Algorithms And Solutions Based On Computer Technology

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Algorithms and Solutions Based on Computer Technology

Author : Carlos Jahn
Publisher :
ISBN 13 : 9783030938734
Total Pages : 0 pages
Book Rating : 4.9/5 (387 download)

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Book Synopsis Algorithms and Solutions Based on Computer Technology by : Carlos Jahn

Download or read book Algorithms and Solutions Based on Computer Technology written by Carlos Jahn and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers compiled from the conference "Algorithms and Computer-Based Solutions" held on June 8-9, 2021 at Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia. The authors of the book are leading scientists from Russia, Germany, Netherlands, Greece, Hungary, Kazakhstan, Portugal, and Poland. The reader finds in the book information from experts on the most interesting trends in digitalization - issues of development and implementation of algorithms, IT and digital solutions for various areas of economy and science, prospects for supercomputers and exo-intelligent platforms; applied computer technologies in digital production, healthcare and biomedical systems, digital medicine, logistics and management; digital technologies for visualization and prototyping of physical objects. The book helps the reader to increase his or her expertise in the field of computer technologies discussed.

Algorithms and Solutions Based on Computer Technology

Author : Carlos Jahn
Publisher : Springer Nature
ISBN 13 : 3030938727
Total Pages : 393 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Algorithms and Solutions Based on Computer Technology by : Carlos Jahn

Download or read book Algorithms and Solutions Based on Computer Technology written by Carlos Jahn and published by Springer Nature. This book was released on 2022-05-03 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers compiled from the conference "Algorithms and Computer-Based Solutions" held on June 8-9, 2021 at Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia. The authors of the book are leading scientists from Russia, Germany, Netherlands, Greece, Hungary, Kazakhstan, Portugal, and Poland. The reader finds in the book information from experts on the most interesting trends in digitalization - issues of development and implementation of algorithms, IT and digital solutions for various areas of economy and science, prospects for supercomputers and exo-intelligent platforms; applied computer technologies in digital production, healthcare and biomedical systems, digital medicine, logistics and management; digital technologies for visualization and prototyping of physical objects. The book helps the reader to increase his or her expertise in the field of computer technologies discussed.

Algorithms and Programming

Author : Alexander Shen
Publisher : Springer Science & Business Media
ISBN 13 : 1441917489
Total Pages : 276 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Algorithms and Programming by : Alexander Shen

Download or read book Algorithms and Programming written by Alexander Shen and published by Springer Science & Business Media. This book was released on 2011-03-23 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is structured in a problem-solution format that requires the student to think through the programming process. New to the second edition are additional chapters on suffix trees, games and strategies, and Huffman coding as well as an Appendix illustrating the ease of conversion from Pascal to C.

The Ethical Algorithm

Author : Michael Kearns
Publisher : Oxford University Press
ISBN 13 : 0190948221
Total Pages : 288 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis The Ethical Algorithm by : Michael Kearns

Download or read book The Ethical Algorithm written by Michael Kearns and published by Oxford University Press. This book was released on 2019-10-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

Machine Learning Algorithms and Applications

Author : Mettu Srinivas
Publisher : John Wiley & Sons
ISBN 13 : 1119768853
Total Pages : 372 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Algorithms and Applications by : Mettu Srinivas

Download or read book Machine Learning Algorithms and Applications written by Mettu Srinivas and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

Algorithmic Problem Solving

Author : Roland Backhouse
Publisher : John Wiley & Sons
ISBN 13 : 0470684534
Total Pages : 434 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Algorithmic Problem Solving by : Roland Backhouse

Download or read book Algorithmic Problem Solving written by Roland Backhouse and published by John Wiley & Sons. This book was released on 2011-10-24 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms!

Machine Learning and Big Data

Author : Uma N. Dulhare
Publisher : John Wiley & Sons
ISBN 13 : 1119654742
Total Pages : 544 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Machine Learning and Big Data by : Uma N. Dulhare

Download or read book Machine Learning and Big Data written by Uma N. Dulhare and published by John Wiley & Sons. This book was released on 2020-09-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.

Data Analysis and Optimization for Engineering and Computing Problems

Author : Pandian Vasant
Publisher : Springer Nature
ISBN 13 : 3030481492
Total Pages : 280 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Data Analysis and Optimization for Engineering and Computing Problems by : Pandian Vasant

Download or read book Data Analysis and Optimization for Engineering and Computing Problems written by Pandian Vasant and published by Springer Nature. This book was released on 2020-09-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.

