numerical methods data analysis (22 Ergebnisse)

Zustand: New.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

paperback. Zustand: Very Good. Bumped edges. Slight scratches to cover. Appears unread, may have minor damage from transit/storage. Next day dispatch from the UK (Mon-Fri). Please contact us with any queries.

Paperback. Zustand: Brand New. 1200 pages. 10.00x7.01x1.81 inches. In Stock.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. 2023. Paperback. . . . . . Books ship from the US and Ireland.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 1200 pages. 10.00x7.01x1.81 inches. In Stock.

Orig. blue cloth. 164 pp.; 24 cm. - (sl. browned, underl. and notes in ink, although good) 550g.

Paperback. Zustand: Brand New. 921 pages. 10.00x7.01x1.93 inches. In Stock.

Zustand: New. pp. 248.

Hardcover. XVI, 535 p. Good condition. The pages are clean and without markings. Slight signs of storage and use. Retired library copy with corresponding markings. Book slightly warped from storage. Spine with tear. Joint loosened. Otherwise, a decent copy. 9783527895632 Sprache: Englisch Gewicht in Gramm: 1500.

Zustand: Gut. Zustand: Gut | Seiten: 924 | Sprache: Englisch | Produktart: Bücher | This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, yoüll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 924 | Sprache: Englisch | Produktart: Bücher | This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, yoüll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 924 | Sprache: Englisch | Produktart: Bücher | This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, yoüll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.

Taschenbuch. Zustand: Neu. Numerical Methods Using Kotlin | For Data Science, Analysis, and Engineering | Li | Taschenbuch | xxii | Englisch | 2023 | Apress | EAN 9781484288252 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Fair. No Jacket. Former library book; Missing dust jacket; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Kartoniert / Broschiert. Zustand: New. Bridges the theoretical underpinnings of modeling to research Illustrates the computational resolution of environmental issues alongside the use of open-source software Provides information on the use of analogue versus digital da.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 475 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Taschenbuch. Zustand: Neu. Neuware - 'Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research questions into appropriate models. Individuals working with data sets or images generated from environmental monitoring centers or satellites will find this book to be a concise guide for analyzing and interpreting their data'--Page 4 of cover.

Hardcover. Zustand: Brand New. 552 pages. 9.75x6.75x1.25 inches. In Stock.

Buch. Zustand: Neu. Neuware - Dieser einzigartige Band führt den Leser in die mathematische Begriffsbildung für komplexe Systeme ein. Er ist ideal für Studenten der Mathematik, Physik, Chemie und Medizin, die sich in ihrem Studium erstmals mit stochastischen dynamischen Systemen beschäftigen. Das Buch stellt praktische Methoden zur Verfügung, um mit solchen Systemen umgehen zu können, und stellt die zugundeliegenden Definitionen und theoretischen Annahmen, wo erforderlich, klar heraus. Im Gegensatz zu anderen Büchern über dieses Gebiet, die oft einen bestimmten Zugang bevorzugen, deckt Stochastical Dynamical Systems eine Vielzahl von stochastischen und statistischen Methoden ab, die für die Untersuchung von komplexen Systemen wie Polymerschmelzen, dem menschlichen Körper und der Atmosphäre absolut notwendig sind. Das Buch behandelt die Datenanalyse ebenso wie Simulationsmethoden für gegebene Modelle. Die ganze Vielfalt der klassischen und neuartigen Begriffe der mathematischen Stochastik wird in einem leicht verständlichen Stil erklärt, so daß die Leser diese Konzepte leicht für die Untersuchung ihrer Daten anwenden können.