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Slides
Slides

(AC) Mining for A Personnel Scheduling Problem
(AC) Mining for A Personnel Scheduling Problem

... (events) to a limited number of training staff, locations, and timeslots • Each course has a numerical priority value • Each trainer is penalised depending on the travel distance ...
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H2

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N - Computer Science@IUPUI

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Some Old Computational Number Theory Comp Problems

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from Terrel Smith`s class, MS-Powerpoint slide set

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A Review of C Programming

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... By elementary measure theory, the theorem is equivalent to the trivial statement that there exist infinitely many numbers for which f (n) < 3.66 log3 n (trivial because this is true for the powers of 3). However, the proof is based on an explicit algorithm for computing a representation of n using o ...
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ALGORITHMS AND FLOWCHARTS

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Foundations of Boundedly Rational Choices and Satisficing

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Numerical Computations in Linear Algebra

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REVISITING THE INVERSE FIELD OF VALUES PROBLEM
REVISITING THE INVERSE FIELD OF VALUES PROBLEM

... of dimensions larger than those where algebraic or analytic methods can provide one, such as n being of the order of hundreds or thousands. Following Uhlig, we shall use the acronym “FOV” for “field of values”. The inverse FOV (iFOV) problem attracted the attention of several authors, e.g., of Carde ...
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CS 262 Tuesday, January 13, 2015 Computational Genomics

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Algorithms, Efficiency and Complexity

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A Comparative Analysis of Association Rules Mining Algorithms
A Comparative Analysis of Association Rules Mining Algorithms

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Algorithm



In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning.An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing ""output"" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.The concept of algorithm has existed for centuries, however a partial formalization of what would become the modern algorithm began with attempts to solve the Entscheidungsproblem (the ""decision problem"") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define ""effective calculability"" or ""effective method""; those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's ""Formulation 1"" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939. Giving a formal definition of algorithms, corresponding to the intuitive notion, remains a challenging problem.
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