Economia Matematica: Padroneggiare l'economia matematica, navigare nelle complessità dei fenomeni economici

What is Mathematical Economics

Within the field of economics, mathematical economics refers to the utilization of mathematical techniques for the purpose of representing ideas and analyzing situations. It is common for these applied methods to go beyond simple geometry. Some examples of these approaches include differential and integral calculus, difference and differential equations, matrix algebra, mathematical programming, and other computer methods. The individuals who advocate for this method assert that it makes it possible to formulate theoretical linkages in a manner that is rigorous, general, and straightforward.

How you will benefit

(I) Insights, and validations about the following topics:

Chapter 1: Mathematical economics

Chapter 2: Navier-Stokes equations

Chapter 3: Riemann curvature tensor

Chapter 4: Fractional calculus

Chapter 5: Step response

Chapter 6: Drawdown (economics)

Chapter 7: KMS state

Chapter 8: Ramsey-Cass-Koopmans model

Chapter 9: Lattice Boltzmann methods

Chapter 10: Green's function (many-body theory)

Chapter 11: Stokes's law of sound attenuation

Chapter 12: Hasse-Davenport relation

Chapter 13: Discrete Morse theory

Chapter 14: Zonal spherical function

Chapter 15: Commutation theorem for traces

Chapter 16: Critical taper

Chapter 17: Moving load

Chapter 18: M/D/1 queue

Chapter 19: Katugampola fractional operators

Chapter 20: Functional differential equation

Chapter 21: Recharge oscillator

(II) Answering the public top questions about mathematical economics.

(III) Real world examples for the usage of mathematical economics in many fields.

(IV) Rich glossary featuring over 1200 terms to unlock a comprehensive understanding of mathematical economics. (eBook only).

Who will benefit

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of mathematical economics.