Mathematics for Physics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Mathematics for Physics

简体网页||繁体网页
Michael M. Woolfson 作者
Oxford University Press, USA
译者
2007-2-3 出版日期
808 页数
USD 75.00 价格
Paperback
丛书系列
9780199289295 图书编码

Mathematics for Physics 在线电子书 图书标签: 物理學  數學   


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发表于2024-12-23


Mathematics for Physics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematics for Physics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematics for Physics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Mathematics is the essential language of science. It enables us to describe abstract physical concepts, and to apply these concepts in practical ways. Yet mathematical skills and concepts are an aspect of physics that many students fear the most. Mathematics for Physics recognizes the challenges faced by students in equipping themselves with the maths skills necessary to gain a full understanding of physics. Working from basic yet fundamental principles, the book builds the students' confidence by leading them through the subject in a steady, progressive way. As its primary aim, Mathematics for Physics shows the relevance of mathematics to the study of physics. Its unique approach demonstrates the application of mathematical concepts alongside the development of the mathematical theory. This stimulating and motivating approach helps students to master the maths and see its application in the context of physics in one seamless learning experience. Mathematics is a subject mastered most readily through active learning.Mathematics for Physics features both print and online support, with many in-text exercises and end-of-chapter problems, and web-based computer programs, to both stimulate learning and build understanding. Mathematics for Physics is the perfect introduction to the essential mathematical concepts which all physics students should master. Online Resource Centre: For lecturers: Figures from the book available to download, to facilitate lecture preparation For students: 23 computer programs, coded in FORTRAN, C, and MATLAB, to enable students to investigate and solve a range of problems - from the behaviour of clusters of stars to the design of nuclear reactors - and hence make learning as effective and engaging as possible.

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