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The optimization technique of mathematical programming is used to treat a class of problems to determine a resource allocation to a set of independent alternatives. Maximization of the return is the desired result. The allocation ...
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The optimization technique of mathematical programming is used to treat a class of problems to determine a resource allocation to a set of independent alternatives. Maximization of the return is the desired result. The allocation problem is treated first as an integer problem, then as a continuous one. (Author)
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Free trade agreements (FTA) involve trade liberalization between the United States and selected countries or regions and are also expected to provide economic and other benefits. GAO was asked to review how potential FTA partners ...
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Free trade agreements (FTA) involve trade liberalization between the United States and selected countries or regions and are also expected to provide economic and other benefits. GAO was asked to review how potential FTA partners are selected, in view of the increased number of FTAs and their growing importance to U.S. policy. Specifically, GAO (1) provided information about the factors influencing the selection of FTA partners, (2) analyzed the interagency process for selecting FTA partners, and (3) assessed how the executive branch makes decisions about the availability and allocation of resources to FTAs.
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A player is offered a finite set of numbers, one after another, each drawn at random from a known distribution. The player may choose a number when offered (not knowing the future choices) and thereby stop the game, whose value be...
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A player is offered a finite set of numbers, one after another, each drawn at random from a known distribution. The player may choose a number when offered (not knowing the future choices) and thereby stop the game, whose value becomes the magnitude of the chosen number. The strategy by which the player decides how to choose a number to maximize the value of the game, is presented, and the game is generalized to the case in which it continues until the player has made n choices (the value of the game then being the sum of the n numbers chosen). (Author)
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There are N stages to sequentially construct I successful components. At each stage, one allocates a certain amount of money for the construction of a component. If y is the amount allocated, then the component constructed will be...
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There are N stages to sequentially construct I successful components. At each stage, one allocates a certain amount of money for the construction of a component. If y is the amount allocated, then the component constructed will be a success with probability P(y), where P is a continuous nondecreasing function satisfying P(0) = 0. After each component is constructed, one is informed as to whether or not it is successful. If, at the end of the N stages, there are i components short, then a final penalty cost C(i) is incurred. The problem is to, at each stage, determine how much money to allocate so as to minimize the total expected cost (construction cost plus penalty cost) incurred.
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We have delayed this report from its normal distribution schedule for two reasons. First, due to the coverage provided in the White Paper on Institutional Capability Computing Requirements distributed in August 2005, we felt a sep...
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We have delayed this report from its normal distribution schedule for two reasons. First, due to the coverage provided in the White Paper on Institutional Capability Computing Requirements distributed in August 2005, we felt a separate 2005 ICEG report would not be value added. Second, we wished to provide some specific information about the Peloton procurement and we have just now reached a point in the process where we can make some definitive statements. The Peloton procurement will result in an almost complete replacement of current M&IC systems. We have plans to retire MCR, iLX, and GPS. We will replace them with new parallel and serial capacity systems based on the same node architecture in the new Peloton capability system named ATLAS. We are currently adding the first users to the Green Data Oasis, a large file system on the open network that will provide the institution with external collaboration data sharing. Only Thunder will remain from the current M&IC system list and it will be converted from Capability to Capacity. We are confident that we are entering a challenging yet rewarding new phase for the M&IC program.
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These guidelines were formally adopted by the California Energy Commission onJanuary 21, 1998, and subsequently revised on February 18, 1998, October 11, 2000, and May 16, 2001, pursuant to Senate Bill 90 (Ch. 905, Stats. 97). Thi...
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These guidelines were formally adopted by the California Energy Commission onJanuary 21, 1998, and subsequently revised on February 18, 1998, October 11, 2000, and May 16, 2001, pursuant to Senate Bill 90 (Ch. 905, Stats. 97). This Guidebook contains general information on how to qualify and apply for funding from the New Renewable Resources Account of the Renewable Resource Trust Fund. For more detailed information on this and other accounts funded through the Renewable Resource Trust Fund, please see the Energy Commission's Policy Report on AB 1890 Renewables Funding.
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These guidelines were formally adopted by the California Energy Commission onJanuary 21, 1998, pursuant to Senate Bill 90 (Chp. 905, Stats. 97) and subsequently revised pursuant to this authority on the following dates: February 1...
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These guidelines were formally adopted by the California Energy Commission onJanuary 21, 1998, pursuant to Senate Bill 90 (Chp. 905, Stats. 97) and subsequently revised pursuant to this authority on the following dates: February 18, 1998; January 22, 1999; September 8, 1999; October 6, 1999; March 7, 2001; May 16, 2001. This guidebook contains general instructions for purchasers, lessees, lessors, or sellers of emerging renewable technologies in distributed generation applications on how to qualify and receive funding from the Emerging Renewable Resources Account of the Renewable Resource Trust Fund.
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This paper describes an automated decision support system designed to facilitate the management of a continuously changing portfolio of technologies as new technologies are deployed and older technologies are decommissioned.
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These guidelines were formally adopted by the California Energy Commission onJanuary 21, 1998, and subsequently revised on August 12, 1998, March 15, 2000, and October 11, 2000 pursuant to Senate Bill 90 (Chp. 905, Stats. 97). Thi...
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These guidelines were formally adopted by the California Energy Commission onJanuary 21, 1998, and subsequently revised on August 12, 1998, March 15, 2000, and October 11, 2000 pursuant to Senate Bill 90 (Chp. 905, Stats. 97). This guidebook contains general instructions for existing renewable power suppliers on how to qualify and apply for funding from the Existing Renewable Resources Account of the Renewable Resource Trust Fund. For more detailed information on this and other accounts funded through the Renewable Resource Trust Fund, please see the Energy Commission's Policy Report on AB 1890 Renewables Funding.
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