Andreyev sergey (28 risultati)

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Paperback or Softback. Condizione: New. User-Driven Applications for Research and Science: Building Programs for Fields with Open Scenarios and Unpredictable User Actions. Book.

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Condizione: New. 2020. Paperback. . . . . .

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Condizione: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: Brand New. 527 pages. 9.75x6.75x1.25 inches. In Stock.

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Condizione: New. 1st ed. edition NO-PA16APR2015-KAP.

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Condizione: New. pp. 116.

Taschenbuch. Condizione: Neu. User-Driven Applications for Research and Science | Building Programs for Fields with Open Scenarios and Unpredictable User Actions | Sergey Andreyev | Taschenbuch | xxix | Englisch | 2020 | Apress | EAN 9781484264874 | 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.…

Taschenbuch. Condizione: Neu. Regularizing algorithms for diagnosing | Applied to gas turbine engines in operation | Sergey Andreyev (u. a.) | Taschenbuch | 116 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659496004 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Build programs that give users full control of their applications in order to meet end users' unique needs and scenarios.Over the last couple of decades, there has been an ongoing quandary in the developer world.Developers are enlisted to build applications to meet users' demands; users get applications that meet the criteria from the developers' point of view, but they are far from what the users envisioned.The difference is often wide and nearly catastrophic in fields where users' actions are nearly impossible to predict, such as science, research work, financial analysis, and others. End users get frustrated with the applications because they were not built with their use cases in mind.For a long time, it was assumed that the developers who created the code should drive their programs and be responsible for all scenarios.While generally not an issue in simple programs, this view is wrong for complex applications in the field of science.These end users are the best specialists in their respective fields and need applications to work beyond the scenarios prepared and allowed for by developers.This book teaches you methods to manage your applications in a way that gives control to your target end users. You will learn proven methods using an easy and predictable instrument, the all-powerful algorithm, to create objects that are movable and re-sizable by users.Get ready to learn by example, using an algorithm of total movability and experience, implemented in different situations. You will begin with the simplest code examples and work your way up to real, complicated programs applicable in STEM fields.What You Will LearnPass the control of your programs from developers to end usersUnderstand that the most valuable result is not the algorithm itself, but the consequence of using itBuild user-driven applications that include total movability of screen elementsSee concepts applied in real situations and scenariosBe exposed to well-known programs and tasks for developing user-driven applicationsAccess accompanying code written in C# and available on GitHubWho This Book Is ForDevelopers who want to write or design programs that give their target end users full control over their application 560 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this work several approaches of a stable method for construction of the diagnostic matrix for gas turbine engine are being researched, when initial data are given inexactly, and their maximal deviation estimation is known. The essence of the problem is the following: the equations in minor deviations describing the gas turbine engine give us system of linear algebraic equations AC=B, where the matrix C is called a diagnostic matrix, the matrix A components comprise the coefficients of the calculated parameters, and the matrix B components comprise the coefficients of measured parameters. However, as a rule the matrix A is sparse and ill-conditioned matrix, so there is a problem of stable inversion, as a result the problem becomes ill-posed. Therefore, methods of ill-posed problem theory are used: normal pseudosolution is searched instead of an exact solution (it is important to note that normal pseudosolution is not always approximates to the exact one) using classical Tikhonov's regularization method, however, that method causes inherent obstacles, which possible solutions are discovered. There are described 3 approaches of finding the regularization parameter. 116 pp. Englisch.…

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Covers construction elements for new application designIncorporates an algorithm as an instrument to develop user-driven applications for STEMIntroduces a philosophical approach to getting much more out of a.…

