Computation In Science Second Edition

This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.

Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.? In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.

Numerical methods are playing an ever-increasing role in physics and engineering. This is especially true after the recent explosion of computing power on the desk-top. This book is aimed at helping the user to make intelligent use of this power tool. Each method is introduced through realistic examples and actual computer programs. The explanations provide the background for making a choice between similar approaches and the knowledge to explore the network for the appropriate existing codes. Tedious proofs and derivations, on the other hand, are delegated to references. Examples of uncoventional methods are also given to stimulate readers in exploring new ways of solving problems. Errata(s) Appendix B, Page 485 “http://www.wspc.com.sg/others/software/3365/ftp.wspc.com.sg/pub/software/3365/” The above links should be replaced with “www.worldscientific.com/doi/suppl/10.1142/3365/suppl_file/3365_software_free.zip”

Exam Board: SQA Level: National 5 Subject: Computing Science First Teaching: August 2017 First Exam: June 2018 National 5 Computing Science provides complete coverage of the new SQA syllabus for the updated National 5 course Ensures clear support throughout the course with a text built specifically around the requirements, teaching approaches and syllabus outlines. Divided into four sections to follow this latest syllabus: Software Design and Development, Computer Systems, Database Design and Development and Web Design and Development. Assesses student progress with regular questions for National 5 students to test knowledge and understanding Consolidates knowledge with a summary of key points at the end of each chapter Includes a glossary and index for ease of reference

Exam Board: SQA Level: Higher Subject: Computing Science First Teaching: August 2018 First Exam: May 2019 Get your best grade with comprehensive course notes and advice from Scotland's top experts, fully updated for the latest changes to SQA Higher assessment. How to Pass Higher Computing Science Second Edition contains all the advice and support you need to revise successfully for your Higher exam. It combines an overview of the course syllabus with advice from a top expert on how to improve exam performance, so you have the best chance of success. - Revise confidently with up-to-date guidance tailored to the latest SQA assessment changes - Refresh your knowledge with comprehensive, tailored subject notes - Prepare for the exam with top tips and hints on revision techniques - Get your best grade with advice on how to gain those vital extra marks

Exam Board: SQA Level: National 5 Subject: Computing Science First Teaching: August 2017 First Exam: May 2018 Get your best grade with the SQA endorsed guide to National 5 Computing Science. Fully updated to account for the removal of Unit Assessments and the changes to the National 5 exam, this book contains all the advice and support you need to revise successfully. It combines an overview of the course syllabus with advice from a top expert on how to improve exam performance, so you have the best chance of success. - Refresh your knowledge with complete course notes - Prepare for the exam with top tips and hints on revision technique - Get your best grade with advice on how to gain those vital extra marks

Mathematical logic is essentially related to computer science. This book describes the aspects of mathematical logic that are closely related to each other, including classical logic, constructive logic, and modal logic. This book is intended to attend to both the peculiarities of logical systems and the requirements of computer science. In this edition, the revisions essentially involve rewriting the proofs, increasing the explanations, and adopting new terms and notations. Contents:Prerequisites:SetsInductive Definitions and ProofsNotationsClassical Propositional Logic:Propositions and ConnectivesPropositional LanguageStructure of FormulasSemanticsTautological ConsequenceFormal DeductionDisjunctive and Conjunctive Normal FormsAdequate Sets of ConnectivesClassical First-Order Logic:Proposition Functions and QuantifiersFirst-Order LanguageSemanticsLogical ConsequenceFormal DeductionPrenex Normal FormAxiomatic Deduction System:Axiomatic Deduction SystemRelation between the Two Deduction SystemsSoundness and Completeness:Satisfiability and ValiditySoundnessCompleteness of Propositional LogicCompleteness of First-Order LogicCompleteness of First-Order Logic with EqualityIndependenceCompactness, Löwenheim–Skolem, and Herbrand Theorems:CompactnessLöwenheim-Skolem's TheoremHerbrand's TheoremConstructive Logic:Constructivity of ProofsSemanticsFormal DeductionSoundnessCompletenessModal Propositional Logic:Modal Propositional LanguageSemanticsFormal DeductionSoundnessCompleteness of TCompleteness of S4, B, S5Modal First-Order Logic:Modal First-Order LanguageSemanticsFormal DeductionSoundnessCompletenessEquality Readership: Computer scientists. keywords: