This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many
Full Download Computational Probability: Algorithms and Applications in the Mathematical Sciences - Lawrence M. Leemis | PDF
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An algorithm is like a recipe, with a discrete beginning and end and a prescribed sequence of steps leading unambiguously to some desired result. But coming up with the right answer at the end of a program is only the minimum requirement.
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Also, our probabilistic algorithm is guaranteed to be correct with a probability p ≥ (1− 1 nc ) (for a constant c chosen as a design parameter).
Math/stat 394: (3) probability; cse 421: (3) introduction to algorithms; cse 431: (3) introduction to theory of computation.
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