computational

数値流体力学 / 原タイトル:An Introduction to Computational Fluid Dynamics 原著第2版の翻訳 本/雑誌 (単行本 ムック) / H.K.Versteeg/原著 W.Malalasekera/原著 松下洋介/共訳 齋藤泰洋/共訳 青木秀之/共訳 三浦隆利/共訳Social Simulation for a Digital Society Applications and Innovations in Computational Social Science【電子書籍】Bioinformatics with Python Cookbook Use modern Python libraries and applications to solve real-world computational biology problems【電子書籍】 Tiago AntaoSpatial Analysis Along Networks Statistical and Computational Methods【電子書籍】 Atsuyuki OkabeAn Introduction to Computational Science【電子書籍】 Allen HolderTheory of Computational Complexity【電子書籍】 Ding-Zhu DuComputational Intelligence A Methodological Introduction【電子書籍】 Christian MoewesUnderstanding Computational Bayesian Statistics【電子書籍】 William M. BolstadWhat Makes Us Smart The Computational Logic of Human Cognition【電子書籍】 Samuel J. GershmanMathematical Optics Classical, Quantum, and Computational Methods【電子書籍】Advances in Computational Intelligence 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22 27, 2018, Proceedings, Part II【電子書籍】Foundations of Computational Finance with MATLAB【電子書籍】 Ed McCarthyComputational Thinking in Education A Pedagogical Perspective【電子書籍】Transactions on Computational Collective Intelligence XXXI【電子書籍】Computational Discrete Mathematics Combinatorics and Graph Theory with Mathematica 【電子書籍】 Sriram PemmarajuComputational Genomics with R【電子書籍】 Altuna AkalinConvex Optimization with Computational Errors【電子書籍】 Alexander J. ZaslavskiDiscrete and Computational Geometry【電子書籍】 Satyan L. DevadossComputational BIM with Dynamo Revit Dynamo＋RevitではじめるコンピュテーショナルBIM 石津優子計算物理学 2 / 原タイトル:Computational Physics 原著第3版の翻訳 本/雑誌 (実践Pythonライブラリー) / R.H.Landau/〔著〕 M.J.Paez/〔著〕 C.C.Bordeianu/〔著〕 小柳義夫/監訳 秋野喜彦/〔ほか〕訳

数値流体力学 / 原タイトル:An Introduction to Computational Fluid Dynamics 原著第2版の翻訳[本/雑誌] (単行本・ムック) / H.K.Versteeg/原著 W.Malalasekera/原著 松下洋介/共訳 齋藤泰洋/共訳 青木秀之/共訳 三浦隆利/共訳

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  • ご注文前に必ずご確認ください＜商品説明＞航空機・自動車の空力解析、ガスの燃焼解析、タービンの流路解析、気象シミュレーションetc.方法論の詳細からその応用まで、「有限体積法」のすべてがわかる。＜収録内容＞流体運動の保存則と境界条件乱流とそのモデリング拡散問題に対する有限体積法対流‐拡散問題に対する有限体積法定常流れにおける圧力場と速度場離散化方程式の解法非定常流れに対する有限体積法境界条件の適用数値流体力学モデリングにおける誤差と不確かさ〔ほか〕＜商品詳細＞商品番号：NEOBK-968607H. K. Versteeg / Gencho W. Malalasekera / Gencho Matsushita Yosuke / Tomo Yaku Saito Yasuhiro / Tomo Yaku Aoki Hideyuki / Tomo Yaku Miura Takatoshi / Tomo Yaku / Suchi Ryutai Rikigaku / Original Title: an Introduction to Computational Fluid Dynamics Gencho Dai2 Han No Honyakuメディア：本/雑誌発売日：2011/05JAN：9784627919723数値流体力学 / 原タイトル:An Introduction to Computational Fluid Dynamics 原著第2版の翻訳[本/雑誌] (単行本・ムック) / H.K.Versteeg/原著 W.Malalasekera/原著 松下洋介/共訳 齋藤泰洋/共訳 青木秀之...

    • Social Simulation for a Digital Society Applications and Innovations in Computational Social Science【電子書籍】

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  • ＜p＞“Social Simulation for a Digital Society” provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public pol...

