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Record Nr. |
UNINA9910917784703321 |
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Autore |
Devezas Tessaleno |
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Titolo |
Global Energy Transition and Sustainable Development Challenges, Vol. 1 : Models and Regions / / edited by Tessaleno Devezas, João Leitão, Askar Sarygulov, David J. LePoire, Bulat Khusainov |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (219 pages) |
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Collana |
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World-Systems Evolution and Global Futures, , 2522-0993 |
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Altri autori (Persone) |
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LeitãoJoão |
SarygulovAskar |
LePoireDavid J |
KhusainovBulat |
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Disciplina |
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Soggetti |
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Energy policy |
Power resources |
Environmental policy |
Economic development |
Electric power distribution |
Energy System Transformation |
Natural Resource and Energy Economics |
Environmental Policy |
Economic Growth |
Energy Policy, Economics and Management |
Energy Grids and Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. The Greening of the Global South? Analyzing World Values Survey and European Values Survey Data on Environmental Movements in 88 Countries and Territories From 2017-2021 -- Chapter 2. Creative Regulatory Environments: Sandboxes at the Intersection of Regulation and Innovation in an Era of Transition -- Chapter 3. Examining the Behavior of the Kuznets Curve Under Economic Policy Uncertainty Conditions Using the Stochastic Frontier Analysis: Evidence From Eleven |
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Selected Countries -- Chapter 4. Carbon Intensity of Products Under the EU CBAM: Assessment of Russia’s Competitiveness Based on Inter-country Analysis -- Chapter 5. Inclusive Growth of National Economies and New Energy Paradigm -- Chapter 6. Solutions to the Problems of Transition to Green Energy in Kazakhstan -- Chapter 7. How Natural Resources, Corruption, Globalization and Co2 Emissions Affect the Economic Growth in Europe? -- Chapter 8. The Problem of Regional Energy Scarcity in Europe -- Chapter 9. Policy, Market, and Skills Barriers to Heat Pump Deployment in the United Kingdom -- Chapter 10. Paving the Way for Sustainable Development in Small Island Developing States: Insights From Cape Verde's Energy Transitions. |
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Sommario/riassunto |
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This two-volume book presents the challenges of the global energy transition, offering a comprehensive exploration of the policies and drivers shaping the pace and trajectory of this transformation. Highlighting regional development, the book shows how different models and scenarios of energy transition emerge. It discusses important factors, such as materials and technologies, shedding light on the opportunities and constraints for the energy transition. Global warming and climate change influenced the change in people’s consciousness and their awareness of the need for more limited use of hydrocarbon resources. Changes in weather conditions, rising sea levels, and destructive climate events such as hurricanes, forest fires, droughts, floods, etc. have become more frequent. Many countries around the world, reacting to these changes, have developed long-term plans to actively replace fossil fuels - gas, oil, and coal with renewable energy sources, mainly solar and wind. However, the low replacement rates observed in the global energy sector over the past 30 years raise the question of how far the decarbonization scenarios and models being implemented by many countries bring us closer to the ultimate goal of creating an economy with a low carbon footprint. Seeking answers, the volumes feature 22 chapters split across the two books, which in detail discuss various aspects of the energy transition and their impact on the sustainability of economic development and the future of energy. This first volume, "Models and Regions," focuses on regional disparities and economic drivers, presenting case studies from different regions in 10 chapters. |
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2. |
Record Nr. |
UNINA9910254290603321 |
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Autore |
Gentle James E |
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Titolo |
Matrix Algebra : Theory, Computations and Applications in Statistics / / by James E. Gentle |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[2nd ed. 2017.] |
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Descrizione fisica |
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1 online resource (XXIX, 648 p. 40 illus.) |
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Collana |
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Springer Texts in Statistics, , 2197-4136 |
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Disciplina |
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Soggetti |
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Statistics |
Algebra |
Mathematical statistics - Data processing |
Computer science - Mathematics |
Mathematical statistics |
Mathematics - Data processing |
Numerical analysis |
Statistical Theory and Methods |
Statistics and Computing |
Probability and Statistics in Computer Science |
Computational Mathematics and Numerical Analysis |
Numerical Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Part I Linear Algebra -- 1 Basic Vector/Matrix Structure and Notation -- 2 Vectors and Vector Spaces -- 3 Basic Properties of Matrices -- 4 Vector/Matrix Derivatives and Integrals -- 5 Matrix Transformations and Factorizations -- 6 Solution of Linear Systems -- 7 Evaluation of Eigenvalues and Eigenvectors -- Part II Applications in Data Analysis -- 8 Special Matrices and Operations Useful in Modeling andData Analysis -- 9 Selected Applications in Statistics -- Part III Numerical Methods and Software -- 10 Numerical Methods -- 11 Numerical Linear Algebra -- 12 Software for Numerical Linear Algebra -- Appendices and Back |
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Matter -- Bibliography -- Index. |
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Sommario/riassunto |
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This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides essential updates and comprehensive coverage on critical topics in mathematics in data science and in statistical theory. Part I offers a self-contained description of relevant aspects of the theory of matrix algebra for applications in statistics. It begins with fundamental concepts of vectors and vector spaces; covers basic algebraic properties of matrices and analytic properties of vectors and matrices in multivariate calculus; and concludes with a discussion on operations on matrices in solutions of linear systems and in eigenanalysis. Part II considers various types of matricesencountered in statistics, such as projection matrices and positive definite matrices, and describes special properties of those matrices; and describes various applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. Part III covers numerical linear algebra—one of the most important subjects in the field of statistical computing. It begins with a discussion of the basics of numerical computations and goes on to describe accurate and efficient algorithms for factoring matrices, how to solve linear systems of equations, and the extraction of eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. This part is essentially self-contained, although it assumes some ability to program in Fortran or C and/or the ability to use R or Matlab. The first two parts of the text are ideal for a course in matrix algebra for statistics students or as a supplementary text for various courses in linear models or multivariate statistics. The third part is ideal for use as a text for a course in statistical computing or as a supplementary text for various courses that emphasize computations. New to this edition • 100 pages of additional material • 30 more exercises—186 exercises overall • Added discussion of vectors and matrices with complex elements • Additional material on statistical applications • Extensive and reader-friendly cross references and index. |
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