The science of systems requires a specific and constructive mathematical model and language which would describe jointly such systemic categories as adaptation, self-organization, complexity, and bring the applied too...
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The science of systems requires a specific and constructive mathematical model and language which would describe jointly such systemic categories as adaptation, self-organization, complexity, and bring the applied tools for building a system model for each specific object of a diverse nature. This formalism should be connected directly with a world of information and computer applications of a systemic model, developed for a particular object. The aim of the considered information systems theory (IST) is to build a bridge between the mathematical systemic formalism and information technologies. The objective is to develop a constructive systemic model of revealing information regularities and specific information code for each object. To fulfill the goal and the considered systems' definition, the IST joins two main concepts. First is the unified information description of the different nature's interacted flows, with a common information language and systems modeling methodology, applied to distinct interdisciplinary objects. Second is the general system's information formalism for building the model, which allows expressing mathematically the system's regularities and main systemic mechanisms. This formalism is represented by informational macrodynamics (IMDs), which reveals the system model's main layers: microlevel stochastics, macrolevel dynamics, hierarchical dynamic network (IN) of information structures, its minimal logic, and optimal code of communication language, generated by the IN hierarchy, dynamics, and geometry. The system's complex dynamics originate information geometry and evolution with the functional information mechanisms of ordering, cooperation, mutation, stability, diversity, adaptation, self-organization, and the double helix's genetic code. The developed IMD's theoretical computer-based methodology and software has been applied to such areas as technology, communications, computer science, intelligent processes, biology, economy management
Sharpen your knowledge of C# C# know-how is a must if you want to be a professional Microsoft developer. It's also good to know a little C# if you're building tools for the web, mobile apps, or other developme...
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ISBN:
(数字)9781119428121
ISBN:
(纸本)9781119428114
Sharpen your knowledge of C# C# know-how is a must if you want to be a professional Microsoft developer. It's also good to know a little C# if you're building tools for the web, mobile apps, or other development tasks. C# 7.0 All-in-One For Dummies offers a deep dive into C# for coders still learning the nuances of the valuable programming language. Pop it open to get an intro into coding with C#, how to design secure apps and databases, and even pointers on building web and mobile apps with C#. C# remains one of the most in-demand programming language skills. The language regularly ranks in the top five among "most in-demand" languages, typically along with Java/JavaScript, C++, and Python. A December 2016 ZDNet article noted 'If your employer is a Microsoft developer, you better know C#." Lucky for you, this approachable, all-in-one guide is here to help you do just that—without ever breaking a sweat! Includes coverage of the latest changes to C# Shows you exactly what the language can (and can't) do Presents familiar tasks that you can accomplish with C# Provides insight into developing applications that provide protection against hackers If you have a basic understanding of coding and need to learn C#—or need a reference on the language in order to launch or further your career—look no further.
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