1. The document presents mathematical formulas and analysis involving probability distributions with parameters μ and ν.
2. Constraints on μ and ν are derived such that μ is less than 1/2 but greater than 1/3, while ν can be either less than or greater than 1/2.
3. The analysis examines optimal probability distributions for strategies in a game theoretical setting involving players with outcomes ma, mb, and parameters μ and ν.
1. The document discusses two organizations: the India-UN organization and the India-UN Society.
2. It provides details on their goals and activities, which include promoting cooperation between India and the UN, and education on global issues.
3. It also mentions the roles of the India-UN Society in collaborating with the India-UN organization and universities.
The document discusses a set function v defined on subsets of a ground set N. It defines v on certain singleton and multiple element subsets. It then calculates the Shapley value φ1(v) which equals 1, indicating the marginal contribution of element 1 to any set it joins. It also shows the order of inclusion of elements into sets.
The document discusses set functions and their properties. It defines a set function v and provides examples of assigning values to v for different subsets of a set N. For each subset S of N, v(S) is either 1 or 0 depending on the conditions defined. Several examples are provided calculating v for different subsets.
1. The document presents a probability model involving random variables p, q, and r.
2. It defines functions s(r) and E(r) and analyzes their properties for different ranges of r.
3. The optimal values of r that maximize E(r) are determined to be 1/2 and between 1/2 and 11/18.
This document discusses optimization of a function over a region. It defines a region U and a point d within U. It finds the maximum value of the function (u1-d1)(u2-d2) over all points u in U that are greater than or equal to d. It shows that the maximum occurs at a point where u1 = u2 and finds the maximum value is 33/5 when u1 = u2 = (12/5)2/3.
1) The document discusses maximizing a function f(uA) of a single variable uA on a bounded domain U.
2) It is found that f(uA) is maximized when uA = (2/5)2/3, giving a maximum value of 3/5.
3) The point (uA, uB) = ((2/5)2/3, 3/5) is therefore the optimal solution.
1. The document presents mathematical formulas and analysis involving probability distributions with parameters μ and ν.
2. Constraints on μ and ν are derived such that μ is less than 1/2 but greater than 1/3, while ν can be either less than or greater than 1/2.
3. The analysis examines optimal probability distributions for strategies in a game theoretical setting involving players with outcomes ma, mb, and parameters μ and ν.
1. The document discusses two organizations: the India-UN organization and the India-UN Society.
2. It provides details on their goals and activities, which include promoting cooperation between India and the UN, and education on global issues.
3. It also mentions the roles of the India-UN Society in collaborating with the India-UN organization and universities.
The document discusses a set function v defined on subsets of a ground set N. It defines v on certain singleton and multiple element subsets. It then calculates the Shapley value φ1(v) which equals 1, indicating the marginal contribution of element 1 to any set it joins. It also shows the order of inclusion of elements into sets.
The document discusses set functions and their properties. It defines a set function v and provides examples of assigning values to v for different subsets of a set N. For each subset S of N, v(S) is either 1 or 0 depending on the conditions defined. Several examples are provided calculating v for different subsets.
1. The document presents a probability model involving random variables p, q, and r.
2. It defines functions s(r) and E(r) and analyzes their properties for different ranges of r.
3. The optimal values of r that maximize E(r) are determined to be 1/2 and between 1/2 and 11/18.
This document discusses optimization of a function over a region. It defines a region U and a point d within U. It finds the maximum value of the function (u1-d1)(u2-d2) over all points u in U that are greater than or equal to d. It shows that the maximum occurs at a point where u1 = u2 and finds the maximum value is 33/5 when u1 = u2 = (12/5)2/3.
1) The document discusses maximizing a function f(uA) of a single variable uA on a bounded domain U.
2) It is found that f(uA) is maximized when uA = (2/5)2/3, giving a maximum value of 3/5.
3) The point (uA, uB) = ((2/5)2/3, 3/5) is therefore the optimal solution.
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