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

One Billion Knowledgeable · AI 讲述者:Italo(来自 Google)
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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.



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