Products related to Deterministic:
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Deterministic and Stochastic Optimal Control and Inverse Problems
Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications.A related problem of paramount importance is the optimal control problem for stochastic differential equations.This edited volume comprises invited contributions from world-renowned researchers in the subject of control and inverse problems.There are several contributions on optimal control and inverse problems covering different aspects of the theory, numerical methods, and applications.Besides a unified presentation of the most recent and relevant developments, this volume also presents some survey articles to make the material self-contained.To maintain the highest level of scientific quality, all manuscripts have been thoroughly reviewed.
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Graph Coloring : From Games to Deterministic and Quantum approaches
This book explores the problem of minimal valid graph coloring, first in the form of games and then of resolution algorithms.Emphasis is placed on deterministic, guaranteed and non-guaranteed methods.Stochastic methods are then just mentioned because they are already widely described in previous publications. The study then details a general quantum algorithm of polynomial complexity.A final chapter provides elements of reflection on diplomatic algorithms that, for the problem of coloring under resource constraints, seek a compromise minimizing frustrations.The appendix includes some mathematical additions and the source codes of the main algorithms presented, in particular the one of the quantum method.
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Innovation Competency Model : Shaping Faculty Academic Innovation Development in China's Higher Education
Contributing to the discussion over China's higher education development, this book takes a theoretical approach to address the topic of university academics' innovation by introducing an academic innovation competency model, exploring the contexts, concepts and practices.The innovation competency model comprises three interdependent dimensions, including the academic internal drive vitality, the academic synthesizing refined ability and the academic suspected and introspective ability.By enriching the theory of professional development of university teachers, these three dimensions will help advance the reform of college personnel systems and ultimately improve the quality of China's higher education. The book will be valuable to researchers, students and stakeholders hoping to learn about education reform in China, or to those who study higher education management and comparative education.
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Digital Holocaust Memory, Education and Research
This book explores the diverse range of practical and theoretical challenges and possibilities that digital technologies and platforms pose for Holocaust memory, education and research.From social media to virtual reality, 360-degree imaging to machine learning, there can be no doubt that digital media penetrate practice in these fields.As the Holocaust moves beyond living memory towards solely mediated memory, it is imperative that we pay critical attention to the way digital technologies are shaping public memory and education and research.Bringing together the voices of heritage and educational professionals, and academics from the arts and humanities and the social sciences, this interdisciplinary collection explores the practicalities of creating digital Holocaust projects, the educational value of such initiatives, and considers the extent to which digital technologies change the way we remember, learn about and research the Holocaust, thinking through issues such as ethics, embodiment, agency, community, and immersion.At its core, this volume interrogates the extent to which digital interventions in these fields mark an epochal shift in Holocaust memory, education and research, or whether they continue to be shaped by long-standing debates and guidelines developed in the broadcast era.
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What is an example of a non-deterministic but deterministic algorithm?
An example of a non-deterministic but deterministic algorithm is the Monte Carlo algorithm. In this algorithm, random choices are made during the computation, but the final result is deterministic and always the same for a given input. The randomness is used to simplify the algorithm or make it more efficient, but the outcome is predictable and consistent.
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What is the difference between non-deterministic and deterministic finite automata?
The main difference between non-deterministic finite automata (NFA) and deterministic finite automata (DFA) lies in their transition function. In an NFA, there can be multiple transitions from a single state on the same input symbol, while in a DFA, there can only be one transition from a state on a particular input symbol. This means that NFAs can have multiple possible paths for a given input string, while DFAs have only one unique path for any input string. As a result, NFAs are generally more flexible and expressive, but DFAs are easier to analyze and implement.
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Is the universe deterministic?
The question of whether the universe is deterministic is a complex and debated topic in physics and philosophy. Determinism is the idea that every event or state of affairs, including every human decision and action, is the inevitable and necessary consequence of preceding events. In the context of quantum mechanics, there is debate about whether the universe is truly deterministic or if there is inherent randomness at the fundamental level. Some interpretations of quantum mechanics suggest that there is inherent indeterminacy at the quantum level, while others argue that there may be hidden variables that could potentially restore determinism. Overall, the question of whether the universe is deterministic remains an open and ongoing area of inquiry in science and philosophy.
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What is deterministic demand forecasting?
