Concrete mathematics, a foundation for computer science, by Ronald L. Graham, Donald E. Knuth and Oren Patashnik. Pp 625. £24·95. 1989. ISBN 0-201-14236-8 (Addison-Wesley)

A course in the theory of stochastic processes, by A. D. Wentzell. Pp 304. £32·95. 1981. ISBN 0-07-069305-6 (McGraw-Hill)

Introductory real analysis , Introductory real analysis , کتابخانه دیجیتال جندی شاپور اهواز

Introductory Real Analysis. By A. N. Kolmogorov and S. V. Fomin, translated by Richard A. Silverman. Pp. xii, 403. (Prentice-Hall Inc.)

Book Review: Parallel computers: Architecture, programming and algorithms. R.W. Hockney and C.R. Jesshope, Adam-Hilger, Bristol, 1981. xii + 416 pages. £22.50

Programming skills are indispensable in todays world, not just for computer science students, but also for anyone in any scientific or technical discipline. Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the worlds most widely used languages. This example-driven guide focuses on Javas most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Applications from applied math, physics, chemistry, biology, and computer science Drawing on their extensive classroom experience, throughout the text the authors provide Q&As, exercises, and opportunities for creative engagement with the material. Together with the companion materials described below, this book empowers people to pursue a modern approach to teaching and learning programming. Companion web site (introcs.cs.princeton.edu/java) contains Chapter summaries Supplementary exercises, some with solutions Detailed instructions for installing a Java programming environment Program code and test data suitable for easy download Detailed creative exercises, projects, and other supplementary materials Companion studio-produced online videos (informit.com/sedgewick) are available for purchase and provide students and professionals with the opportunity to engage with the material at their own pace and give instructors the opportunity to spend their time with students helping them to succeed on assignments and exams.

Introduction to Programming in Java: An Interdisciplinary Approach (2nd Edition)

A Practical Approach to High-Performance Computing

In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are obtained in an explicit form. We prove also the correctness of the definition of such an operator. Illustrative numerical examples are also presented and discussed.

Stochastic Preisach operator: definition within the design approach

A new class of models of hysteretic converters which generalizes the classical play-operator with stochastic properties (defining curves of this operator are treated as non-deterministic and have a random distribution) is proposed. In this case an output of stochastic converter is defined as a random process. The correctness of the definition of the corresponding converter in terms of a special limit construction is proved. Within this definition an output of the corresponding converter is determined at arbitrary continuous inputs. Properties of introduced converters are investigated and illustrative examples are presented.

Generalized Play-Operator Under Stochastic Perturbations: An Analytic Approach

Fundamentals of Parallel Computing

In many cases, the development of an efficient parallel algorithm for the solution of some problem requires new ideas and methods in comparison with the creation of a sequential version of the algorithm. Examples are the practically important problems of searching for a target element in a data structure and of computation of the value of an algebraic expression. The present chapter discusses algorithms for array element summation and data sorting.

Sergei Borzunov

Papers

A Practical Approach to High-Performance Computing

Stochastic Preisach operator: definition within the design approach

Generalized Play-Operator Under Stochastic Perturbations: An Analytic Approach

Fundamentals of Parallel Computing

Implementation of Parallel Algorithms