    • Bioinformatics with Python Cookbook Use modern Python libraries and applications to solve real-world computational biology problems【電子書籍】[ Tiago Antao ]

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  • ＜p＞Discover modern, next-generation sequencing libraries from the powerful Python ecosystem to perform cutting-edge research and analyze large amounts of biological data Key Features ? Perform complex bioinformatics analysis using the most essential Python libraries and applications ? Implement next-generation sequencing, metagenomics, automating analysis, population genetics, and much more ? Explore various statistical and machine learning techniques for bioinformatics data analysis Book Description Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data, and this book will show you how to manage these tasks using Python. This updated third edition of the Bioinformatics with Python Cookbook begins with a quick overview of the various tools and libraries in the Python ecosystem that will help you convert, analyze, and visualize biological datasets. Next, you'll cover key techniques for nex...

    • Spatial Analysis Along Networks Statistical and Computational Methods【電子書籍】[ Atsuyuki Okabe ]

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  • ＜p＞In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation.＜/p＞ ＜p＞Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET.＜/p＞ ＜p＞Spatial Analysis A...

    • An Introduction to Computational Science【電子書籍】[ Allen Holder ]

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  • ＜p＞This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: ＜em＞How expensive is a calculation, how trustworthy is a calculation,＜/em＞ and ＜em＞how might we model a problem to apply a desired numerical method?＜/em＞＜/p＞ ＜p＞The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the ...

    • Theory of Computational Complexity【電子書籍】[ Ding-Zhu Du ]

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  • ＜p＞＜strong＞Praise for the ＜em＞First Edition＜/em＞＜/strong＞＜/p＞ ＜p＞"... complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity."＜br /＞ ー＜em＞＜strong＞Zentralblatt MATH＜/strong＞＜/em＞＜/p＞ ＜p＞A thorough revision based on advances in the field of computational complexity and readers’ feedback, the ＜em＞Second Edition＜/em＞ of ＜em＞Theory of Computational Complexity＜/em＞ presents updates to the principles and applications essential to understanding modern computational complexity theory. The new edition continues to serve as a comprehensive resource on the use of software and computational approaches for solving algorithmic problems and the related difficulties that can be encountered.＜/p＞ ＜p＞Maintaining extensive and detailed coverage, ＜em＞Theory of Computational Complexity, Second Edition＜/em＞, examines the theory and methods behind complexity theory, such as...

    • Computational Intelligence A Methodological Introduction【電子書籍】[ Christian Moewes ]

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  • ＜p＞This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their practical implementations, and explains the theoretical background underpinning proposed solutions to common problems. Only a basic knowledge of mathematics is required. Features: provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software tools; contains numerous examples and definitions throughout the text; presents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networks; covers the latest approaches, including ant colony optimization and probabilistic graphical models; written by a team of highly-regarded experts in CI, with extensive experience in bo...

    • Understanding Computational Bayesian Statistics【電子書籍】[ William M. Bolstad ]

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  • ＜p＞＜strong＞A hands-on introduction to computational statistics＜/strong＞ ＜strong＞from a Bayesian point of view＜/strong＞＜/p＞ ＜p＞Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, ＜em＞Understanding Computational Bayesian Statistics＜/em＞ successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula giving its shape is all that is known, and how Bayesian inferences can be based on these samples from the posterior. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical mean model, the logistic regression model, and the proportional hazards model.＜/p＞ ＜p＞The book begins with an outline of the similarities and differences between Bayesian and the likelihood approaches to statistics. Subsequent chapters present ke...

    • What Makes Us Smart The Computational Logic of Human Cognition【電子書籍】[ Samuel J. Gershman ]

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  • ＜p＞＜strong＞How a computational framework can account for the successes and failures of human cognition＜/strong＞＜/p＞ ＜p＞At the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. ＜em＞What Makes Us Smart＜/em＞ makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memoryーin other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the “stupid” errors of human cognition.＜/p＞ ＜p＞Embarking on a journey across psychology, neuroscience, compute...

    • Mathematical Optics Classical, Quantum, and Computational Methods【電子書籍】

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  • ＜p＞Going beyond standard introductory texts, ＜strong＞Mathematical Optics: Classical, Quantum, and Computational Methods＜/strong＞ brings together many new mathematical techniques from optical science and engineering research. Profusely illustrated, the book makes the material accessible to students and newcomers to the field.＜/p＞ ＜p＞Divided into six parts, the text presents state-of-the-art mathematical methods and applications in classical optics, quantum optics, and image processing.＜/p＞ ＜ul＞ ＜li＞＜/li＞ ＜li＞Part I describes the use of phase space concepts to characterize optical beams and the application of dynamic programming in optical waveguides.＜/li＞ ＜li＞Part II explores solutions to paraxial, linear, and nonlinear wave equations.＜/li＞ ＜li＞Part III discusses cutting-edge areas in transformation optics (such as invisibility cloaks) and computational plasmonics.＜/li＞ ＜li＞Part IV uses Lorentz groups, dihedral group symmetry, Lie algebras, and Liouvil...

