Mathematical Analysis and Optimization for Economists Mathematical Analysis and Optimization for Economists

Mathematical Analysis and Optimization for Economists

    • ‏64٫99 US$
    • ‏64٫99 US$

وصف الناشر

In Mathematical Analysis and Optimization for Economists, the author aims to introduce students of economics to the power and versatility of traditional as well as contemporary methodologies in mathematics and optimization theory; and, illustrates how these techniques can be applied in solving microeconomic problems.

This book combines the areas of intermediate to advanced mathematics, optimization, and microeconomic decision making, and is suitable for advanced undergraduates and first-year graduate students. This text is highly readable, with all concepts fully defined, and contains numerous detailed example problems in both mathematics and microeconomic applications. Each section contains some standard, as well as more thoughtful and challenging, exercises. Solutions can be downloaded from the CRC Press website. All solutions are detailed and complete.

Features Contains a whole spectrum of modern applicable mathematical techniques, many of which are not found in other books of this type. Comprehensive and contains numerous and detailed example problems in both mathematics and economic analysis. Suitable for economists and economics students with only a minimal mathematical background. Classroom-tested over the years when the author was actively teaching at the University of Hartford. Serves as a beginner text in optimization for applied mathematics students. Accompanied by several electronic chapters on linear algebra and matrix theory, nonsmooth optimization, economic efficiency, and distance functions available for free on www.routledge.com/9780367759018.

النوع
علم وطبيعة
تاريخ النشر
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٣٠ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
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‫م.ب.‬
Nonlinear Optimization Nonlinear Optimization
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Lectures on Convex Optimization Lectures on Convex Optimization
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Polynomial Operator Equations in Abstract Spaces and Applications Polynomial Operator Equations in Abstract Spaces and Applications
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Mathematical Programming with Data Perturbations Mathematical Programming with Data Perturbations
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Fourier Analysis: Part I, Theory Fourier Analysis: Part I, Theory
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Separable Optimization Separable Optimization
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Solutions Manual to Accompany Introduction to Quantitative Methods in Business: with Applications Using Microsoft Office Excel Solutions Manual to Accompany Introduction to Quantitative Methods in Business: with Applications Using Microsoft Office Excel
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Growth Curve Modeling Growth Curve Modeling
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Statistical Inference Statistical Inference
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Linear Programming and Resource Allocation Modeling Linear Programming and Resource Allocation Modeling
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Stochastic Differential Equations Stochastic Differential Equations
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Introduction to Quantitative Methods in Business Introduction to Quantitative Methods in Business
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