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What has the author Aleksandr Moiseevich Rubinov written?
Aleksandr Moiseevich Rubinov has written: 'Abstract convexity and global optimization' -- subject(s): Convex programming, Mathematical optimization 'Lagrange-type functions in constrained non-convex optimization' -- subject(s): Lagrangian functions, Nonconvex programming
What has the author I I Eremin written?
I. I. Eremin has written: 'Theory of linear optimization' -- subject(s): Convex programming, Linear programming
What is point method ME?
Point method refers a class of algorithms aimed at solving linear and nonlinear convex optimization problems
Is Feasible region is necessary to be a convex set?
Yes, in optimization problems, the feasible region must be a convex set to ensure that the objective function has a unique optimal solution. This is because convex sets have certain properties that guarantee the existence of a single optimum within the feasible region.
What has the author Andrew Kurdila written?
Andrew Kurdila has written: 'Robust optimization-directed design' -- subject(s): Mathematical optimization, Programming (Mathematics), System theory 'Convex Functional Analysis (Systems & Control)'
Why is concave and convex important?
Concave and convex shapes play important roles in various fields such as optics, mathematics, and design. In optics, concave and convex lenses are used to converge or diverge light, which is crucial in forming images. In mathematics, understanding concave and convex functions aids in optimization and determining the behavior of functions. In design, elements with concave and convex surfaces can enhance aesthetics and functionality in products and architecture.
What is a convex hexagon?
a polygon with 6 sides * * * * * The fact that is has six sides makes it a hexagon but that does not explain ""convex". A convex polygon is one in which none of the angles is a reflex angle. An alternative definition of convex is that a line joining any two points inside the hexagon is wholly inside the shape.
How you Explain heuristics-based optimization in a distributed database system?
In Heuristic-based Optimization, the query execution is refined based on heuristic rules for reordering the individual operations.
What has the author Daniel Kuhn written?
Daniel Kuhn has written: 'Generalized bounds for convex multistage stochastic programs' -- subject(s): Mathematical optimization, Stochastic approximation
What has the author Dan Butnariu written?
Dan Butnariu has written: 'Optimization theory and related topics' -- subject(s): Differential equations, Numerical analysis, Difference and functional equations, Ordinary differential equations, Systems theory; control, Calculus of variations and optimal control; optimization, Operations research, mathematical programming, Game theory, economics, social and behavioral sciences, Congresses, Functional analysis, Convex and discrete geometry, Mathematical optimization, Operator theory 'On a proximal point method for optimization in Banach spaces' -- subject(s): Banach spaces, Bochner Integrals, Mathematics 'Totally convex functions for fixed points computation and infinite dimensional optimization' -- subject(s): Convex functions, Fixed point theory, Mathematical optimization 'On a class of bargaining schemes for points in the core of a cooperative n-person gaem' 'Triangular norm-based measures and games with fuzzy coalitions' -- subject(s): Fuzzy sets, Game theory
Can you explain what convex function is?
The term convex function is used in mathematics. It is used to define an interval where the line segment between two points is above the graph, this can both be downward or upward.
What is the significance of a convex picture in the field of mathematics?
In mathematics, a convex picture is significant because it represents a shape where any line segment connecting two points within the shape lies entirely within the shape. This property has important applications in optimization, geometry, and other areas of mathematics.
