Isbn: 9783031100574 - understanding computation: pillars, paradigms, principles (texts in computer science) (23 resultados)

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Paperback. Condición: new. Paperback. Computation theory is a discipline that uses mathematical concepts and tools to expose the nature of "computation" and to explain a broad range of computational phenomena: Why is it harder to perform some computations than others? Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations? How does one reason about such questions?This unique textbook strives to endow students with conceptual and manipulative tools necessary to make computation theory part of their professional lives. The work achieves this goal by means of three stratagems that set its approach apart from most other texts on the subject.For starters, it develops the necessary mathematical concepts and tools from the concepts' simplest instances, thereby helping students gain operational control over the required mathematics. Secondly, it organizes development of theory around four "pillars," enabling students to see computational topics that have the same intellectual origins in physical proximity to one another. Finally, the text illustrates the "big ideas" that computation theory is built upon with applications of these ideas within "practical" domains in mathematics, computer science, computer engineering, and even further afield.Suitable for advanced undergraduate students and beginning graduates, this textbook augments the "classical" models that traditionally support courses on computation theory with novel models inspired by "real, modern" computational topics,such as crowd-sourced computing, mobile computing, robotic path planning, and volunteer computing.Arnold L. Rosenberg is Distinguished Univ. Professor Emeritus at University of Massachusetts, Amherst, USA. Lenwood S. Heath is Professor at Virgina Tech, Blacksburg, USA. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condición: New. 2022 ed. Computation theory is a discipline that uses mathematical concepts and tools to expose the nature of "computation" and to explain a broad range of computational phenomena: Why is it harder to perform some computations than others?  Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations?  How does one reason about such questions?This unique textbook strives to endow students with conceptual and manipulative tools necessary to make computation theory part of their professional lives. The work achieves this goal by means of three stratagems that set its approach apart from most other texts on the subject.For starters, it develops the necessary mathematical concepts and tools from the concepts' simplest instances, thereby helping students gain operational control over the required mathematics. Secondly, it organizes development of theory around four "pillars," enabling students to see computational topics that have the same intellectual origins in physical proximity to one another. Finally, the text illustrates the "big ideas" that computation theory is built upon with applications of these ideas within "practical" domains in mathematics, computer science, computer engineering, and even further afield.Suitable for advanced undergraduate students and beginning graduates, this textbook augments the "classical" models that traditionally support courses on computation theory with novel models inspired by "real, modern" computational topics,such as  crowd-sourced computing, mobile computing, robotic path planning, and volunteer computing.Arnold L. Rosenberg is Distinguished Univ. Professor Emeritus at University of Massachusetts, Amherst, USA. Lenwood S. Heath is Professor at Virgina Tech, Blacksburg, USA.…

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Taschenbuch. Condición: Neu. Understanding Computation | Pillars, Paradigms, Principles | Arnold L. Rosenberg (u. a.) | Taschenbuch | Texts in Computer Science | xvii | Englisch | 2023 | Springer | EAN 9783031100574 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condición: new. Paperback. Computation theory is a discipline that uses mathematical concepts and tools to expose the nature of "computation" and to explain a broad range of computational phenomena: Why is it harder to perform some computations than others? Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations? How does one reason about such questions?This unique textbook strives to endow students with conceptual and manipulative tools necessary to make computation theory part of their professional lives. The work achieves this goal by means of three stratagems that set its approach apart from most other texts on the subject.For starters, it develops the necessary mathematical concepts and tools from the concepts' simplest instances, thereby helping students gain operational control over the required mathematics. Secondly, it organizes development of theory around four "pillars," enabling students to see computational topics that have the same intellectual origins in physical proximity to one another. Finally, the text illustrates the "big ideas" that computation theory is built upon with applications of these ideas within "practical" domains in mathematics, computer science, computer engineering, and even further afield.Suitable for advanced undergraduate students and beginning graduates, this textbook augments the "classical" models that traditionally support courses on computation theory with novel models inspired by "real, modern" computational topics,such as crowd-sourced computing, mobile computing, robotic path planning, and volunteer computing.Arnold L. Rosenberg is Distinguished Univ. Professor Emeritus at University of Massachusetts, Amherst, USA. Lenwood S. Heath is Professor at Virgina Tech, Blacksburg, USA. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computation theory is a discipline that uses mathematical concepts and tools to expose the nature of 'computation' and to explain a broad range of computational phenomena: Why is it harder to perform some computations than others Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations How does one reason about such questions This unique textbook strives to endow students with conceptual and manipulative tools necessary to make computation theory part of their professional lives. The work achieves this goal by means of three stratagems that set its approach apart from most other texts on the subject.For starters, it develops the necessary mathematical concepts and tools from the concepts' simplest instances, thereby helping students gain operational control over the required mathematics. Secondly, it organizes development of theory around four 'pillars,' enabling students to see computational topics that have the same intellectual origins in physical proximity to one another. Finally, the text illustrates the 'big ideas' that computation theory is built upon with applications of these ideas within 'practical' domains in mathematics, computer science, computer engineering, and even further afield.Suitable for advanced undergraduate students and beginning graduates, this textbook augments the 'classical' models that traditionally support courses on computation theory with novel models inspired by 'real, modern' computational topics,such as crowd-sourced computing, mobile computing, robotic path planning, and volunteer computing.Arnold L. Rosenberg is Distinguished Univ. Professor Emeritus at University of Massachusetts, Amherst, USA. Lenwood S. Heath is Professor at Virgina Tech, Blacksburg, USA.…

