Rethinking the Concept of Long-Run Economic Growth

This paper argues that growth theory needs a more general “regularity” concept than that of exponential growth. This offers the possibility of considering a richer set of parameter combinations than in standard growth models. Allowing zero population growth in the Jones (1995) model serves as our illustration of the usefulness of a general concept of “regular growth”.exponential growth, arithmetic growth, regular growth, semi-endogenous growth, knife-edge restrictions

Rethinking the Concept of Long-Run Economic Growth

This paper argues that growth theory needs a more general “regularity” concept than that of exponential growth. This opens up for considering a richer set of parameter combinations than in standard growth models. Allowing zero population growth in the Jones (1995) model serves as our illustration of the usefulness of a general concept of “regular growth”.exponential growth; arithmetic growth; regular growth; semi-endogenous growth; knife-edge restrictions

When Economic Growth is Less than Exponential

This paper argues that growth theory needs a more general notion of “regularity” than that of exponential growth. We suggest that paths along which the rate of decline of the growth rate is proportional to the growth rate itself deserve attention. This opens up for considering a richer set of parameter combinations than in standard growth models. And it avoids the usual oversimplistic dichotomy of either exponential growth or stagnation. Allowing zero population growth in three different growth models (the Jones R&D-based model, a learning-by-doing model, and an embodied technical change model) serve as illustrations that a continuum of “regular” growth processes fill the whole range between exponential growth and complete stagnation.quasi-arithmetic growth; regular growth; semi-endogenous growth; knife-edge restrictions; learning by doing; embodied technical change

Automated information system for the classification of data from XML documents

The article presents the developed automated information system that solves the task of structuring information obtained from the xml file and storing it in the database. Also, this AIS allows to change the information and upload it to the formats xls and xml

Radar-absorbent properties of a foam glass with gallium arsenide addition

The principal possibility of using wastes of semiconductor devices production containing gallium arsenide as a component of radio-absorbing material was established. The composition formulation including perlite, liquid glass, complex blowing agent and waste is developed. It is shown that with increase the waste amount in the composition from 10 to 30 wt. % the absorption coefficient increases from 80 to 98%, the transmission coefficient decreases to zero. The obtained results indicate a high absorbing capacity of composite in the frequency range of 120 - 260 GHz that refers to ultrasonic waves

Fulminant Cardiotoxicity in a Patient With Cardiac Lymphoma Treated With CAR-T Cells

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Pushing computational boundaries: Solving integrated investment planning problems for large-scale energy systems with PIPS-IPM+

Energy policies for setting the course of future energy supply often rely on models of energy systems with increasing interdependencies. On the mathematical side this translates into linking variables and constraints in the structure of optimization problems. Challenges concerning limited computing resources are often tackled from the applied side since generic parallel solvers are not available. This means that modelers today aim to simplify real-world models when implementing new features, despite of lots of effort spent for improving them before. This prevents accurately modeling of all system components. We tackle this challenge by combining both domain knowledge from the application side and the solver side and demonstrate our solution for a real-world model which is practically not solvable with existing methods. Therefore, we parameterize instances of the energy system optimization model REMix having more than 700 Mio. non-zeros. For the first time, these model instances incorporate both the optimization of a full hourly operational time horizon and path-dependent long-term investment planning for the German power system. These instances are annotated in a way, that the corresponding linear problems (LPs) decompose into blocks of similar size. To solve the annotated LPs, the new interior-point solver PIPS-IPM++ is applied. It treats large numbers of linking variables and constraints using a hierarchical algorithm and enables efficient scaling on parallel hardware. In this sense, we expand the boundaries of what is computationally possible when solving LPs in energy systems analysis. Accordingly, using the best possible real-world models becomes practicable, which enables the calibration of simplified models in a domain where validation is difficult