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Fundamental Economic Concepts—Another Perspective

The Journal of Economic Education, 1987
inquire into the manner in which this field is itself shaped and even created by the general notions that the discipline takes for granted. The first approach is more concerned with concepts than with conceptualizing; the second is more interested in the social construction of reality than with its analytic deconstruction.
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Fundamental Sources of Economic Complexity

International Journal of Nonlinear Sciences and Numerical Simulation, 2015
Abstract This article analyses the basic sources and types of economic complexity: chaotic attractors and repellers, complexity catastrophes, coexistence of attractors, sensitive dependence on parameters, final state sensitivity, effects of fractal basin boundaries and chaotic saddles.
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Fundamental Economic Concepts

1985
There are almost as many definitions of economics as there are economists. One of the most useful, given by Professor Samuelson in his world famous textbook, is Economics is the study of how men and society choose, with or without the use of money, to employ scarce productive resources, which could have alternative uses, to produce various ...
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The economics of the super‐multiplier: A comprehensive treatment with labor markets

Metroeconomica, 2018
This paper links the super‐multiplier to Keynesian macroeconomics, showing it to be the most Keynesian of growth perspectives. Next, the paper shows that the super‐multiplier is a micro‐economically coherent theory of investment and capital accumulation.
T. Palley
semanticscholar   +1 more source

Economic and Commercial Fundamentals

2017
The ‘commercial product natural gas’ consists of commodity, flexibility, transportation of the commodity to the location of consumption, and ancillary services.
Andrej Pustišek, Michael Karasz
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Fundamentals of economic model predictive control

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
The goal of most current advanced control systems is to guide a process to a target setpoint rapidly and reliably. Model predictive control has become a popular technology in many applications because it can handle large, multivariable systems subject to hard constraints on states and inputs.
Rawlings, James B.   +2 more
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Correspondence: The Fundamental Economics of Export Crops

, 1944
A. Culwick   +3 more
semanticscholar   +1 more source

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