Deterministic demand forecasting is a method of predicting future demand for a product or service based on historical data and known factors without considering any randomness or variability. It assumes that future demand can be accurately forecasted using precise data and deterministic models. This approach is often used when demand patterns are stable and predictable, making it easier to forecast future demand with a high degree of certainty. However, deterministic forecasting may not account for unexpected events or changes in market conditions that could impact demand.
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Rethinking Education for Sustainable Development : Research, Policy and Practice
This book explores how education can be used as a tool to promote sustainability practices as the world faces huge challenges related to climate change and public health.The chapters consider all types of literacy approaches that fall under the umbrella of Education for Sustainable Development (ESD).These approaches include scientific literacy, ecological literacy, health literacy, education on climate change and climate resilience, environmental education and others linking education, global health, and the environment more broadly. “Education” is used in the widest sense to incorporate non-formal, informal and formal/school settings.This volume will help to bring these interconnected areas together and interrogate their research methods, assumptions, field-based application and their policy potential.Taking a critical approach to ESD, the book suggests new pedagogies, tools, and technologies to strengthen the way we educate about sustainability issues and go beyond the current thinking about ESD.The book includes a foreword by Jeffrey Sachs, Director of the Center for Sustainable Development at Columbia University, USA.
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Gender Differences in Technology and Innovation Management : Insights from Experimental Research
Even though the number of working women has steadily increased over the last few years, women are still significantly under-represented in STEM activities (i.e. mathematics, informatics, science and technology). In order to eliminate this under-representation, numerous education policies and corporate initiatives, particularly in the recent past, have been aimed at increasing women's enthusiasm for STEM activities and professions.According to the latest surveys, however, it is clear that these efforts have not yet led to the desired success.Compared to their male counterparts, women continue to do fewer STEM activities. One possible reason for this is that relatively little is yet known about the concrete impact of the above education policies on working with innovation and technology: What are the gender differences between women and men?Is it enough to recognize these differences, or should these differences ideally not only be recognized, but also treated appropriately or even encouraged? This anthology deals with current topics in technology and innovation management against the background of these and other gender-relevant aspects.Empirical analyses and experiments in collaboration with companies from various sectors provide a sound scientific basis on which new results and findings are presented: How do women and men deal with creativity and competition?How are technologies applied and how can differences in access to technology be deduced? Answers to these and other questions help decision-makers in politics and business to proactively use the differences between women and men to motivate women to work in the STEM field and to strengthen them by acknowledging existing differences.
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Science, Technology And Innovation Indicators : Lessons from the Development Experience in Africa
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Development, Education and Learning in Sri Lanka : An International Research Journey
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Can religious breakdowns be deterministic?
Religious breakdowns can be influenced by a variety of factors, including personal beliefs, experiences, and external circumstances. While certain factors may increase the likelihood of a religious breakdown occurring, it is not necessarily deterministic. Individuals have the ability to make choices and engage in self-reflection that can impact their religious beliefs and practices. Ultimately, the process of a religious breakdown is complex and can vary greatly from person to person.
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Can religious dissection be deterministic?
Religious dissection can be deterministic in the sense that certain religious beliefs or doctrines may dictate specific actions or beliefs that followers must adhere to. These beliefs can shape an individual's worldview and guide their decisions and behaviors in a predetermined manner. However, it is important to note that not all religious beliefs are deterministic, as some religions also emphasize free will and personal choice. Ultimately, the extent to which religious dissection is deterministic depends on the specific teachings and interpretations within a particular religious tradition.
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Can religious beliefs be deterministic?
Religious beliefs can sometimes be deterministic in the sense that they provide a framework for understanding the world and one's place in it. Some religions teach that certain events are predestined or guided by a higher power, which can influence individuals to believe that their lives are predetermined. However, not all religious beliefs are deterministic, as some emphasize free will and personal choice. Ultimately, the extent to which religious beliefs are deterministic varies depending on the specific teachings and interpretations of each religion.
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How do you create a deterministic finite automaton from a non-deterministic pushdown automaton?
To create a deterministic finite automaton (DFA) from a non-deterministic pushdown automaton (PDA), we can use the subset construction method. This involves creating a state in the DFA for each possible combination of states in the PDA. The transitions in the DFA are determined by simulating the behavior of the PDA on each input symbol. If the PDA can be in multiple states at a given time, the DFA will have a state for each combination of those states. The final states of the DFA are determined by whether any of the PDA's possible states are final states. This process results in a deterministic finite automaton that simulates the behavior of the original non-deterministic pushdown automaton.
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