Stochastic Methods Scientific Computing by Delia Massimo (17 results)

hardcover. Condition: Very Good.

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Condition: New.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. The book also covers recent specialised techniques for notorious issues in the field of stochastic simulations, providing a valuable reference for advanced readers with an active interest in the field.FeaturesSelf-contained, starting from the theoretical foundations and advancing to the most recent developments in the fieldSuitable as a reference for post-graduates and researchers or as supplementary reading for courses in numerical methods, scientific computing, and beyondInterdisciplinary, laying a solid ground for field-specific applications in finance, physics and biosciences on common theoretical foundationsReplete with practical examples of applications to classic and current research problems in various fields. This book introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

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Hardcover. Condition: Brand New. 450 pages. 9.25x6.14x9.19 inches. In Stock.

Hardcover. Condition: new. Hardcover. Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. The book also covers recent specialised techniques for notorious issues in the field of stochastic simulations, providing a valuable reference for advanced readers with an active interest in the field.FeaturesSelf-contained, starting from the theoretical foundations and advancing to the most recent developments in the fieldSuitable as a reference for post-graduates and researchers or as supplementary reading for courses in numerical methods, scientific computing, and beyondInterdisciplinary, laying a solid ground for field-specific applications in finance, physics and biosciences on common theoretical foundationsReplete with practical examples of applications to classic and current research problems in various fields. This book introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. The book also covers recent specialised techniques for notorious issues in the field of stochastic simulations, providing a valuable reference for advanced readers with an active interest in the field.FeaturesSelf-contained, starting from the theoretical foundations and advancing to the most recent developments in the fieldSuitable as a reference for post-graduates and researchers or as supplementary reading for courses in numerical methods, scientific computing, and beyondInterdisciplinary, laying a solid ground for field-specific applications in finance, physics and biosciences on common theoretical foundationsReplete with practical examples of applications to classic and current research problems in various fields. This book introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: Brand New. 450 pages. 9.25x6.14x9.19 inches. In Stock. This item is printed on demand.

Condition: New. PRINT ON DEMAND.