The Algorithmic Process


The Algorithmic Process
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The Algorithmic Process


The Algorithmic Process
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Author : Gregory F. Wetzel
language : en
Publisher:
Release Date : 1985

The Algorithmic Process written by Gregory F. Wetzel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Algorithms categories.




The Algorithmic Process


The Algorithmic Process
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Author : Gregory F. Wetzel
language : en
Publisher:
Release Date : 1985-01-01

The Algorithmic Process written by Gregory F. Wetzel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-01-01 with Computers categories.




The Fundamentals Of Algorithmic Processes


The Fundamentals Of Algorithmic Processes
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Author : Sourabh Pal
language : en
Publisher: Arcler Press
Release Date : 2022-12

The Fundamentals Of Algorithmic Processes written by Sourabh Pal and has been published by Arcler Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12 with categories.


This book focuses on the creative elements of algorithmic design by delving into the phases involved in algorithm creation. The conceptual underpinnings of this creative process are analogous to the invention and development of mathematical theorems that result in the induction of combinatorial algorithms. Numerous issue examples are included in the book. It is intended to enhance readers' problem-solving abilities by imparting a grasp of the fundamental ideas behind algorithmic design. This book summarizes the most widely used computer algorithms and provides a comprehensive overview of algorithms and data structures for searching, sorting, and graph processing. The algorithms presented in this book represent a body of knowledge that has developed over the previous five decades and has become critical not just for professional programmers and computer scientists, but also for all students interested in mathematics, data science, and engineering. The reader of this book is meant to get knowledge about known ways for successfully resolving difficulties. They will become acquainted with various cutting-edge data structures and novel methods for utilizing data structures to improve the efficacy of algorithms. Because the book is virtually self-contained, it may be used as a course book, reference book, or self-study resource.



An Introduction To Computer Science And Algorithmic Processes


An Introduction To Computer Science And Algorithmic Processes
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Author : Terry M. Walker
language : en
Publisher:
Release Date : 1970

An Introduction To Computer Science And Algorithmic Processes written by Terry M. Walker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Algorithms categories.




Computer Algorithms


Computer Algorithms
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Author : Sara Baase
language : en
Publisher: Pearson
Release Date : 2000

Computer Algorithms written by Sara Baase and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.


Written with the undergraduate particularly in mind, this third edition features new material on: algorithims for Java, recursion, how to prove algorithms are correct, recurrence equations, computing with DNA, and dynamic sets.



A Parallel Algorithm Synthesis Procedure For High Performance Computer Architectures


A Parallel Algorithm Synthesis Procedure For High Performance Computer Architectures
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Author : Ian N. Dunn
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-14

A Parallel Algorithm Synthesis Procedure For High Performance Computer Architectures written by Ian N. Dunn and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-14 with Computers categories.


Despite five decades of research, parallel computing remains an exotic, frontier technology on the fringes of mainstream computing. Its much-heralded triumph over sequential computing has yet to materialize. This is in spite of the fact that the processing needs of many signal processing applications continue to eclipse the capabilities of sequential computing. The culprit is largely the software development environment. Fundamental shortcomings in the development environment of many parallel computer architectures thwart the adoption of parallel computing. Foremost, parallel computing has no unifying model to accurately predict the execution time of algorithms on parallel architectures. Cost and scarce programming resources prohibit deploying multiple algorithms and partitioning strategies in an attempt to find the fastest solution. As a consequence, algorithm design is largely an intuitive art form dominated by practitioners who specialize in a particular computer architecture. This, coupled with the fact that parallel computer architectures rarely last more than a couple of years, makes for a complex and challenging design environment. To navigate this environment, algorithm designers need a road map, a detailed procedure they can use to efficiently develop high performance, portable parallel algorithms. The focus of this book is to draw such a road map. The Parallel Algorithm Synthesis Procedure can be used to design reusable building blocks of adaptable, scalable software modules from which high performance signal processing applications can be constructed. The hallmark of the procedure is a semi-systematic process for introducing parameters to control the partitioning and scheduling of computation and communication. This facilitates the tailoring of software modules to exploit different configurations of multiple processors, multiple floating-point units, and hierarchical memories. To showcase the efficacy of this procedure, the book presents three case studies requiring various degrees of optimization for parallel execution.



Computer Based Problem Solving Process


Computer Based Problem Solving Process
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Author : Teodor Rus
language : en
Publisher: World Scientific
Release Date : 2015-03-19

Computer Based Problem Solving Process written by Teodor Rus and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-19 with Computers categories.


