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Understanding Computation - Pillars, Paradigms, Principles (1st ed. 2022)
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Understanding Computation - Pillars, Paradigms, Principles (1st ed. 2022)
Series: Texts in Computer Science
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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.   Â
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General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Texts in Computer Science |
Release date: |
August 2023 |
First published: |
2022 |
Authors: |
Arnold L. Rosenberg
• Lenwood S. Heath
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
570 |
Edition: |
1st ed. 2022 |
ISBN-13: |
978-3-03-110057-4 |
Categories: |
Books
|
LSN: |
3-03-110057-3 |
Barcode: |
9783031100574 |
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