Mathematical Analysis and Optimization for Economists

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.\n\nThis 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. Additional ISBNs 0367759020, 0367759012, 1003164498, 9780367759025, 9780367759018, 9781003164494Mathematical Analysis and Optimization for Economists 1st Edition is written by Michael J. Panik and published by Chapman & Hall. ISBNs for Mathematical Analysis and Optimization for Economists are 9781000408928, 1000408922 and the print ISBNs are 9780367759025, 0367759020. Additional ISBNs include 0367759020, 0367759012, 1003164498, 9780367759025, 9780367759018, 9781003164494.