### Some articles on *optimal*:

Casino Hold 'em - Strategy

... There is no easy way to quantify

... There is no easy way to quantify

**optimal**strategy for this game since the**optimal**decision for each hand is based on the combination of all 7 cards (two personal cards and five board cards) dealt ... The**optimal**strategy player will raise 82% of the time ...Suresh P. Sethi - Selected Contributions - DNSS Points

... DNSS points arise in

... DNSS points arise in

**optimal**control problems that exhibit multiple**optimal**solutions ... A DNSS point is an indifference point in an**optimal**control problem such that starting from such a point, the problem has more than one different**optimal**solutions ...Suresh P. Sethi - Selected Contributions - Hierarchical Manufacturing Systems

... However, obtaining

... However, obtaining

**optimal**feedback policies to run these systems is usually impossible ... the average existing production capacity and can be expected to be nearly**optimal**even though the shorter term capacity fluctuations are ignored ... constructed in this manner are shown to be asymptotically**optimal**as the average time between successive short-term events becomes much smaller than that between successive long-term events ...Suresh P. Sethi - Selected Contributions -

... Sethi is the key figure in the development and use of

**Optimal**Control Formulations and Solutions of A Variety of Dynamic Operations Management and Economi... Sethi is the key figure in the development and use of

**optimal**control theory to address dynamic and stochastic problems in management science ... Sethi wrote his 1972 doctoral thesis on**optimal**control and its applications ... work eventually led to the classic 1981 Sethi-Thompson book that brought the theory of**optimal**control to management schools ...Charging Argument

... argument is used to compare the output of an optimization algorithm to an

... argument is used to compare the output of an optimization algorithm to an

**optimal**solution ... It is typically used to show that an algorithm produces**optimal**results by proving the existence of a particular injective function ... problems, the function can be any one-to-one mapping from elements of an**optimal**solution to elements of the algorithm's output ...### Famous quotes containing the word optimal:

“In the most desirable conditions, the child learns to manage anxiety by being exposed to just the right amounts of it, not much more and not much less. This *optimal* amount of anxiety varies with the child’s age and temperament. It may also vary with cultural values.... There is no mathematical formula for calculating exact amounts of *optimal* anxiety. This is why child rearing is an art and not a science.”

—Alicia F. Lieberman (20th century)

“It is the child in man that is the source of his uniqueness and creativeness, and the playground is the *optimal* milieu for the unfolding of his capacities and talents.”

—Eric Hoffer (1902–1983)

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