Generalized Differentiable -Invex Functions and Their Applications in Optimization
Copyright policy )Generalized Differentiable -Invex Functions and Their Applications in Optimization
The concept of -convex function and its generalizations is studied with differentiability assumption. Generalized differentiable -convexity and generalized differentiable -invexity are used to derive the existence of optimal solution of a general optimization problem.
Optimization, Financial economics, Convex Optimization, Economics, Geometry, Convexity, Engineering, Differentiable function, Convex function, Nonlinear programming, FOS: Mathematics, Civil and Structural Engineering, differentiability assumption, Numerical Analysis, Global Optimization, Numerical Optimization Techniques, Mathematical optimization, Topology Optimization in Structural Engineering, Pure mathematics, Iterative Algorithms for Nonlinear Operators and Optimization, Applied mathematics, Regular polygon, optimal solution, Computational Theory and Mathematics, Computer Science, Physical Sciences, Mathematics
Optimization, Financial economics, Convex Optimization, Economics, Geometry, Convexity, Engineering, Differentiable function, Convex function, Nonlinear programming, FOS: Mathematics, Civil and Structural Engineering, differentiability assumption, Numerical Analysis, Global Optimization, Numerical Optimization Techniques, Mathematical optimization, Topology Optimization in Structural Engineering, Pure mathematics, Iterative Algorithms for Nonlinear Operators and Optimization, Applied mathematics, Regular polygon, optimal solution, Computational Theory and Mathematics, Computer Science, Physical Sciences, Mathematics
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