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Paperback or Softback. Condizione: New. Analysis and design of algorithms. A critical comparison of different works on algorithms. Book.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Academic Paper from the year 2019 in the subject Computer Science - Theory, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, a critical context, and an integrative conclusion on the six major text books on Algorithms design and analysis.Algorithms form the heart of Computer Science in general. An algorithm is simply a set of steps to accomplish or complete a task that is described precisely enough that a computer can run it. It is a sequence of unambiguous instructions for solving a problem, and is used for obtaining a required output for any legitimate input in a finite amount of time. Algorithms can be considered as procedural solutions to problems where the focus is on correctness and efficiency.The important problem types are sorting, searching, string processing, graph problems, combinatorial problems, geometric problems, and numerical problems.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Document from the year 2019 in the subject Computer Science - Internet, New Technologies, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, critical context and integrative conclusion on the trends and best practices in Information Technology Management, and reviews and evaluates the key issues, trends and future direction of Modern Information Technology Management. IT is generally accepted as a key enabler of economic and technological growth.Managers implement new technology to change something: the organization, the nature of work, relationships with other organizations, or some other facet of business. Information Technology (IT) plays a vital role in leveraging productivity and efficiency in private organizations, governments and research. The value of IT in any organization depends on its infrastructure, which consists of computers, network and telecommunication technologies, data and core software applications. Information Technology (IT) is now a force and driver of modern technological development and globalization, and makes the management of information more efficient and effective. Technology management entails all management activities that determine the application of policy, objectives and responsibilities as well as their execution in an organization in terms of planning, allocating resources, organizing and ensuring outcomes that improve processes. The major IT Management issues are: Using technology to design efficient and effective organizations; Developing a plan for information technology in the organization; Using IT as a part of corporate strategy; Taking advantage of interorganizational systems; Deciding on and developing new applications of IT; Reengineering business processes; Adopting special applications; Changing the organization; Managing the IT infrastructure in a time of explosive growth and technological change; Deciding whether and what to outsource; and Deciding how much to invest in IT. Knowledge and skills are a necessary and sufficient condition for technological progress.Developing countries lack enough skilled IT persons who can design, program, install, configure and maintain Information Technology in this constantly changing industry. Accordingly, lack of qualified and globally recognized IT professionals is seriously hampering IT adoption and development. Management Information Systems refer to information management methods tied to the automation or support of human decision making, whereas IT Management refers to the IT related management activities in organizations.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Academic Paper from the year 2019 in the subject Computer Science - Software, grade: A, ( Atlantic International University ), language: English, abstract: This essay describes or analyses the content, style and merit of the developments in Advanced Complexity Theory.Complex, self-organising, adaptive systems possess a kind of dynamism that makes them qualitatively different from static objects such as computer chips. Complex systems are more spontaneous, more disorderly, more alive than that. In the past three decades, chaos theory has shaken science to its foundations with the realisation that very simple dynamical systems can give rise to extraordinarily intricate behaviour. The edge of chaos is the constantly shifting battle zone between stagnation and anarchy, the one place where a complex system can be spontaneous, adaptive, and alive.Chaos theory is the qualitative study of unstable, aperiodic behaviour in deterministic, non-linear, dynamical systems. It is a specialised application of dynamical systems theory. Chaotic systems require impossible accuracy for useful prediction tasks. Chaos theory often seeks to understand the behaviour of a complex system by reconstructing its attractor, and knowing this attractor gives us qualitative understanding. Chaos theory includes theoretical hypotheses that assert relationships of qualitative (or topological) similarity between its abstract models and the actual systems it studies.Dynamics is used more as a source of qualitative insight than for making quantitative predictions. Its great value is its adaptability for constructing models of natural systems, which models can then be varied and analysed comparatively easily. Chaos theory is the quantitative study of dynamic non-linear system. Non-linear systems change with time and can demonstrate complex relationships between inputs and outputs due to reiterative feedback loops within the system.These systems are predictable but their behaviour is exquisitely sensitive to their starting point. Chaos is a sub-discipline of complexity. Complexity theory is the qualitative aspect drawing upon insights and metaphors that are derived from chaos theory.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Essay from the year 2019 in the subject Computer Science - Theory, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, critical context and integrative conclusion on the discussion on the meaning, significance and potential applications of theoretical foundations of computer science with respect to Algorithms Design and Analysis, Complexity Theory, Turing Machines, Finite Automata, Cryptography and Machine Learning.An algorithm is any well-defined computational procedure that takes some value or sets of values as input and produces some values or sets of values as output. A Turing machine consists of a finite program, called the finite control, capable of manipulating a linear list of cells, called the tape, using one access pointer, called the head. Cellular automata is an array of finite state machines (inter-related).A universal Turing machine U is a Turing machine that can imitate the behavior of any other Turing machine T. Automata are a particularly simple, but useful, model of computation which were were initially proposed as a simple model for the behavior of neurons. A model of computation is a mathematical abstraction of computers which is used by computer scientists to perform a rigorous study of computation. An automaton with a finite number of states is called a Finite Automaton (FA) or Finite State Machine (FSM).The Church-Turing Thesis states that the Turing machine is equivalent in computational ability to any general mathematical device for computation, including digital computers. The important themes in Theoretical Computer Science (TCS) are efficiency, impossibility results, approximation, central role of randomness, and reductions (NP-completeness and other intractability results).

