{"product_id":"applied-scientific-computing-with-python-9783319895741","title":"Applied Scientific Computing: With Python","description":"\u003cp\u003e • Author(s): Peter R. Turner\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Programming - Algorithms\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 easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides an accessible and applications-oriented approach, supported by working Python code for many of the methods\u003c\/li\u003e\n\u003cli\u003eEncourages both problem- and project-based learning through extensive examples, exercises, and projects drawn from practical applications\u003c\/li\u003e\n\u003cli\u003eIntroduces the main concepts in modeling, python programming, number representation, and errors\u003c\/li\u003e\n\u003cli\u003eExplains the essential details of numerical calculus, linear, and nonlinear equations, including the multivariable Newton method\u003c\/li\u003e\n\u003cli\u003eDiscusses interpolation and the numerical solution of differential equations, covering polynomial interpolation, splines, and the Euler, Runge-Kutta, and shooting methods\u003c\/li\u003e\n\u003cli\u003ePresents largely self-contained chapters, arranged in a logical order suitable for an introductory course on scientific computing\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eUndergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social science.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Peter R. Turner\u003c\/b\u003e is the Founding Director of the Institute for STEM Education at Clarkson University, Potsdam, NY, USA. \u003cb\u003eDr. Thomas Arildsen\u003c\/b\u003e is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark. \u003cb\u003eDr. Kathleen Kavanagh\u003c\/b\u003e is a Professor in the Department of Mathematics at Clarkson University.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45276739829911,"sku":"9783319895741","price":3672.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319895741.webp?v=1769286501","url":"https:\/\/atlanticbooks.com\/products\/applied-scientific-computing-with-python-9783319895741","provider":"Atlantic Books","version":"1.0","type":"link"}