Laws of large numbers for the annealing algorithm
نویسندگان
چکیده
منابع مشابه
Laws of Large Numbers for Random Linear
The computational solution of large scale linear programming problems contains various difficulties. One of the difficulties is to ensure numerical stability. There is another difficulty of a different nature, namely the original data, contains errors as well. In this paper, we show that the effect of the random errors in the original data has a diminishing tendency for the optimal value as the...
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In this paper, we extend and generalize some recent results on the strong laws of large numbers (SLLN) for pairwise independent random variables [3]. No assumption is made concerning the existence of independence among the random variables (henceforth r.v.’s). Also Chandra’s result on Cesàro uniformly integrable r.v.’s is extended.
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in this paper, we extend and generalize some recent results on the strong laws of large numbers (slln) for pairwise independent random variables [3]. no assumption is made concerning the existence of independence among the random variables (henceforth r.v.’s). also chandra’s result on cesàro uniformly integrable r.v.’s is extended.
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Probability Theory includes various theorems known as Laws of Large Numbers; for instance, see [Fel68, Hea71, Ros89]. Usually two major categories are distinguished: Weak Laws versus Strong Laws. Within these categories there are numerous subtle variants of differing generality. Also the Central Limit Theorems are often brought up in this context. Many introductory probability texts treat this ...
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برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.
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ژورنال
عنوان ژورنال: Stochastic Processes and their Applications
سال: 1990
ISSN: 0304-4149
DOI: 10.1016/0304-4149(90)90009-h