Computation Of Integers
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📒Math Computation Skills Strategies Level 8 ✍ Saddleback Publishing
✏Math Computation Skills Strategies Level 8 Book Summary : Every book in the Math Computation Skills and Strategies Series contains 125+ reproducible pages that combine solid basic math skills reinforcement with problem solving strategy instruction. The series develops fact fluency and multi digit computation skills across the strands: Number Sense, Operations, Geometry & Measurement, Algebra Readiness, and Probability.
📒Elements Of Computation Theory ✍ Arindama Singh
✏Elements of Computation Theory Book Summary : The foundation of computer science is built upon the following questions: What is an algorithm? What can be computed and what cannot be computed? What does it mean for a function to be computable? How does computational power depend upon programming constructs? Which algorithms can be considered feasible? For more than 70 years, computer scientists are searching for answers to such qu- tions. Their ingenious techniques used in answering these questions form the theory of computation. Theory of computation deals with the most fundamental ideas of computer s- ence in an abstract but easily understood form. The notions and techniques employed are widely spread across various topics and are found in almost every branch of c- puter science. It has thus become more than a necessity to revisit the foundation, learn the techniques, and apply them with con?dence. Overview and Goals This book is about this solid, beautiful, and pervasive foundation of computer s- ence. It introduces the fundamental notions, models, techniques, and results that form the basic paradigms of computing. It gives an introduction to the concepts and mathematics that computer scientists of our day use to model, to argue about, and to predict the behavior of algorithms and computation. The topics chosen here have shown remarkable persistence over the years and are very much in current use.
📒Effective Polynomial Computation ✍ Richard Zippel
✏Effective Polynomial Computation Book Summary : Effective Polynomial Computation is an introduction to the algorithms of computer algebra. It discusses the basic algorithms for manipulating polynomials including factoring polynomials. These algorithms are discussed from both a theoretical and practical perspective. Those cases where theoretically optimal algorithms are inappropriate are discussed and the practical alternatives are explained. Effective Polynomial Computation provides much of the mathematical motivation of the algorithms discussed to help the reader appreciate the mathematical mechanisms underlying the algorithms, and so that the algorithms will not appear to be constructed out of whole cloth. Preparatory to the discussion of algorithms for polynomials, the first third of this book discusses related issues in elementary number theory. These results are either used in later algorithms (e.g. the discussion of lattices and Diophantine approximation), or analogs of the number theoretic algorithms are used for polynomial problems (e.g. Euclidean algorithm and p-adic numbers). Among the unique features of Effective Polynomial Computation is the detailed material on greatest common divisor and factoring algorithms for sparse multivariate polynomials. In addition, both deterministic and probabilistic algorithms for irreducibility testing of polynomials are discussed.
📒Advances In Computing And Information Icci 90 ✍ Selim G. Akl
✏Advances in Computing and Information ICCI 90 Book Summary : This volume contains selected and invited papers presented at ICCI '90. Topics range over theory of comput- ing, algorithms and programming, data and software engineering, computer architecture, concurrency, parallelism, communication and networking.
📒Algorithms And Computation ✍ Kyung-Yong Chwa
✏Algorithms and Computation Book Summary : This book constitutes the refereed proceedings of the 9th International Symposium on Algorithms and Computation, ISAAC'98, held in Taejon, Korea, in December 1998. The 47 revised full papers presented were carefully reviewed and selected from a total of 102 submissions. The book is divided in topical sections on computational geometry, complexity, graph drawing, online algorithms and scheduling, CAD/CAM and graphics, graph algorithms, randomized algorithms, combinatorial problems, computational biology, approximation algorithms, and parallel and distributed algorithms.
✏Foundations of Software Science and Computation Structures Book Summary : This book constitutes the refereed proceedings of the First International Conference on the Foundations of Software Science and Computation Structures, FoSSaCS'98, held as part of the Joint European Conferences on Theory and Practice of Software, ETAPS'98, in Lisbon, Portugal, in March/April 1998. The 19 revised full papers presented in the book were carefully selected from a total of 44 submissions. Among the topics covered are formal specification, automata theory, term rewriting and rewriting systems, process algebras, formal language theory, type theory, event structures, and iteration theory.
✏An Introduction to Formal Languages and Machine Computation Book Summary : This book provides a concise and modern introduction to Formal Languages and Machine Computation, a group of disparate topics in the theory of computation, which includes formal languages, automata theory, turing machines, computability, complexity, number-theoretic computation, public-key cryptography, and some new models of computation, such as quantum and biological computation. As the theory of computation is a subject based on mathematics, a thorough introduction to a number of relevant mathematical topics, including mathematical logic, set theory, graph theory, modern abstract algebra, and particularly number theory, is given in the first chapter of the book. The book can be used either as a textbook for an undergraduate course, for a first-year graduate course, or as a basic reference in the field.
📒Theory Of Computation ✍ A.A.Puntambekar
✏Theory of Computation Book Summary : Automata Formal proof - Additional forms of proof - Inductive proofs - Finite Automata (FA) - Deterministic Finite Automata (DFA) - Non deterministic Finite Automata (NFA) - Finite Automata with Epsilon transitions. Regular Expressions and Languages Regular Expression - FA and Regular Expressions - Proving languages not to be regular - Closure properties of regular languages - Equivalence and minimization of Automata. Context-Free Grammar and Languages Context-Free Grammar (CFG) - Parse Trees - Ambiguity in grammars and languages - Definition of the Pushdown automata - Languages of a Pushdown Automata - Equivalence of Pushdown automata and CFG, Deterministic Pushdown Automata.Properties of Context-Free Languages Normal forms for CFG - Pumping Lemma for CFL - Closure Properties of CFL - Turing Machines - Programming Techniques for TM. Undecidability A language that is not Recursively Enumerable (RE) - An undecidable problem that is RE - Undecidable problems about Turing Machine - Post's Correspondence Problem - The classes P and NP.
📒Pattern Matching Algorithms ✍ Alberto Apostolico
✏Pattern Matching Algorithms Book Summary : Issues of matching and searching on elementary discrete structures arise pervasively in computer science and many of its applications, and their relevance is expected to grow as information is amassed and shared at an accelerating pace. Several algorithms were discovered as a result of these needs, which in turn created the subfield of Pattern Matching. This book provides an overview of the current state of Pattern Matching as seen by specialists who have devoted years of study to the field. It covers most of the basic principles and presents material advanced enough to faithfully portray the current frontier of research. Because of these recent advances, this is the right time for a book that brings together information relevant to both graduate students and specialists in need of an in-depth reference.
📒Advances In Computational Mathematics ✍ Zhongying Chen
✏Advances in Computational Mathematics Book Summary : This volume presents the refereed proceedings of the Guangzhou International Symposium on Computational Mathematics, held at the Zhongshan University, People's Republic of China. Nearly 90 international mathematicians examine numerical optimization methods, wavelet analysis, computational approximation, numerical solutions of differential and integral equations, numerical linear algebra, inverse and ill-posed problems, geometric modelling, and signal and image processing and their applications.