Machine Learning for Computer and Cyber Security

Author : Brij B. Gupta
Publisher : CRC Press
ISBN 13 : 0429995725
Total Pages : 352 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Machine Learning for Computer and Cyber Security by : Brij B. Gupta

Download or read book Machine Learning for Computer and Cyber Security written by Brij B. Gupta and published by CRC Press. This book was released on 2019-02-05 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.

Algorithms

Author : Trust Genics
Publisher : Independently Published
ISBN 13 : 9781088400418
Total Pages : 194 pages
Book Rating : 4.4/5 (4 download)

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Book Synopsis Algorithms by : Trust Genics

Download or read book Algorithms written by Trust Genics and published by Independently Published. This book was released on 2019-08-05 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover How Algorithms Shape & Impact Our World Now you might look at this title and shy away, thinking that a book with "Algorithms" in its title must be just for techies and computer scientists. However this book is very accessible to those with no background in computer science. Decisions Oftentimes Have Optimal Solutions Today, many decisions that could be made by human beings from predicting earthquakes to interpreting languages can now be made by computer algorithms with advanced analytic capabilities. Everyday we make millions of decisions from selecting a life partner, to organizing your closet, to scheduling your life, to having a conversation. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Studies continue to show that the algorithms can do a better job than experts in a range of fields. Artificial intelligence is reshaping healthcare, science, engineering and life. The results will make our lives more productive, better organized, and essentially, much happier. Everywhere you look, artificial intelligence is beginning to permeate all types of industries and expectations are that it will continue to grow in the future. Imagine The Possibilities More Accurate Medical Diagnoses Better Military Strategies That Could Save Lives Detect Abnormal Genes In An Unborn Child Predict Changes In Weather and Earthquake Safer Self-Driving Cars That Have Learned Your Personal Preferences Analyze DNA Samples & Identify Potential Medical Risks Smart Homes That Will Anticipate Your Every Needs Predicting Where Cyber Hackers & Online Threats May Occur This is a must read for anyone interested in what our digital future looks like. Start Reading Today

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Author : Kulkarni, Siddhivinayak
Publisher : IGI Global
ISBN 13 : 1466618345
Total Pages : 464 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques by : Kulkarni, Siddhivinayak

Download or read book Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques written by Kulkarni, Siddhivinayak and published by IGI Global. This book was released on 2012-06-30 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Quantum Computing Solutions

Author : Bhagvan Kommadi
Publisher : Apress
ISBN 13 : 9781484265154
Total Pages : 300 pages
Book Rating : 4.2/5 (651 download)

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Book Synopsis Quantum Computing Solutions by : Bhagvan Kommadi

Download or read book Quantum Computing Solutions written by Bhagvan Kommadi and published by Apress. This book was released on 2021-01-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines. Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle. Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail. The book presents code samples based on real-life problems in a variety of industries, such as risk assessment and fraud detection in banking. In pharma, you will look at drug discovery and protein-folding solutions. Supply chain optimization and purchasing solutions are presented in the manufacturing domain. In the area of utilities, energy distribution and optimization problems and solutions are explained. Advertising scheduling and revenue optimization solutions are included from media and technology verticals. What You Will Learn Understand the mathematics behind quantum computing Know the solution benefits, such as automation, cost reduction, and efficiencies Be familiar with the quantum subsystems and properties, including states, protocols, operations, and transformations Be aware of the quantum classification algorithms: classifiers, and support and sparse support vector machines Use AI algorithms, including probability, walks, search, deep learning, and parallelism Who This Book Is For Developers in Python and other languages interested in quantum solutions. The secondary audience includes IT professionals and academia in mathematics and physics. A tertiary audience is those in industry verticals such as manufacturing, banking, and pharma.

High-Performance Scientific Computing

Author : Michael W. Berry
Publisher : Springer Science & Business Media
ISBN 13 : 1447124367
Total Pages : 351 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis High-Performance Scientific Computing by : Michael W. Berry

Download or read book High-Performance Scientific Computing written by Michael W. Berry and published by Springer Science & Business Media. This book was released on 2012-01-18 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.

