Suppose that you have a number of boxes, each of which can hold total weight 1.0 and items i1, i2, i3, in, which weigh w1, w2, w3, wn, respectively. the object is to pack all the items, using as few boxes as possible, without placing more weight in any box than its capacity. for instance, if the items have weights 0.4, 0.4, 0.6, and 0.6, you can solve the problem with two boxes. this problem is difficult, and no efficient algorithm is known. several strategies give good, but not optimal, packings. write programs to implement efficiently the following approximation strategies. a. scan the items in the order given; place each new item in the most-filled box that can accept it without overflowing. use a priority queue to determine the box that an item goes in. b. sort the items, placing the heaviest item first; then use the strategy in part (a).

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Creating "smart interfaces" in all sectors of industry, government, and the public arena is one of the fastest growing hct areas. these interfaces model, interpret, and analyze such human characteristics as speech, gesture, and vision. the field of biometrics, in which humans authenticate themselves to machines, is an area of considerable interest to hct practitioners. fingerprint scans are one of the most frequently used biometric options, and this article, biometric student identification: practical solutions for accountability & security in schools, makes a case for the implementation of fingerprint scans in schools. critique the article, and answer the following questions: according to the author, what are the main benefits of adopting fingerprint scans in schools for student identification? according to the author, what are the main drawbacks of adopting fingerprint scans in schools for student identification? do you agree with the author's assessment of the pl

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