{"product_id":"guide-to-simulation-and-modeling-for-biosciences-9781447167617","title":"Guide to Simulation and Modeling for Biosciences","description":"\u003cp\u003e • Author(s): David J. Barnes\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis accessible text\/reference presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as some of the fundamental mathematical background. The practical constraints and difficulties presented by each modeling technique are described in detail, enabling the researcher to determine quickly which software package would be most useful for their particular problem.\u003c\/p\u003e\u003cp\u003eThis \u003ci\u003eGuide to Simulation and Modeling for Biosciences\u003c\/i\u003e is a fully updated and enhanced revision of the authors' earlier \u003ci\u003eIntroduction to Modeling for Biosciences\u003c\/i\u003e. Written with the particular needs of the novice modeler in mind, this unique and helpful work guides the reader through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIntroduces a basic array of techniques to formulate models of biological systems, and to solve them\u003c\/li\u003e\n\u003cli\u003eDiscusses agent-based models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie's stochastic simulation algorithm\u003c\/li\u003e\n\u003cli\u003eProvides exercises to help the reader sharpen their understanding of the topics\u003c\/li\u003e\n\u003cli\u003eDescribes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn\u003c\/li\u003e\n\u003cli\u003eContains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts\u003c\/li\u003e\n\u003cli\u003eOffers supplementary material at an associated website, \u003c\/li\u003e\n\u003c\/ul\u003e including source code for many of the example models discussed in the book\u003cp\u003eStudents and active researchers in the biosciences will benefit from the discussions of the high-quality, tried-and-tested modeling tools described in the book, as well as the thorough descriptions and examples.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45275381137559,"sku":"9781447167617","price":3639.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781447167617.webp?v=1769282740","url":"https:\/\/atlanticbooks.com\/products\/guide-to-simulation-and-modeling-for-biosciences-9781447167617","provider":"Atlantic Books","version":"1.0","type":"link"}