9783030775612 - the calabi–yau landscape: from geometry, to physics, to machine learning: 2293 (lecture notes in mathematics) de he, yang-hui (16 resultados)
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 66,29
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 76,62
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 82,07
Envío por EUR 3,49Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. pp. 206.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 73,97
Envío por EUR 14,10Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. In.
Idioma: Inglés
Editorial: Springer 2021-08-02, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 70,42
Envío por EUR 18,22Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 82,89
Envío por EUR 7,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. pp. 206.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: Agapea Libros, Malaga, MA, EspañaAgapea Libros
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 76,68
Envío por EUR 17,52Se envía de España a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. Idioma/Language: Inglés. Can artificial intelligence learn mathematics? The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science. The study of Calabi?Yau manifolds lies at an exciting intersection between physics and mathematics. Recently, th…ere has been much activity in applying machine learning to solve otherwise intractable problems, to conjecture new formulae, or to understand the underlying structure of mathematics. In this book, insights from string and quantum field theory are combined with powerful techniques from complex and algebraic geometry, then translated into algorithms with the ultimate aim of deriving new information about Calabi?Yau manifolds. While the motivation comes from mathematical physics, the techniques are purely mathematical and the theme is that of explicit calculations. The reader is guided through the theory and provided with explicit computer code in standard software such as SageMath, Python and Mathematica to gain hands-on experience in applications of artificial intelligence to geometry. Driven by data and written in an informal style, The Calabi?Yau Landscape makes cutting-edge topics in mathematical physics, geometry and machine learning readily accessible to graduate students and beyond. The overriding ambition is to introduce some modern mathematics to the physicist, some modern physics to the mathematician, and machine learning to both. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
Idioma: Inglés
Editorial: Springer Nature, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 99,20
Envío por EUR 11,77Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 223 pages. 9.25x6.10x0.53 inches. In Stock.
Idioma: Inglés
Editorial: Springer International Publishing, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 69,54
Envío por EUR 61,74Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Can artificial intelligence learn mathematics The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science. The study of Calabi-Yau manifolds lies at an exciting intersection betwe…en physics and mathematics. Recently, there has been much activity in applying machine learning to solve otherwise intractable problems, to conjecture new formulae, or to understand the underlying structure of mathematics. In this book, insights from string and quantum field theory are combined with powerful techniques from complex and algebraic geometry, then translated into algorithms with the ultimate aim of deriving new information about Calabi-Yau manifolds. While the motivation comes from mathematical physics, the techniques are purely mathematical and the theme is that of explicit calculations. The reader is guided through the theory and provided with explicit computer code in standard software such as SageMath, Python and Mathematica to gain hands-on experience in applications of artificial intelligence to geometry.Driven by data and written in an informal style, The Calabi-Yau Landscape makes cutting-edge topics in mathematical physics, geometry and machine learning readily accessible to graduate students and beyond. The overriding ambition is to introduce some modern mathematics to the physicist, some modern physics to the mathematician, and machine learning to both.
Más imágenesIdioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 63,85
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. The Calabi-Yau Landscape | From Geometry, to Physics, to Machine Learning | Yang-Hui He | Taschenbuch | Lecture Notes in Mathematics | xvii | Englisch | 2021 | Springer | EAN 9783030775612 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hart…mann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
- Impresión bajo demanda
Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,23
Envío por EUR 5,50Se envía de Italia a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
- Impresión bajo demanda
Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 68,84
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Idioma: Inglés
Editorial: Springer International Publishing Aug 2021, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 69,54
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Can artificial intelligence learn mathematics The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science. The study of Calabi-Yau manifolds lies at an exciting in…tersection between physics and mathematics. Recently, there has been much activity in applying machine learning to solve otherwise intractable problems, to conjecture new formulae, or to understand the underlying structure of mathematics. In this book, insights from string and quantum field theory are combined with powerful techniques from complex and algebraic geometry, then translated into algorithms with the ultimate aim of deriving new information about Calabi-Yau manifolds. While the motivation comes from mathematical physics, the techniques are purely mathematical and the theme is that of explicit calculations. The reader is guided through the theory and provided with explicit computer code in standard software such as SageMath, Python and Mathematica to gain hands-on experience in applications of artificial intelligence to geometry.Driven by data and written in an informal style, The Calabi-Yau Landscape makes cutting-edge topics in mathematical physics, geometry and machine learning readily accessible to graduate students and beyond. The overriding ambition is to introduce some modern mathematics to the physicist, some modern physics to the mathematician, and machine learning to both. 224 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Berlin|Springer International Publishing|Science and Technology Facilities UK|Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 61,55
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Can artificial intelligence learn mathematics? The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science. The study of Ca…labi-Yau manifolds lies at an exciting intersection between ph.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 102,30
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND pp. 206.
Idioma: Inglés
Editorial: Springer, Palgrave Macmillan Aug 2021, 2021
Serie: Lecture Notes in Mathematics, Libro 1 de 1. Libro 1 de 1 - Lecture Notes in Mathematics
- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 69,54
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Can artificial intelligence learn mathematics The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science.The study of Calabi¿Yau manifolds lies at an exciting interse…ction between physics and mathematics. Recently, there has been much activity in applying machine learning to solve otherwise intractable problems, to conjecture new formulae, or to understand the underlying structure of mathematics. In this book, insights from string and quantum field theory are combined with powerful techniques from complex and algebraic geometry, then translated into algorithms with the ultimate aim of deriving new information about Calabi¿Yau manifolds. While the motivation comes from mathematical physics, the techniques are purely mathematical and the theme is that of explicit calculations. The reader is guided through the theory and provided with explicit computer code in standard software such as SageMath, Python and Mathematica to gain hands-on experience in applications of artificial intelligence to geometry.Driven by data and written in an informal style, The Calabi¿Yau Landscape makes cutting-edge topics in mathematical physics, geometry and machine learning readily accessible to graduate students and beyond. The overriding ambition is to introduce some modern mathematics to the physicist, some modern physics to the mathematician, and machine learning to both.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