Deep Learning Systems

Author : Andres Rodriguez
Publisher : Springer Nature
ISBN 13 : 3031017692
Total Pages : 245 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning Systems by : Andres Rodriguez

Download or read book Deep Learning Systems written by Andres Rodriguez and published by Springer Nature. This book was released on 2022-05-31 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency. Advancing DL systems generally involves three types of engineers: (1) data scientists that utilize and develop DL algorithms in partnership with domain experts, such as medical, economic, or climate scientists; (2) hardware designers that develop specialized hardware to accelerate the components in the DL models; and (3) performance and compiler engineers that optimize software to run more efficiently on a given hardware. Hardware engineers should be aware of the characteristics and components of production and academic models likely to be adopted by industry to guide design decisions impacting future hardware. Data scientists should be aware of deployment platform constraints when designing models. Performance engineers should support optimizations across diverse models, libraries, and hardware targets. The purpose of this book is to provide a solid understanding of (1) the design, training, and applications of DL algorithms in industry; (2) the compiler techniques to map deep learning code to hardware targets; and (3) the critical hardware features that accelerate DL systems. This book aims to facilitate co-innovation for the advancement of DL systems. It is written for engineers working in one or more of these areas who seek to understand the entire system stack in order to better collaborate with engineers working in other parts of the system stack. The book details advancements and adoption of DL models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets. Unique in this book is the holistic exposition of the entire DL system stack, the emphasis on commercial applications, and the practical techniques to design models and accelerate their performance. The author is fortunate to work with hardware, software, data scientist, and research teams across many high-technology companies with hyperscale data centers. These companies employ many of the examples and methods provided throughout the book.

Cognitive Computing Models in Communication Systems

Author : Budati Anil Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119865581
Total Pages : 245 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Cognitive Computing Models in Communication Systems by : Budati Anil Kumar

Download or read book Cognitive Computing Models in Communication Systems written by Budati Anil Kumar and published by John Wiley & Sons. This book was released on 2022-10-10 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: COGNITIVE COMPUTING MODELS IN COMMUNICATION SYSTEMS A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions. The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area. The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques. Readers will find in this succinctly written and unique book: Topics covering the applications of advanced cognitive devices, models, architecture, and techniques. A range of case studies and applications that will provide readers with the tools to apply cutting-edge models and algorithms. In-depth information about new cognitive computing models and conceptual frameworks and their implementation. Audience The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.

Modeling Approaches and Algorithms for Advanced Computer Applications

Author : Abdelmalek Amine
Publisher : Springer
ISBN 13 : 9783319005614
Total Pages : 440 pages
Book Rating : 4.0/5 (56 download)

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Book Synopsis Modeling Approaches and Algorithms for Advanced Computer Applications by : Abdelmalek Amine

Download or read book Modeling Approaches and Algorithms for Advanced Computer Applications written by Abdelmalek Amine and published by Springer. This book was released on 2013-05-04 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: "During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belonging to the large panoply of solutions offered by computational intelligence such as data mining, genetic algorithms, bio-inspired methods, Bayesian networks, machine learning, fuzzy logic, artificial neural networks, etc. or inspired by computational intelligence techniques to develop new ad-hoc algorithms for the problem under consideration. This volume is a comprehensive collection of extended contributions from the 4th International Conference on Computer Science and Its Applications (CIIA’2013) organized into four main tracks: Track 1: Computational Intelligence, Track 2: Security & Network Technologies, Track 3: Information Technology and Track 4: Computer Systems and Applications. This book presents recent advances in the use and exploitation of computational intelligence in several real world hard problems covering these tracks such as image processing, Arab text processing, sensor and mobile networks, physical design of advanced databases, model matching, etc. that require advanced approaches and algorithms borrowed from computational intelligence for solving them.

Scientific Computing and Algorithms in Industrial Simulations

Author : Michael Griebel
Publisher : Springer
ISBN 13 : 331962458X
Total Pages : 371 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Scientific Computing and Algorithms in Industrial Simulations by : Michael Griebel

Download or read book Scientific Computing and Algorithms in Industrial Simulations written by Michael Griebel and published by Springer. This book was released on 2017-10-30 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions gathered here provide an overview of current research projects and selected software products of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI. They show the wide range of challenges that scientific computing currently faces, the solutions it offers, and its important role in developing applications for industry. Given the exciting field of applied collaborative research and development it discusses, the book will appeal to scientists, practitioners, and students alike. The Fraunhofer Institute for Algorithms and Scientific Computing SCAI combines excellent research and application-oriented development to provide added value for our partners. SCAI develops numerical techniques, parallel algorithms and specialized software tools to support and optimize industrial simulations. Moreover, it implements custom software solutions for production and logistics, and offers calculations on high-performance computers. Its services and products are based on state-of-the-art methods from applied mathematics and information technology.