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Applied numerical analysis with MATLAB®/Simulink® : for engineers and scientists / Farzin Asadi
Cham, Switzerland : Springer, 2023
x, 322 pages. : illustrations ; 25 cm.
Ký hiệu phân loại (DDC): 621.38
This textbook provides a compact but comprehensive treatment that guides students through applied numerical analysis, using MATLAB®/Simulink®. Ideal as a hands-on source for courses in Numerical Analysis, this text focuses on solving problems using market-standard software, corresponding to all key concepts covered in the classroom. The author uses his extensive classroom experience to guide students toward deeper understanding of key concepts, while they gain facility with software they will need to master for later studies and practical use in their engineering careers.
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Beginning C++20 : from novice to professional / Ivor Horton; Peter van Weert
Berkeley, California : Apress, 2020
xxviii, 825 pages. : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 005.133
Begin your programming journey with C++, starting with the basics and progressing through step-by-step examples that will help you become a proficient C++ programmer. This book includes new features from the C++20 standard such as modules, concepts, ranges, and the spaceship operator. All you need are "Beginning C++20" and any recent C++ compiler and you'll soon be writing real C++ programs. There is no assumption of prior programming knowledge. All language concepts that are explained in the book are illustrated with working program examples, and all chapters include exercises for you to test and practice your knowledge. Free source code downloads are provided for all examples from the text and solutions to the exercises. This latest edition has been fully updated to the latest version of the language, C++20, and to all conventions and best practices of modern C++. "Beginning C++20" also introduces the elements of the C++ standard library that provide essential support for the C++20 language.
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Computational molecular biology : an algorithmic approach / Pavel Pevzner
Cambridge, Mass. : MIT Press, 2000.
xviii, 314 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 572.8
This text covers a broad range of algorithmic and combinatorial topics in computational molecular biology. It describes the connections between this emerging field with the disciplines of molecular biology and biotechnology.
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Concise guide to software engineering. : from fundamentals to application methods / Gerard O'Regan
Switzerland : Springer, 2017.
344 pages. : illustrations
Ký hiệu phân loại (DDC): 005.1
This essential textbook presents a concise introduction to the fundamental principles of software engineering, together with practical guidance on how to apply the theory in a real-world, industrial environment. The wide-ranging coverage encompasses all areas of software design, management, and quality. Topics and features: Presents a broad overview of software engineering, including software lifecycles and phases in software development, and project management for software engineering Examines the areas of requirements engineering, software configuration management, software inspections, software testing, software quality assurance, and process quality Covers topics on software metrics and problem solving, software reliability and dependability, and software design and development, including Agile approaches Explains formal methods, a set of mathematical techniques to specify and derive a program from its specification, introducing the Z specification language Discusses software process improvement, describing the CMMI model, and introduces UML, a visual modelling language for software systems Reviews a range of tools to support various activities in software engineering, and offers advice on the selection and management of a software supplier Describes such innovations in the field of software as distributed systems, service-oriented architecture, software as a service, cloud computing, and embedded systems Includes key learning topics, summaries and review questions in each chapter, together with a useful glossary This practical and easy-to-follow textbook/reference is ideal for computer science students seeking to learn how to build high quality and reliable software on time and on budget. The text also serves as a self-study primer for software engineers, quality professionals, and software managers.
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Data structures and algorithms with Python. / Kent D Lee; Steve Hubbard
New York : Springer, 2015
369 pages : illustrations
Ký hiệu phân loại (DDC): 005.73
This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced
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