Paperback. Condición: New. 2022 ed. Computation theory is a discipline that uses mathematical concepts and tools to expose the nature of "computation" and to explain a broad range of computational phenomena: Why is it harder to perform some computations than others?  Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations?  How does one reason about such questions?This unique textbook strives to endow students with conceptual and manipulative tools necessary to make computation theory part of their professional lives. The work achieves this goal by means of three stratagems that set its approach apart from most other texts on the subject.For starters, it develops the necessary mathematical concepts and tools from the concepts' simplest instances, thereby helping students gain operational control over the required mathematics. Secondly, it organizes development of theory around four "pillars," enabling students to see computational topics that have the same intellectual origins in physical proximity to one another. Finally, the text illustrates the "big ideas" that computation theory is built upon with applications of these ideas within "practical" domains in mathematics, computer science, computer engineering, and even further afield.Suitable for advanced undergraduate students and beginning graduates, this textbook augments the "classical" models that traditionally support courses on computation theory with novel models inspired by "real, modern" computational topics,such as  crowd-sourced computing, mobile computing, robotic path planning, and volunteer computing.Arnold L. Rosenberg is Distinguished Univ. Professor Emeritus at University of Massachusetts, Amherst, USA. Lenwood S. Heath is Professor at Virgina Tech, Blacksburg, USA.…

Paperback. Condición: Brand New. 587 pages. 9.25x6.10x1.30 inches. In Stock. This item is printed on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computation theory is a discipline that uses mathematical concepts and tools to expose the nature of 'computation' and to explain a broad range of computational phenomena: Why is it harder to perform some computations than others Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations How does one reason about such questions This unique textbook strives to endow students with conceptual and manipulative tools necessary to make computation theory part of their professional lives. The work achieves this goal by means of three stratagems that set its approach apart from most other texts on the subject.For starters, it develops the necessary mathematical concepts and tools from the concepts' simplest instances, thereby helping students gain operational control over the required mathematics. Secondly, it organizes development of theory around four 'pillars,' enabling students to see computational topics that have the same intellectual origins in physical proximity to one another. Finally, the text illustrates the 'big ideas' that computation theory is built upon with applications of these ideas within 'practical' domains in mathematics, computer science, computer engineering, and even further afield.Suitable for advanced undergraduate students and beginning graduates, this textbook augments the 'classical' models that traditionally support courses on computation theory with novel models inspired by 'real, modern' computational topics,such as crowd-sourced computing, mobile computing, robotic path planning, and volunteer computing.Arnold L. Rosenberg is Distinguished Univ. Professor Emeritus at University of Massachusetts, Amherst, USA. Lenwood S. Heath is Professor at Virgina Tech, Blacksburg, USA. 588 pp. Englisch.…

Condición: New. Print on Demand pp. 588.

Condición: New. PRINT ON DEMAND pp. 588.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computation theory is a discipline that uses mathematical concepts and tools to expose the nature of 'computation' and to explain a broad range of computational phenomena: Why is it harder to perform some computations than others Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations How does one reason about such questions This unique textbook strives to endow students with conceptual and manipulative tools necessary to make computation theory part of their professional lives. The work achieves this goal by means of three stratagems that set its approach apart from most other texts on the subject.For starters, it develops the necessary mathematical concepts and tools from the concepts' simplest instances, thereby helping students gain operational control over the required mathematics. Secondly, it organizes development of theory around four 'pillars,' enabling students to see computational topics that have the same intellectual origins in physical proximity to one another. Finally, the text illustrates the 'big ideas' that computation theory is built upon with applications of these ideas within 'practical' domains in mathematics, computer science, computer engineering, and even further afield.Suitable for advanced undergraduate students and beginning graduates, this textbook augments the 'classical' models that traditionally support courses on computation theory with novel models inspired by 'real, modern' computational topics,such as crowd-sourced computing, mobile computing, robotic path planning, and volunteer computing.Arnold L. Rosenberg is Distinguished Univ. Professor Emeritus at University of Massachusetts, Amherst, USA. Lenwood S. Heath is Professor at Virgina Tech, Blacksburg, USA.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 588 pp. Englisch.…