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Essential mathematics for economic analysis / Knut Sydsæter, Peter Hammond, Arne Strøm and Andrés Carvajal.

By: Contributor(s): Material type: TextTextPublisher: Harlow, England : Pearson, 2021Edition: Sixth editionDescription: xviii, 952 pages ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781292359281
Subject(s): DDC classification:
  • 330.0151 SY.E 2021 23
LOC classification:
  • HB135 .S886 2021
Online resources:
Contents:
Preliminaries. Essentials of logic and set theory -- Algebra -- Solving equations -- Functions of one variable -- Properties of functions -- Single variable calculus. Differentiation -- Derivatives in use -- Concave and convex functions -- Optimization -- Integration -- Topics in finance and dynamics -- Multivariable algebra. Matrix algebra -- Determinants, inverses, and quadratic forms -- Multivariable calculus. Functions of many variables -- Partial derivatives in use -- Multiple integrals -- Multivariable optimization. Unconstrained optimization -- Equality constraints -- Linear programming -- Nonlinear programming.
Summary: "The subject matter that modern economics students are expected to master makes significant mathematical demands. This is true even of the less technical "applied" literature that students will be expected to read for courses in fields such as public finance, industrial organization, and labour economics, amongst several others. Indeed, the most relevant literature typically presumes familiarity with several important mathematical tools, especially calculus for functions of one and several variables, as well as a basic understanding of multivariable optimization problems with or without constraints. Linear algebra is also used to some extent in economic theory, and a great deal more in econometrics"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books The Knowledge Hub Library 330.01/51 SY.E 2021 (Browse shelf(Opens below)) Not For Loan 211066
Books Books The Knowledge Hub Library 330.01/51 SY.E 2021 (Browse shelf(Opens below)) Not For Loan 211067
Books Books The Knowledge Hub Library 330.01/51 SY.E 2021 (Browse shelf(Opens below)) Available 211068
Books Books The Knowledge Hub Library 330.01/51 SY.E 2021 (Browse shelf(Opens below)) Not For Loan 211069
Books Books The Knowledge Hub Library 330.01/51 SY.E 2021 (Browse shelf(Opens below)) Not For Loan 211070

Includes bibliographical references and index.

Preliminaries. Essentials of logic and set theory -- Algebra -- Solving equations -- Functions of one variable -- Properties of functions -- Single variable calculus. Differentiation -- Derivatives in use -- Concave and convex functions -- Optimization -- Integration -- Topics in finance and dynamics -- Multivariable algebra. Matrix algebra -- Determinants, inverses, and quadratic forms -- Multivariable calculus. Functions of many variables -- Partial derivatives in use -- Multiple integrals -- Multivariable optimization. Unconstrained optimization -- Equality constraints -- Linear programming -- Nonlinear programming.

"The subject matter that modern economics students are expected to master makes significant mathematical demands. This is true even of the less technical "applied" literature that students will be expected to read for courses in fields such as public finance, industrial organization, and labour economics, amongst several others. Indeed, the most relevant literature typically presumes familiarity with several important mathematical tools, especially calculus for functions of one and several variables, as well as a basic understanding of multivariable optimization problems with or without constraints. Linear algebra is also used to some extent in economic theory, and a great deal more in econometrics"-- Provided by publisher.

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