This book strives to endow upper-level undergraduate students and lower-level graduate students with the conceptual and manipulative tools necessary to make Computation Theory part of their professional lives. A large selection of exercises is included.

The Pillars of Computation Theory: State, Encoding, Nondeterminism (Universitext)

Computers & Technology

Rosenberg, Arnold L.

Computer Science

Springer

The interconnection network is one of the most basic components of a massively parallel computer system. Such systems consist of hundreds or thousands of processors interconnected to work cooperatively on computations. One of the central problems in parallel computing is the task of mapping a collection of processes onto the processors and routing network of a parallel machine. Once this mapping is done, it is critical to schedule computations within and communication among processors so that the necessary inputs for a process are available where and when the process is scheduled to be computed. This book contains the refereed proceedings of a DIMACS Workshop on Massively Parallel Computation, held in February 1994. The workshop brought together researchers from universities and laboratories, as well as practitioners involved in the design, implementation, and application of massively parallel systems. Focusing on interconnection networks of parallel architectures of today and of the near future, the book includes topics such as network topologies, network properties, message routing, network embeddings, network emulation, mappings, and efficient scheduling.

Interconnection Networks and Mapping and Scheduling Parallel Computations: Dimacs Workshop, February 7-9, 1994 (Dimacs Series in Discrete Mathematic)

Hsu, D. Frank

Certification

Amer Mathematical Society

Understand Mathematics, Understand Computing: Discrete Mathematics That All Computing Students Should Know

In this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing. They want the reader to understand the elements of computing, rather than just know them. The basic topics are presented in a way that encourages readers to develop their personal way of thinking about mathematics. Many topics are developed at several levels, in a single voice, with sample applications from within the world of computing. Extensive historical and cultural asides emphasize the human side of mathematics and mathematicians. <div> </div> <div>By means of lessons and exercises on&nbsp;"doing"&nbsp;mathematics, the book prepares interested readers to develop new concepts and invent new techniques and technologies that will enhance all aspects of computing. The book will be of value to students, scientists, and engineers engaged in the design and use of computing systems, and to scholars and practitioners beyond these technical fields who want to learn and apply novel computational ideas.</div>

Trystram, Denis

In this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing. They want the reader to understand the elements of computing, rather than just know them. The basic topics are presented in a way that encourages readers to develop their personal way of thinking about mathematics. Many topics are developed at several levels, in a single voice, with sample applications from within the world of computing. Extensive historical and cultural asides emphasize the human side of mathematics and mathematicians. 
By means of lessons and exercises on “doing” mathematics, the book prepares interested readers to develop new concepts and invent new techniques and technologies that will enhance all aspects of computing. The book will be of value to students, scientists, and engineers engaged in the design and use of computing systems, and to scholars and practitioners beyond these technical fields who want to learn and apply novel computational ideas.

Understanding Computation: Pillars, Paradigms, Principles (Texts in Computer Science)

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?&nbsp; Are the differences in difficulty that we observe inherent, or are they artifacts of the way we try to perform the computations?&nbsp; 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&nbsp; 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.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;

Heath, Lenwood S.

See the best price to sell, buy, or rent books by Rosenberg, Arnold L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Rosenberg, Arnold L.

See the best price to sell, buy, or rent books by Rosenberg, Arnold L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

The Pillars of Computation Theory: State, Encoding, Nondeterminism (Universitext)

Interconnection Networks and Mapping and Scheduling Parallel Computations: Dimacs Workshop, February 7-9, 1994 (Dimacs Series in Discrete Mathematic)

Understand Mathematics, Understand Computing: Discrete Mathematics That All Computing Students Should Know

Understand Mathematics, Understand Computing: Discrete Mathematics That All Computing Students Should Know

Understanding Computation: Pillars, Paradigms, Principles (Texts in Computer Science)

Understanding Computation: Pillars, Paradigms, Principles (Texts in Computer Science)