The author looks at the issues of how computing are used and taught, with a focus on embedding computers within problem solving process by making computer language part of natural language of the domain instead of embedding problem domain in the computer by programming. The book builds on previous editions of system software and software systems, concepts and methodology and develops a framework for software creation that supports domain-oriented problem solving process adapting Polya's four steps methodology for mathematical problem solving: Formalize the problem;Develop an algorithm to solve the problem;Perform the algorithm on the data characterizing the problem;Validate the solution. to the computer use for problem solving in any domain, including computer programming. Contents:Systems Methodology:Introduction to System SoftwareFormal SystemsAd Hoc SystemsCommon Systems in Software DevelopmentComputer Architecture and Functionality:Hardware SystemFunctional Behavior of Hardware ComponentsAlgorithmic Expression of a Hardware SystemUsing Computers to Solve ProblemsSoftware Tools Supporting Program Execution:Computer Process Manipulation by ProgramsMemory Management SystemI/O Device Management SystemComputation Activity and Its Management ToolsSoftware Tools Supporting Program Development:Problem Solving by Software ToolsWeb-Based Problem Solving ProcessSoftware Tool Development IllustrationSoftware Tools for Correct Program DevelopmentComputer Operation by Problem Solving Process:Using First Computers to Solve ProblemsBatch Operating SystemProblem of ProtectionTiming Program ExecutionEfficiency of Batch Operating SystemsConvenience of the BOSReal-Time Systems Readership: Student, general public and professional. Key Features:This is one of the few books in the market that promote programming as a problem solving process following Polya for mathematical problem solvingThis book consolidates the concepts of system methodology, computer architecture, system tools program execution into workflow of the four steps Polya problem solving processThis book insists to hold the hands of readers to walk through the internal working of a computer system from problem deposition to hardware state transitions, a view that has been lost in most computer science curricula currently taught in universities and collegesKeywords:Software Engineering;Programming Methodology;Computer Engineering



Decision Procedures


Decision Procedures
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Author : Daniel Kroening
language : en
Publisher: Springer
Release Date : 2016-11-22

Decision Procedures written by Daniel Kroening and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-22 with Computers categories.


A decision procedure is an algorithm that, given a decision problem, terminates with a correct yes/no answer. Here, the authors focus on theories that are expressive enough to model real problems, but are still decidable. Specifically, the book concentrates on decision procedures for first-order theories that are commonly used in automated verification and reasoning, theorem-proving, compiler optimization and operations research. The techniques described in the book draw from fields such as graph theory and logic, and are routinely used in industry. The authors introduce the basic terminology of satisfiability modulo theories and then, in separate chapters, study decision procedures for each of the following theories: propositional logic; equalities and uninterpreted functions; linear arithmetic; bit vectors; arrays; pointer logic; and quantified formulas.



Simulation Based Algorithms For Markov Decision Processes


Simulation Based Algorithms For Markov Decision Processes
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Author : Hyeong Soo Chang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-02-26

Simulation Based Algorithms For Markov Decision Processes written by Hyeong Soo Chang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-26 with Technology & Engineering categories.


Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the system of interest is too complex to allow explicit specification of some of the MDP model parameters, but simulation samples are readily available (e.g., for random transitions and costs). For these settings, various sampling and population-based algorithms have been developed to overcome the difficulties of computing an optimal solution in terms of a policy and/or value function. Specific approaches include adaptive sampling, evolutionary policy iteration, evolutionary random policy search, and model reference adaptive search. This substantially enlarged new edition reflects the latest developments in novel algorithms and their underpinning theories, and presents an updated account of the topics that have emerged since the publication of the first edition. Includes: innovative material on MDPs, both in constrained settings and with uncertain transition properties; game-theoretic method for solving MDPs; theories for developing roll-out based algorithms; and details of approximation stochastic annealing, a population-based on-line simulation-based algorithm. The self-contained approach of this book will appeal not only to researchers in MDPs, stochastic modeling, and control, and simulation but will be a valuable source of tuition and reference for students of control and operations research.



The Algorithmic Society


The Algorithmic Society
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Author : Marc Schuilenburg
language : en
Publisher: Routledge
Release Date : 2020-12-29

The Algorithmic Society written by Marc Schuilenburg and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Political Science categories.


We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields – Public Administration, Criminal Justice and Urban Governance – into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms. Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate resources, and calculate recidivism rates. Mind-boggling amounts of data regarding our daily actions are analysed to make decisions that manage, control, and nudge our behaviour in everyday life. The contributions in this book offer a broad analysis of the mechanisms and social implications of algorithmic governance. Reporting from the cutting edge of scientific research, the result is illuminating and useful for understanding the relations between algorithms and power.Topics covered include: Algorithmic governmentality Transparency and accountability Fairness in criminal justice and predictive policing Principles of good digital administration Artificial Intelligence (AI) in the smart city This book is essential reading for students and scholars of Sociology, Criminology, Public Administration, Political Sciences, and Cultural Theory interested in the integration of algorithms into the governance of society.