    • Advances in Computational Intelligence 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22?27, 2018, Proceedings, Part II【電子書籍】

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  • ＜p＞The two-volume set LNAI 11288 and 11289 constitutes the proceedings of the 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, held in Guadalajara, Mexico, in October 2018.＜/p＞ ＜p＞The total of 62 papers presented in these two volumes was carefully reviewed and selected from 149 submissions.＜/p＞ ＜p＞The contributions are organized in topical as follows:＜/p＞ ＜p＞Part I: evolutionary and nature-inspired intelligence; machine learning; fuzzy logic and uncertainty management.＜/p＞ ＜p＞Part II: knowledge representation, reasoning, and optimization; natural language processing; and robotics and computer vision.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。

    • Foundations of Computational Finance with MATLAB【電子書籍】[ Ed McCarthy ]

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  • ＜p＞＜strong＞Graduate from Excel to MATLAB? to keep up with the evolution of finance data＜/strong＞＜/p＞ ＜p＞＜em＞Foundations of Computational Finance with MATLAB?＜/em＞ is an introductory text for both finance professionals looking to branch out from the spreadsheet, and for programmers who wish to learn more about finance. As financial data grows in volume and complexity, its very nature has changed to the extent that traditional financial calculators and spreadsheet programs are simply no longer enough. Today’s analysts need more powerful data solutions with more customization and visualization capabilities, and MATLAB provides all of this and more in an easy-to-learn skillset.＜/p＞ ＜p＞This book walks you through the basics, and then shows you how to stretch your new skills to create customized solutions. Part I demonstrates MATLAB’s capabilities as they apply to traditional finance concepts, and PART II shows you how to create interactive and reusable code, link with e...

    • Computational Thinking in Education A Pedagogical Perspective【電子書籍】

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  • ＜p＞＜em＞Computational Thinking in Education＜/em＞ explores the relevance of computational thinking in primary and secondary education.＜/p＞ ＜p＞As today’s school-aged students prepare to live and work in a thoroughly digitized world, computer science is providing a wealth of new learning concepts and opportunities across domains. This book offers a comprehensive overview of computational thinking, its history, implications for equity and inclusion, analyses of competencies in practice, and integration into learning, instruction, and assessment through scaffolded teacher education.＜/p＞ ＜p＞Computer science education faculty and pre- and in-service educators will find a fresh pedagogical approach to computational thinking in primary and secondary classrooms.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。

    • Transactions on Computational Collective Intelligence XXXI【電子書籍】

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  • ＜p＞These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This thirty-first issue presents 12 selected papers from the 3rd Seminar on Quantitative Methods of Group Decision Making which was held in November 2017 at the WSB University in Wroclaw.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kob...

    • Computational Discrete Mathematics Combinatorics and Graph Theory with Mathematica ?【電子書籍】[ Sriram Pemmaraju ]

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  • ＜p＞This book was first published in 2003. Combinatorica, an extension to the popular computer algebra system Mathematica?, is the most comprehensive software available for teaching and research applications of discrete mathematics, particularly combinatorics and graph theory. This book is the definitive reference/user's guide to Combinatorica, with examples of all 450 Combinatorica functions in action, along with the associated mathematical and algorithmic theory. The authors cover classical and advanced topics on the most important combinatorial objects: permutations, subsets, partitions, and Young tableaux, as well as all important areas of graph theory: graph construction operations, invariants, embeddings, and algorithmic graph theory. In addition to being a research tool, Combinatorica makes discrete mathematics accessible in new and exciting ways to a wide variety of people, by encouraging computational experimentation and visualization. The book contains no formal proofs, b...

    • Computational Genomics with R【電子書籍】[ Altuna Akalin ]

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  • ＜p＞Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology.＜/p＞ ＜p＞After reading:＜/p＞ ＜ul＞ ＜li＞You will have the basics of R and be able to dive right into specialized ...

