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Software for solving the maximum subsequence sum problem Maximum Subsequence Sum Timer is a free Java software for solving the maximum subsequence sum problem, and reports the results of timing tests of implementations of each of them.Upon pressing the "Generate Data..." button, you will be presented with a GUI for providing the parameters for generating data.· Size of the array: The number of elements in the array to be passed to the algorithm(s). This can be any nonnegative integer less than 231 = 2,147,483,648 (note, however, the caution below). In most cases, the Java Virtual Machine will not have a large enough heap to store an array whose size is near the maximum allowable size. If you try to generate a data set that will not fit in the heap, you will generate a java.lang.OutOfMemoryError, and your previous data set will not be replaced. You may be able to generate a somewhat larger data set by first generating a data set of size 0 to cause the program to discard your current data set.· Max absolute value: The upper limit on values generated. This can be any positive integer less than 230 = 1,073,741,824. The lower limit will be the negative of this value. Note that if this value is too large, overflow can cause the different algorithms to produce as many as 3 different results (try, for example, a data set of size 10, a max of 1,000,000,000, and a seed of 7); however, this should not affect the timing. Choosing a value no more than 10,000 should avoid overflow.· Seed (optional): The seed for the random number generator. This can be any integer that is at least -231 and less than 231, or it can be left blank. Choosing a seed is useful if you want to use the same data set on different occasions. If you don't choose a seed, each data set you generate will probably be different. Requirements: · Java

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