a 2-3 page paper describing Wangari Maathai’s Green Belt Movement. In your response, list four ways in which we can use the forests more sustainably and list three ways in which governments and

individuals can reduce tropical deforestation.

This question is better suited for Weegy Research or Weegy PRO. Weegy is for simple questions, not essays/papers.

Expert answered|vanilla2bean|Points 832|

Expert answered|vanilla2bean|Points 832|

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Asked 8/28/2012 12:26:15 PM

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True or false. If all the coefficients a1, a2, …, an in the objective function P = a1x1 + a2x2 + … + anxn are nonpositive, then the only solution of the problem is x1 = x2 = … = xn and P = 0. **Weegy:** Try here for some help : [ ] (More)

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Asked 8/27/2012 11:25:21 AM

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True or false. If all the coefficients a1, a2, …, an in the objective function P = a1x1 + a2x2 + … + anxn are nonpositive, then the only solution of the problem is x1 = x2 = … = xn and P = 0. **Weegy:** Try here for some help : [ ] **User:** True or false. The pivot column of a simplex tableau identifies the variable whose value is to be decreased in order to increase the value of the objective function (or at least keep it unchanged). **Weegy:** True (More)

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Asked 8/27/2012 11:27:43 AM

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True or false. The pivot column of a simplex tableau identifies the variable whose value is to be decreased in order to increase the value of the objective function (or at least keep it unchanged). Explain **Weegy:** That is True (More)

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Asked 8/27/2012 11:37:56 AM

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Why is it that at any iteration of the simplex procedure, if it is not possible to compute the ratios or the ratios are negative, then one can conclude that the linear programming problem has no solution. **Weegy:** It can be shown that for a linear program in standard form, [ if the objective function has a minimum value on the feasible region then it has this value on (at least) one of the extreme points.[13] This in itself reduces the problem to a finite computation since there are finite number of extreme points, but the number of extreme points is unmanageably large for all but the smallest linear programs.[14]
It can also be shown that if an extreme point is not a minimum point of the objective function then there is an edge containing the point so that the objective function is strictly decreasing on the edge moving away from the point.[15] If the edge is finite then the edge connects to another extreme point where the objective function has a smaller value, otherwise the objective function is unbounded below on the edge and the linear program has no solution. The simplex algorithm applies this insight by walking along edges of the polytope to extreme points with lower and lower objective values. This continues until the minimum value is reached or an unbounded edge is visited, concluding that the problem has no solution. The algorithm always terminates because the number of vertices in the polytope is finite; moreover since we jump between vertices always in the same direction (that of the objective function), we hope that the number of vertices visited will be small. ] (More)

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Asked 8/27/2012 12:06:58 PM

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True or false. At any iteration of the simplex procedure, if it is not possible to compute the ratios or the ratios are negative, then one can conclude that the linear programming problem has no solution. Explain **Weegy:** True (More)

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Asked 8/27/2012 12:08:40 PM

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