    • Convex Optimization with Computational Errors【電子書籍】[ Alexander J. Zaslavski ]

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  • ＜p＞The book is devoted to the study of approximate solutions of optimization problems in the presence of computational errors. It contains a number of results on the convergence behavior of algorithms in a Hilbert space, which are known as important tools for solving optimization problems. The research presented in the book is the continuation and the further development of the author's (c) 2016 book ＜em＞Numerical Optimization with Computational Errors＜/em＞, Springer 2016. Both books study the algorithms taking into account computational errors which are always present in practice. The main goal is, for a known computational error, to find out what an approximate solution can be obtained and how many iterates one needs for this.＜/p＞ ＜p＞The main difference between this new book and the 2016 book is that in this present book the discussion takes into consideration the fact that for every algorithm, its iteration consists of several steps and that computational errors for dif...

    • Discrete and Computational Geometry【電子書籍】[ Satyan L. Devadoss ]

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  • ＜p＞＜strong＞An essential introduction to discrete and computational geometry＜/strong＞＜/p＞ ＜p＞Discrete geometry is a relatively new development in pure mathematics, while computational geometry is an emerging area in applications-driven computer science. Their intermingling has yielded exciting advances in recent years, yet what has been lacking until now is an undergraduate textbook that bridges the gap between the two. ＜em＞Discrete and Computational Geometry＜/em＞ offers a comprehensive yet accessible introduction to this cutting-edge frontier of mathematics and computer science.＜/p＞ ＜p＞This book covers traditional topics such as convex hulls, triangulations, and Voronoi diagrams, as well as more recent subjects like pseudotriangulations, curve reconstruction, and locked chains. It also touches on more advanced material, including Dehn invariants, associahedra, quasigeodesics, Morse theory, and the recent resolution of the Poincar? conjecture. Connections to real-wo...

    • Computational BIM with Dynamo+Revit Dynamo＋RevitではじめるコンピュテーショナルBIM [ 石津優子 ]

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  • Dynamo＋RevitではじめるコンピュテーショナルBIM 石津優子 ビー・エヌ・エヌコンピュテーショナルビムウィズダイナモプラスレヴィット イシヅ　ユウコ 発行年月：2022年04月15日 予約締切日：2022年03月15日 ページ数：420p サイズ：単行本 ISBN：9784802512107 石津優子（イシズユウコ） 神戸大学工学部建築学科卒業。同大学大学院進学中にワシントン大学へ交換留学を経て修了。その後スイス政府奨学生としてETHz　ITA　MAS　CAADを修了。フリーランスとして建築系コンピュテーショナルデザインの経験を積んだのち、リサーチャー兼エンジニアとして竹中工務店、WeWorkにてBIMデータを活用した業務支援ツール開発に携わる。2021年3月、株式会社GELを設立し、代表取締役に就任。iOSアプリ開発やウェブアプリ、アドイン開発等に従事する（本データはこの書籍が刊行された当時に掲載されていたものです） 1　基礎編（Revitのデータ構造とDynamoのしくみ／Revit要素の生成／ロジックを組む／Revit要素の情報取得・編集／外部データとの連携　ほか）／2　応用編（パラメトリックモデリング／ランダム・イメージ／空間分析／効率化／データ連携　ほか） ビジュアルプログラミン...

    • 計算物理学 2 / 原タイトル:Computational Physics 原著第3版の翻訳[本/雑誌] (実践Pythonライブラリー) / R.H.Landau/〔著〕 M.J.Paez/〔著〕 C.C.Bordeianu/〔著〕 小柳義夫/監訳 秋野喜彦/〔ほか〕訳

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  • ご注文前に必ずご確認ください＜商品説明＞＜収録内容＞離散的非線形系のダイナミクス連続的非線形系のダイナミクスフラクタルとランダムな成長モデル熱力学シミュレーションとファインマン経路積分分子動力学シミュレーション偏微分方程式の復習と差分法による静電場の解析熱伝導の解析と時間発展波動方程式1:弦と膜波動方程式2:量子力学の波束、電磁波有限要素法による静電場の解析〔ほか〕＜商品詳細＞商品番号：NEOBK-2225794R. H. Landau / [Cho] M. J. Paez / [Cho] C. C. Bordeianu / [Cho] Koyanagi Yoshio / Kanyaku Akino Yoshihiko / [Hoka] Yaku / Keisan Butsuri Gaku 2 / Hara Title : Computational Physics Gencho Dai3 Han No Honyaku (Jissen Python Library)メディア：本/雑誌重量：540g発売日：2018/04JAN：9784254128932計算物理学 2 / 原タイトル:Computational Physics 原著第3版の翻訳[本/雑誌] (実践Pythonライブラリー) / R.H.Landau/〔著〕 M.J.Paez/〔著〕 C.C.Bordeianu/〔著〕 小柳義夫/監訳 秋野喜彦/〔ほか〕訳2018/04発売
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