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Academic Paper from the year 2019 in the subject Computer Science - Theory, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, a critical context, and an integrative conclusion on the six major text books on Algorithms design and analysis.Algorithms form the heart of Computer Science in general. An algorithm is simply a set of steps to accomplish or complete a task that is described precisely enough that a computer can run it. It is a sequence of unambiguous instructions for solving a problem, and is used for obtaining a required output for any legitimate input in a finite amount of time. Algorithms can be considered as procedural solutions to problems where the focus is on correctness and efficiency.The important problem types are sorting, searching, string processing, graph problems, combinatorial problems, geometric problems, and numerical problems. 20 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Essay from the year 2019 in the subject Computer Science - Theory, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, critical context and integrative conclusion on the discussion on the meaning, significance and potential applications of theoretical foundations of computer science with respect to Algorithms Design and Analysis, Complexity Theory, Turing Machines, Finite Automata, Cryptography and Machine Learning.An algorithm is any well-defined computational procedure that takes some value or sets of values as input and produces some values or sets of values as output. A Turing machine consists of a finite program, called the finite control, capable of manipulating a linear list of cells, called the tape, using one access pointer, called the head. Cellular automata is an array of finite state machines (inter-related).A universal Turing machine U is a Turing machine that can imitate the behavior of any other Turing machine T. Automata are a particularly simple, but useful, model of computation which were were initially proposed as a simple model for the behavior of neurons. A model of computation is a mathematical abstraction of computers which is used by computer scientists to perform a rigorous study of computation. An automaton with a finite number of states is called a Finite Automaton (FA) or Finite State Machine (FSM).The Church-Turing Thesis states that the Turing machine is equivalent in computational ability to any general mathematical device for computation, including digital computers. The important themes in Theoretical Computer Science (TCS) are efficiency, impossibility results, approximation, central role of randomness, and reductions (NP-completeness and other intractability results). 28 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Document from the year 2019 in the subject Computer Science - Internet, New Technologies, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, critical context and integrative conclusion on the trends and best practices in Information Technology Management, and reviews and evaluates the key issues, trends and future direction of Modern Information Technology Management. IT is generally accepted as a key enabler of economic and technological growth.Managers implement new technology to change something: the organization, the nature of work, relationships with other organizations, or some other facet of business. Information Technology (IT) plays a vital role in leveraging productivity and efficiency in private organizations, governments and research. The value of IT in any organization depends on its infrastructure, which consists of computers, network and telecommunication technologies, data and core software applications. Information Technology (IT) is now a force and driver of modern technological development and globalization, and makes the management of information more efficient and effective. Technology management entails all management activities that determine the application of policy, objectives and responsibilities as well as their execution in an organization in terms of planning, allocating resources, organizing and ensuring outcomes that improve processes. The major IT Management issues are: Using technology to design efficient and effective organizations; Developing a plan for information technology in the organization; Using IT as a part of corporate strategy; Taking advantage of interorganizational systems; Deciding on and developing new applications of IT; Reengineering business processes; Adopting special applications; Changing the organization; Managing the IT infrastructure in a time of explosive growth and technological change; Deciding whether and what to outsource; and Deciding how much to invest in IT. Knowledge and skills are a necessary and sufficient condition for technological progress.Developing countries lack enough skilled IT persons who can design, program, install, configure and maintain Information Technology in this constantly changing industry. Accordingly, lack of qualified and globally recognized IT professionals is seriously hampering IT adoption and development. Management Information Systems refer to information management methods tied to the automation or support of human decision making, whereas IT Management refers to the IT related management activities in organizations. 