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Condizione: New. Print on Demand pp. 116 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build programs that give users full control of their applications in order to meet end users' unique needs and scenarios.Over the last couple of decades, there has been an ongoing quandary in the developer world.Developers are enlisted to build applications to meet users' demands; users get applications that meet the criteria from the developers' point of view, but they are far from what the users envisioned.The difference is often wide and nearly catastrophic in fields where users' actions are nearly impossible to predict, such as science, research work, financial analysis, and others. End users get frustrated with the applications because they were not built with their use cases in mind.For a long time, it was assumed that the developers who created the code should drive their programs and be responsible for all scenarios.While generally not an issue in simple programs, this view is wrong for complex applications in the field of science.These end users are the best specialists in their respective fields and need applications to work beyond the scenarios prepared and allowed for by developers.This book teaches you methods to manage your applications in a way that gives control to your target end users. You will learn proven methods using an easy and predictable instrument, the all-powerful algorithm, to create objects that are movable and re-sizable by users.Get ready to learn by example, using an algorithm of total movability and experience, implemented in different situations. You will begin with the simplest code examples and work your way up to real, complicated programs applicable in STEM fields.What You Will LearnPass the control of your programs from developers to end usersUnderstand that the most valuable result is not the algorithm itself, but the consequence of using itBuild user-driven applications that include total movability of screen elementsSee concepts applied in real situations and scenariosBe exposed to well-known programs and tasks for developing user-driven applicationsAccess accompanying code written in C# and available on GitHubWho This Book Is ForDevelopers who want to write or design programs that give their target end users full control over their application.…

Condizione: New. PRINT ON DEMAND pp. 116.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Build programs that give users full control of their applications in order to meet end users' unique needs and scenarios.Over the last couple of decades, there has been an ongoing quandary in the developer world. Developers are enlisted to build applications to meet users' demands; users get applications that meet the criteria from the developers' point of view, but they are far from what the users envisioned. The difference is often wide and nearly catastrophic in fields where users' actions are nearly impossible to predict, such as science, research work, financial analysis, and others. End users get frustrated with the applications because they were not built with their use cases in mind. For a long time, it was assumed that the developers who created the code should drive their programs and be responsible for all scenarios. While generally not an issue in simple programs, this view is wrong for complex applications in the field of science. These end users are the best specialists in their respective fields and need applications to work beyond the scenarios prepared and allowed for by developers.This book teaches you methods to manage your applications in a way that gives control to your target end users. You will learn proven methods using an easy and predictable instrument, the all-powerful algorithm, to create objects that are movable and re-sizable by users.Get ready to learn by example, using an algorithm of total movability and experience, implemented in different situations. You will begin with the simplest code examples and work your way up to real, complicated programs applicable in STEM fields.What You Will LearnPass the control of your programs from developers to end usersUnderstand that the most valuable result is not the algorithm itself, but the consequence of using itBuild user-driven applications that include total movability of screen elementsSee concepts applied in real situations and scenariosBe exposed to well-known programs and tasks for developing user-driven applicationsAccess accompanying code written in C# and available on GitHubSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 560 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this work several approaches of a stable method for construction of the diagnostic matrix for gas turbine engine are being researched, when initial data are given inexactly, and their maximal deviation estimation is known. The essence of the problem is the following: the equations in minor deviations describing the gas turbine engine give us system of linear algebraic equations AC=B, where the matrix C is called a diagnostic matrix, the matrix A components comprise the coefficients of the calculated parameters, and the matrix B components comprise the coefficients of measured parameters. However, as a rule the matrix A is sparse and ill-conditioned matrix, so there is a problem of stable inversion, as a result the problem becomes ill-posed. Therefore, methods of ill-posed problem theory are used: normal pseudosolution is searched instead of an exact solution (it is important to note that normal pseudosolution is not always approximates to the exact one) using classical Tikhonov's regularization method, however, that method causes inherent obstacles, which possible solutions are discovered. There are described 3 approaches of finding the regularization parameter.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this work several approaches of a stable method for construction of the diagnostic matrix for gas turbine engine are being researched, when initial data are given inexactly, and their maximal deviation estimation is known. The essence of the problem is the following: the equations in minor deviations describing the gas turbine engine give us system of linear algebraic equations AC=B, where the matrix C is called a diagnostic matrix, the matrix A components comprise the coefficients of the calculated parameters, and the matrix B components comprise the coefficients of measured parameters. However, as a rule the matrix A is sparse and ill-conditioned matrix, so there is a problem of stable inversion, as a result the problem becomes ill-posed. Therefore, methods of ill-posed problem theory are used: normal pseudosolution is searched instead of an exact solution (it is important to note that normal pseudosolution is not always approximates to the exact one) using classical Tikhonov's regularization method, however, that method causes inherent obstacles, which possible solutions are discovered. There are described 3 approaches of finding the regularization parameter.…