private sector and non-governmental organizations. The involvement and contributions of various stakeholders show the existence of a network that allows the implementation of food security policies to run effectively and efficiently. The Indonesian Food Management Stakeholder Network uses the strategic model through big data analytic analysis. Thirty-four different studies presented, examining the problems they tackle, proposed solutions, tools, algorithms, and data used, the nature and dimensions of the big data used, the scale of use, and the overall impact. The results of the descriptive analysis are in the form of grouping and visualization of food big data. The results of the significant data analysis process produce a decision map to see the causes of the level of food production in a province. The predictive process produces a regression model to calculate the following year's production and prospective analysis in the form of a profit system designed for national food security policies. [ABSTRACT FROM AUTHOR]