Isbn: 9798196176791 - advanced computational finance: stochastic optimization, numerical pdes, and high-dimensional risk modeling (6 resultados)

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  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798196176791

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    EUR 40,03

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798196176791

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    EUR 35,75

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently Published Mai 2026, 2026

    9798196176791

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 51,08

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. Neuware - Reactive PublishingAdvanced Computational Finance is a rigorous guide to the mathematical and numerical methods used in modern quantitative finance. Designed for readers with a foundation in finance, probability, programming, or applied mathematics, this book examines the computational tools used to model uncertainty, optimize financial decisions, and solve complex risk problems.The book explores stochastic optimization, numerical partial differential equations, dynamic programming, Monte Carlo methods, high-dimensional modeling, and computational techniques for pricing, hedging, portfolio construction, and risk analysis. Rather than treating finance as a collection of formulas, it presents financial modeling as a structured computational discipline where assumptions, algorithms, and numerical stability matter.Inside, readers will find a detailed treatment of advanced topics including: Stochastic models for financial uncertaintyOptimization methods for portfolio and decision problemsNumerical PDE techniques for derivative pricing and risk analysisHigh-dimensional risk modeling and factor-based approachesSimulation methods for complex financial systemsComputational frameworks for pricing, hedging, and scenario analysisAlgorithmic approaches to solving finance problems under uncertaintyWritten with a technical and professional audience in mind, Advanced Computational Finance is suited for quantitative analysts, financial engineers, graduate students, researchers, and technically skilled finance professionals who want to deepen their understanding of computational methods in modern financial modeling.This book emphasizes clarity, mathematical discipline, and practical computational structure, making it a useful reference for readers working at the intersection of finance, numerical methods, optimization, and risk.…

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798196176791

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 37,06

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    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. Reactive PublishingAdvanced Computational Finance is a rigorous guide to the mathematical and numerical methods used in modern quantitative finance. Designed for readers with a foundation in finance, probability, programming, or applied mathematics, this book examines the computational tools used to model uncertainty, optimize financial decisions, and solve complex risk problems.The book explores stochastic optimization, numerical partial differential equations, dynamic programming, Monte Carlo methods, high-dimensional modeling, and computational techniques for pricing, hedging, portfolio construction, and risk analysis. Rather than treating finance as a collection of formulas, it presents financial modeling as a structured computational discipline where assumptions, algorithms, and numerical stability matter.Inside, readers will find a detailed treatment of advanced topics including: Stochastic models for financial uncertaintyOptimization methods for portfolio and decision problemsNumerical PDE techniques for derivative pricing and risk analysisHigh-dimensional risk modeling and factor-based approachesSimulation methods for complex financial systemsComputational frameworks for pricing, hedging, and scenario analysisAlgorithmic approaches to solving finance problems under uncertaintyWritten with a technical and professional audience in mind, Advanced Computational Finance is suited for quantitative analysts, financial engineers, graduate students, researchers, and technically skilled finance professionals who want to deepen their understanding of computational methods in modern financial modeling.This book emphasizes clarity, mathematical discipline, and practical computational structure, making it a useful reference for readers working at the intersection of finance, numerical methods, optimization, and risk. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798196176791

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

    Vendedor de 4 estrellas
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    Condición: Nuevo

    EUR 37,07

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798196176791

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 40,10

    Envío por EUR 43,02 
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    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. Reactive PublishingAdvanced Computational Finance is a rigorous guide to the mathematical and numerical methods used in modern quantitative finance. Designed for readers with a foundation in finance, probability, programming, or applied mathematics, this book examines the computational tools used to model uncertainty, optimize financial decisions, and solve complex risk problems.The book explores stochastic optimization, numerical partial differential equations, dynamic programming, Monte Carlo methods, high-dimensional modeling, and computational techniques for pricing, hedging, portfolio construction, and risk analysis. Rather than treating finance as a collection of formulas, it presents financial modeling as a structured computational discipline where assumptions, algorithms, and numerical stability matter.Inside, readers will find a detailed treatment of advanced topics including: Stochastic models for financial uncertaintyOptimization methods for portfolio and decision problemsNumerical PDE techniques for derivative pricing and risk analysisHigh-dimensional risk modeling and factor-based approachesSimulation methods for complex financial systemsComputational frameworks for pricing, hedging, and scenario analysisAlgorithmic approaches to solving finance problems under uncertaintyWritten with a technical and professional audience in mind, Advanced Computational Finance is suited for quantitative analysts, financial engineers, graduate students, researchers, and technically skilled finance professionals who want to deepen their understanding of computational methods in modern financial modeling.This book emphasizes clarity, mathematical discipline, and practical computational structure, making it a useful reference for readers working at the intersection of finance, numerical methods, optimization, and risk. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…