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Essential Mathematics for Economic Analysis

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Knut Sydsaeter 作者
Financial Times/ Prentice Hall
譯者
2008-4-17 出版日期
736 頁數
GBP 52.99 價格
Paperback
叢書系列
9780273713241 圖書編碼

Essential Mathematics for Economic Analysis 在線電子書 圖書標籤: 經濟學  數學  教材  Economics  textbook  格大  Warwick  TAMU   


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Essential Mathematics for Economic Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

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Essential Mathematics for Economic Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Essential Mathematics for Economic Analysis 在線電子書 著者簡介


Essential Mathematics for Economic Analysis 在線電子書 著者簡介


Essential Mathematics for Economic Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Essential Mathematics for Economic Analysis 在線電子書 圖書描述

Essential Mathematics for Economic Analysis, third edition The market leading European text, Essential Mathematics for Economic Analysis, third Edition, continues to provide an invaluable introduction to the mathematical tools that undergraduate economists need New to this edition: * New: Economic concepts, definitions and topics covered in the book are listed on the inside front cover. * New: Short answers to almost all of the more than 1000 problems in the book for students to self check. * New Students Manual with extended worked answers to selected problems in the book. *New sections on elementary differential equations and difference equations included in this volume for the first time. * New and improved figures in colour for the first time. *New Instructor's Manual now contains a large range of additional supplementary problems, simple to advanced, suitable for use in examinations. Knut Sydsater is an Emeritus Professor of Mathematics in the Economics Department at the University of Oslo, where, since 1965, he has had extensive experience in teaching mathematics for economists. He has also given graduate courses in dynamic optimization at Berkeley and Gothenborg.He has written and co-authored a number of books, of which several have been translated into many languages. In recent years he has been engaged in an attempt to improve the teaching of mathematics for economists in several African universities. PeterHammond is currently the Marie Curie Professor of Economics at the University of Warwick, where he moved in 2007 after becoming an Emeritus Professor at Stanford University. During the 1970s he was a Lecturer, then Professor in Economics at the University of Essex. He completed a BA in Mathematics and a PhD in Economics at the University of Cambridge. He has been an editor of the Review of Economic Studies, of the Econometric Society Monograph Series, and has served on the editorial boards of Social Choice and Welfare and the Journal of Public Economic Theory. He has published more than 100 academic papers in journals and books, mostly on economic theory and mathematical economics.Also available: Further Mathematics for Economic Analysis published in a new 2ND EDITION by Sydsater, Hammond, Seierstad and Strom (ISBN 9780273713289) Further Mathematics for Economic Analysis is a companion volume to Essential Mathematics for Economic Analysis intended for advanced undergraduate and graduate economics students whose requirements go beyond the material found in this text. Do you require just a couple of additional further topics? See the front of this text for information on our Custom Publishing Programme. 'The book is by far the best choice one can make for a course on mathematics for economists. It is exemplary in finding the right balance between mathematics and economic examples.' Dr. Roelof J. Stroeker, Erasmus University, Rotterdam. I have long been a fan of these books, most books on Maths for Economists are either mathematically unsound or very boring or both! Sydsaeter & Hammond certainly do not fall into either of these categories.' Ann Round, University of Warwick Visit www.pearsoned.co.uk/sydsaeter to access the companion website for this text including: Student Manual with extended answers broken down step by step to selected problems in the text.*Excel supplement *Multiple choice questions for each chapter to self check your learning and receive automatic feedback.

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