DROP Function R^d To R¹ Package contains the Suite of Built-in R^d To R¹ Functions.

• AffineBoundMultivariate AffineBoundMultivariate implements a Bounded Planar Linear R^d To R¹ Function.

• AffineMultivariate AffineMultivariate implements a Planar Linear R^d To R¹ Function using a Multivariate Vector.

• BoundMultivariate BoundMultivariate Interface implements R^d To R¹ Bounds.

• ConvexMultivariate ConvexMultivariate is a Shell Interface that "typifies" a Convex R^d To R¹.

• CovarianceEllipsoidMultivariate CovarianceEllipsoidMultivariate implements a R^d To R¹ Co-variance Estimate of the specified Distribution.

• LagrangianMultivariate LagrangianMultivariate implements a R^d To R¹ Multivariate Function along with the specified Set of Equality Constraints.

• ObjectiveConstraintVariateSet ObjectiveConstraintVariateSet holds a R^d To R¹ Variates corresponding to the Objective Function and the Constraint Function respectively.

• RiskObjectiveUtilityMultivariate RiskObjectiveUtilityMultivariate implements the Risk Objective R^d To R¹ Multivariate Function used in Portfolio Allocation. It accommodates both the Risk Tolerance and Risk Aversion Variants.

• Boyd, S., and L. van den Berghe (2009): Convex Optimization Cambridge University Press Cambridge UK

• Eustaquio, R., E. Karas, and A. Ribeiro (2008): Constraint Qualification for Nonlinear Programming Federal University of Parana

• Karush, A. (1939): Minima of Functions of Several Variables with Inequalities as Side Constraints University of Chicago Chicago IL

• Kuhn, H. W., and A. W. Tucker (1951): Nonlinear Programming Proceedings of the Second Berkeley Symposium University of California Berkeley CA 481-492

• Ruszczynski, A. (2006): Nonlinear Optimization Princeton University Press Princeton NJ

• Main => https://lakshmidrip.github.io/DROP/
• Wiki => https://github.com/lakshmiDRIP/DROP/wiki
• GitHub => https://github.com/lakshmiDRIP/DROP
• Repo Layout Taxonomy => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
• Javadoc => https://lakshmidrip.github.io/DROP/Javadoc/index.html
• Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
• Release Versions => https://lakshmidrip.github.io/DROP/version.html
• Community Credits => https://lakshmidrip.github.io/DROP/credits.html
• Issues Catalog => https://github.com/lakshmiDRIP/DROP/issues