Автор: Parikshit Narendra Mahalle , Nancy Ambritta P. , S Название: Foundations of Mathematical Modelling for Engineering Problem Solving ISBN: 9811988277 ISBN-13(EAN): 9789811988271 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.
Автор: Gilhooly Kenneth J Название: Insight and Creativity in Problem Solving ISBN: 1138502472 ISBN-13(EAN): 9781138502475 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There has been an upsurge of research aimed at removing the mystery surrounding insight and creative thinking processes in problem solving. Chapters in this volume converge on a nuanced `dual-process` view of insight and creative thinking. It was originally published as a special issue of Thinking and Reasoning.
Автор: Kedar Nath Das; Jagdish Chand Bansal; Kusum Deep; Название: Soft Computing for Problem Solving ISBN: 9811501831 ISBN-13(EAN): 9789811501838 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.
Описание: Learn how Billionaires, Successful CEOs, Olympic Athletes, and Nobel Prize Winners think differently and use Mental Models to boost productivity, gain professional success, be happier, and develop decision-making skills.
Throughout history, we've used mental models both subconsciously and consciously to make the most historically vital choices for the human race. At the same time, we use mental models to decide what to cook for dinner and how to win arguments with our significant others. While everyone has the ability and everyone has some form of mental model created in their minds, the true masters of problem solving have broken down and perfected hundreds of different mental models to use on all sorts of different issues.
From finances and world crisis to daily schedules and project control, mental models have become commonplace in our worlds. This book will lay out just how to use them, what the most common models are, the best practices, and some examples of how using mental models will increase your productivity, help you reach the best choice when problem solving, and ensure you make positive and poignant decisions every time. Warren Buffet swears by mental models, and they have helped him become the billionaire and famous businessman he is today.
With the circle of confidence, Occam's razor, the 10/10/10 method, the halo effect, and many more, you will have every tool available at your disposal to make those life altering choices. And when you can't find the perfect mental model, this book will lay out how you can begin creating your own. With best practices for better problem solving, productivity, and decision making, your brain will begin to automatically move you toward the ideas you've been searching for. Also, by creating awareness through our extensive list of things to avoid, there is virtually no way that you can fail.
Are you ready to create the future you've always dreamed of? Use the information in this book to master your own mind with the tools readily available and already inside of you.
Whether you are a CEO or a Mom at home, mental models can be pertinent in your own life.
Автор: Zhu Haibin Название: E-CARGO and Role-Based Collaboration ISBN: 1119693063 ISBN-13(EAN): 9781119693062 Издательство: Wiley Рейтинг: Цена: 16466.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: E-CARGO and Role-Based Collaboration
A model for collaboratively solving complex problems
E-CARGO and Role-Based Collaboration offers a unique guide that explains the nature of collaboration, explores an easy-to-follow process of collaboration, and defines a model to solve complex problems in collaboration and complex systems. Written by a noted expert on the topic, the book initiates the study of an effective collaborative system from a novel perspective. The role-based collaboration (RBC) methodology investigates the most important aspects of a variety of collaborative systems including societal-technical systems. The models and algorithms can also be applied across system engineering, production, and management.
The RBC methodology provides insights into complex systems through the use of its core model E-CARGO. The E-CARGO model provides the fundamental components, principles, relationships, and structures for specifying the state, process, and evolution of complex systems. This important book:
Contains a set of concepts, models, and algorithms for the analysis, design, implementation, maintenance, and assessment of a complex system
Presents computational methods that use roles as a primary underlying mechanism to facilitate collaborative activities including role assignment
Explores the RBC methodology that concentrates on the aspects that can be handled by individuals to establish a well-formed team
Offers an authoritative book written by a noted expert on the topic
Written for researchers and practitioners dealing with complex problems in collaboration systems and technologies, E-CARGO and Role-Based Collaboration contains a model to solve real world problems with the help of computer-based systems.
Автор: Fasotti, L. Название: Arithmetical Word Problem Solving After Frontal Lobe Damage ISBN: 9026513089 ISBN-13(EAN): 9789026513084 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Zhang,Ling Название: Quotient Space Based Problem Solving ISBN: 0124103871 ISBN-13(EAN): 9780124103870 Издательство: Elsevier Science Рейтинг: Цена: 13306.00 р. Наличие на складе: Поставка под заказ.
Автор: Robert Thompson; Francis M. Crinella; Jen Yu Название: Brain Mechanisms in Problem Solving and Intelligence ISBN: 1475795505 ISBN-13(EAN): 9781475795509 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Hussein A Abbass, Jiangjun Tang, George Leu Название: Simulation and Computational Red Teaming for Problem Solving ISBN: 1119527171 ISBN-13(EAN): 9781119527176 Издательство: Wiley Рейтинг: Цена: 19158.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An authoritative guide to computer simulation grounded in a multi-disciplinary approach for solving complex problems
Simulation and Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics.
The book's advanced topics demonstrate how modern artificial intelligence and computational intelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of Computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex real-world problems. This important book:
- Demonstrates how computer simulation and Computational Red Teaming support each other for solving complex problems
- Describes the main approaches to modeling real-world phenomena and embedding these models into computer simulations
- Explores how a number of advanced artificial intelligence and computational intelligence concepts are used in conjunction with the fundamental aspects of simulation
Written for researchers and students in the computational modelling and data analysis fields, Simulation and Computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach.
Автор: Kedar Nath Das; Jagdish Chand Bansal; Kusum Deep; Название: Soft Computing for Problem Solving ISBN: 9811500347 ISBN-13(EAN): 9789811500343 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.
Описание: This book clarifies the common misconception that there are no systematic instruments to support ideation, heuristics and creativity. Using a collection of articles from professionals practicing the Theory of Inventive Problem Solving (TRIZ), this book presents an overview of current trends and enhancements within TRIZ in an international context, and shows its different roles in enhancing creativity for innovation in research and practice. Since its first introduction by Genrikh Saulovich Altshuller in 1956 in the USSR, the TRIZ method has been widely used by inventors, design engineers and has become a standard element of innovation support tools in many Fortune 500 companies. However, TRIZ has only recently entered the domain of scientific publications and discussion. This collection of articles is meant as a record of scientific discussion on TRIZ that reflects the most interesting talking points, research interests, results and expectations. Topics such as Creative and Inventive Design, Patent Mining, and Knowledge Harvesting are also covered in this book.
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