Noguchi makoto (41 resultados)

Hardcover. Condición: Fine. 1st Edition. xi, 217 pages : illustrations ; 24 cm. Contents: Preface / Costas Lapavitsas -- Introduction : globalism and developmentalism / Makoto Noguchi -- 1. Beyond the developmental state : towards a political economy of development / Ben Fine -- 2. Can Asia find its own way of development? : corporate governance, system conflict and financial crisis / Makoto Noguchi -- 3. Argentina : a decade of the convertibility regime / Roberto Frenkel -- 4. State and development in Korea after the Asian crisis / Dae-Hwan Kim -- 5. Intellectual property rights and national innovation systems : lessons from Mexico and Korea / Jaime Aboites and Mario Cimoli -- 6. What remains of the East Asian model? / K. Sundaram Jomo -- 7. Evolutionary privatisation in China / Tomo Marukawa -- 8. Is East Asia becoming 'Latin Asia'? : lessons from the 'Brazilian miracle' / Makoto Sano -- 9. Neo-liberal financial integration and financial crisis in emerging economies / Ilene Grabel -- 10. Bank-based versus market-based financial systems : insights from the history of economic thought / Costas Lapavitsas -- 11. East Asia and the development of regionalism / Hitoshi Hirakawa.…

hardcover. Condición: Very Good. No Dust Jacket. Cover and contents in very good clean condition. Gift-note to FEP. Used.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hard. Condición: Near Fine. First printing. Routledge Studies in Dev. Near fine. No inscriptions or markings etc. Very minor general shelf wear to covers only.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardback. Condición: New. 2023 ed. This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding.  By using Python's libraries NumPy, Matplotlib, VPython, and SymPy,  readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations.  All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New. pp. 234.

Condición: New.

Hardback. Condición: New. 2023 ed. This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding.  By using Python's libraries NumPy, Matplotlib, VPython, and SymPy,  readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations.  All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.…

Hardback. Condición: New. 2023 ed. This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding.  By using Python's libraries NumPy, Matplotlib, VPython, and SymPy,  readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations.  All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.…

Hardcover. Condición: New. 1st Edition.

Condición: Fine. Number of books: 1.

Condición: Fine. The book is in fine condition.

Condición: Fine. Number of books: 1.

Condición: Fine. The book is in fine condition.

Condición: Fine. The book is in fine condition.

Condición: Fine. The book is in fine condition.

Condición: Fine. Number of books: 1.

Condición: Fine. Number of books: 1.

Hardback. Condición: New. 2023 ed. This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding.  By using Python's libraries NumPy, Matplotlib, VPython, and SymPy,  readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations.  All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.…

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 230.