24 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Academic Paper from the year 2019 in the subject Computer Science - Software, grade: A, ( Atlantic International University ), language: English, abstract: This essay describes or analyses the content, style and merit of the developments in Advanced Complexity Theory.Complex, self-organising, adaptive systems possess a kind of dynamism that makes them qualitatively different from static objects such as computer chips. Complex systems are more spontaneous, more disorderly, more alive than that. In the past three decades, chaos theory has shaken science to its foundations with the realisation that very simple dynamical systems can give rise to extraordinarily intricate behaviour. The edge of chaos is the constantly shifting battle zone between stagnation and anarchy, the one place where a complex system can be spontaneous, adaptive, and alive.Chaos theory is the qualitative study of unstable, aperiodic behaviour in deterministic, non-linear, dynamical systems. It is a specialised application of dynamical systems theory. Chaotic systems require impossible accuracy for useful prediction tasks. Chaos theory often seeks to understand the behaviour of a complex system by reconstructing its attractor, and knowing this attractor gives us qualitative understanding. Chaos theory includes theoretical hypotheses that assert relationships of qualitative (or topological) similarity between its abstract models and the actual systems it studies.Dynamics is used more as a source of qualitative insight than for making quantitative predictions. Its great value is its adaptability for constructing models of natural systems, which models can then be varied and analysed comparatively easily. Chaos theory is the quantitative study of dynamic non-linear system. Non-linear systems change with time and can demonstrate complex relationships between inputs and outputs due to reiterative feedback loops within the system.These systems are predictable but their behaviour is exquisitely sensitive to their starting point. Chaos is a sub-discipline of complexity. Complexity theory is the qualitative aspect drawing upon insights and metaphors that are derived from chaos theory. 24 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Academic Paper from the year 2019 in the subject Computer Science - Theory, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, a critical context, and an integrative conclusion on the six major text books on Algorithms design and analysis.Algorithms form the heart of Computer Science in general. An algorithm is simply a set of steps to accomplish or complete a task that is described precisely enough that a computer can run it. It is a sequence of unambiguous instructions for solving a problem, and is used for obtaining a required output for any legitimate input in a finite amount of time. Algorithms can be considered as procedural solutions to problems where the focus is on correctness and efficiency.The important problem types are sorting, searching, string processing, graph problems, combinatorial problems, geometric problems, and numerical problems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 20 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Essay from the year 2019 in the subject Computer Science - Theory, grade: 4.00, ( Atlantic International University ), language: English, abstract: The paper presents an analytical exposition, critical context and integrative conclusion on the discussion on the meaning, significance and potential applications of theoretical foundations of computer science with respect to Algorithms Design and Analysis, Complexity Theory, Turing Machines, Finite Automata, Cryptography and Machine Learning.An algorithm is any well-defined computational procedure that takes some value or sets of values as input and produces some values or sets of values as output. A Turing machine consists of a finite program, called the finite control, capable of manipulating a linear list of cells, called the tape, using one access pointer, called the head. Cellular automata is an array of finite state machines (inter-related).A universal Turing machine U is a Turing machine that can imitate the behavior of any other Turing machine T. Automata are a particularly simple, but useful, model of computation which were were initially proposed as a simple model for the behavior of neurons. A model of computation is a mathematical abstraction of computers which is used by computer scientists to perform a rigorous study of computation. An automaton with a finite number of states is called a Finite Automaton (FA) or Finite State Machine (FSM).The Church-Turing Thesis states that the Turing machine is equivalent in computational ability to any general mathematical device for computation, including digital computers. The important themes in Theoretical Computer Science (TCS) are efficiency, impossibility results, approximation, central role of randomness, and reductions (NP-completeness and other intractability results).Books on Demand GmbH, Überseering 33, 22297 Hamburg 28 pp. Englisch.