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Efficient robust digital hyperplane fitting with bounded
Efficient robust digital hyperplane fitting with bounded

Optimization_2016_JS
Optimization_2016_JS

Congruent number theta coefficients to 10^12
Congruent number theta coefficients to 10^12

Modified and Ensemble Intelligent Water Drop
Modified and Ensemble Intelligent Water Drop

... thanks go to my wife for her patience, understanding, fervent prayers and for taking care of our kids. Your great support, efforts, and endurance is highly appreciated. My sincere appreciations are extended to the Islamic Development Bank (IDB) for its financial support under the IDB merit scholarsh ...
Integrating High-Performance Polynomial Arithmetic into Maple
Integrating High-Performance Polynomial Arithmetic into Maple

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Learning Algorithms for Separable Approximations of

... “CAVE” algorithm. The CAVE algorithm provided exceptionally good experimental performance, but offered no provable results. Wallace (1987) introduces a piecewise linear upper bound for networks, a result that is generalized in Birge & Wallace (1988) for stochastic programs. In this paper, we introdu ...
prime numbers and encryption
prime numbers and encryption

The Wolf Colony Algorithm and Its Application
The Wolf Colony Algorithm and Its Application

On the Computation of Confluent Hypergeometric Functions for
On the Computation of Confluent Hypergeometric Functions for

... precision floating-point arithmetic in terms of accuracy and computation time3 . Note that just a few packages in double precision allow the evaluation of the confluent hypergeometric function with complex argument. For this study we use Algorithm 707: CONHYP, described in [6, 7] and Zhang and Jin i ...
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Hybrid Computing Algorithm in Representing Solid Model

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The Robustness-Performance Tradeoff in Markov Decision Processes

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PseudoCode - WordPress.com

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When is a number Fibonacci? - Department of Computer Science

... Fibonacci number? Here the naive approach would be to calculate the series of Fibonacci numbers until we reach or exceed the value 19523. Again this approach would be rather inefficient, and take longer and longer the larger the value being tested gets. In the next section we shall look at a more e ...
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Nonnegative Matrix Factorization with Sparseness Constraints

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Introducing Quantified Cuts in Logic with Equality

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Computing intersections in a set of line segments: the Bentley

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The Complexity of Local Stratification - SUrface

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Quiz 2, 02 Mar 2015, with solutions

Introduction of Fuzzy Inference Systems
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Streaming algorithms for embedding and computing edit distance in
Streaming algorithms for embedding and computing edit distance in

... Whenever there is a mismatch remove at random either the closing parenthesis or the opening one. This algorithm can be applied also to approximately compute the edit distance of strings by pushing a reverse of one of the strings on the stack and matching the other string against the stack. Whenever ...
PPT - CS
PPT - CS

... – There is always at least one process that can advance: • If a process is ahead of all others it can advance • If no process is ahead of all others, then there is more than one process at the top stage, and one of them can advance. ...
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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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