{"product_id":"monte-carlo-integration-with-matlab-and-simulink","title":"Monte Carlo Integration with MATLAB and Simulink","description":"\u003cp\u003e\u003cb\u003ePresents detailed guidance on Monte Carlo integration methods for complex applications\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eMonte Carlo integration has become an indispensable computational tool across science, engineering, mathematics, and economics, offering effective solutions where traditional numerical integration methods fall short. \u003ci\u003eMonte Carlo Integration with MATLAB and Simulink\u003c\/i\u003e provides both a structured introduction to advanced integration techniques and a practical guide to applying them in real-world contexts. Author Arthur A. Giordano emphasizes the natural progression from traditional methods such as the use of MATLAB integral to Monte Carlo simulation-based approaches, highlighting the growing importance of random variable–driven computations in modern research and engineering applications. \u003c\/p\u003e\u003cp\u003eCovering topics from accept-rejection sampling and importance sampling to advanced algorithms such as Metropolis-Hastings, Gibbs Sampling, Slice, Hamiltonian Monte Carlo, and Sequential Monte Carlo (Particle Filtering), the book equips readers with the knowledge to handle both tractable and intractable integration problems. Extensive MATLAB examples are paired with detailed explanations, while dedicated Simulink models extend the scope of applications to robotics, control systems, neural networks, cosmology, and more. By integrating step-by-step examples, code snippets, and exploratory exercises, the book fosters an interactive learning process that encourages readers to replicate, modify, and expand on the provided material. \u003c\/p\u003e\u003cp\u003eCombining theoretical background with extensive computational demonstrations, \u003ci\u003eMonte Carlo Integration with MATLAB and Simulink:\u003c\/i\u003e \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCovers both deterministic and simulation-based integration methods with increasing depth and complexity\u003c\/li\u003e\n\u003cli\u003eIntroduces advanced Monte Carlo sampling algorithms, including Gibbs Sampling  and Sequential Monte Carlo (Particle Filtering)\u003c\/li\u003e\n\u003cli\u003eFeatures over a dozen fully developed MATLAB examples with accompanying program code\u003c\/li\u003e\n\u003cli\u003eProvides detailed Simulink models for robotics, control systems, and scientific applications\u003c\/li\u003e\n\u003cli\u003eIncludes problem sets with solutions available on a companion website\u003c\/li\u003e\n\u003cli\u003eHighlights the transition from classical integration to simulation methods for random processes\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIncorporating classical integration techniques and cutting-edge simulation methods, \u003ci\u003eMonte Carlo Integration with MATLAB and Simulink\u003c\/i\u003e is a valuable resource for advanced undergraduate and graduate students in applied mathematics, engineering, and computational sciences, as well as scientists, engineers, and researchers applying Monte Carlo integration in fields ranging from signal processing to robotics.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":57260974670168,"sku":"9781394407040","price":131.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781394407040_7f0a9ac3-5608-4393-9751-029ac48fb639.jpg?v=1780453831","url":"https:\/\/agendabookshop.com\/products\/monte-carlo-integration-with-matlab-and-simulink","provider":"Agenda Bookshop","version":"1.0","type":"link"}