dynamic types - meaning and definition. What is dynamic types
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What (who) is dynamic types - definition

Dynamic algorithm; Dynamic Algorithms; Dynamic problem

Aerospool WT9 Dynamic         
  • Aerospool WT9 Dynamic with fixed landing gear
  • Aerospool WT9 Dynamic with retractable gear
  • Aerospool WT9 Dynamic in flight
LIGHT SPORT AIRCRAFT BY AEROSPOOL IN SLOVAKIA
Aerospool WT 9 Dynamic; Aerospool WT-9 Dynamic; Aerospool Dynamic
The Aerospool WT9 Dynamic is a Slovak ultralight and light-sport aircraft, designed and produced by Aerospool of Prievidza. The aircraft is supplied as a complete ready-to-fly-aircraft.
dynamic analysis         
METHOD OF ANALYSING THE IMPACT OF FISCAL POLICY CHANGES BY FORECASTING THE EFFECTS OF ECONOMIC AGENTS' REACTIONS TO INCENTIVES CREATED BY POLICY
Dynamic analysis
<programming> Evaluation of a program based on its execution. Dynamic analysis relies on executing a piece of software with selected test data. (1996-05-13)
Dynamic scoring         
METHOD OF ANALYSING THE IMPACT OF FISCAL POLICY CHANGES BY FORECASTING THE EFFECTS OF ECONOMIC AGENTS' REACTIONS TO INCENTIVES CREATED BY POLICY
Dynamic analysis
Dynamic scoring is a forecasting technique for government revenues, expenditures, and budget deficits that incorporates predictions about the behavior of people and organizations based on changes in fiscal policy, usually tax rates. Dynamic scoring depends on models of the behavior of economic agents which predict how they would react once the tax rate or other policy change goes into effect.

Wikipedia

Dynamic problem (algorithms)

Dynamic problems in computational complexity theory are problems stated in terms of the changing input data. In the most general form a problem in this category is usually stated as follows:

  • Given a class of input objects, find efficient algorithms and data structures to answer a certain query about a set of input objects each time the input data is modified, i.e., objects are inserted or deleted.

Problems of this class have the following measures of complexity:

  • Space – the amount of memory space required to store the data structure;
  • Initialization time – time required for the initial construction of the data structure;
  • Insertion time – time required for the update of the data structure when one more input element is added;
  • Deletion time – time required for the update of the data structure when an input element is deleted;
  • Query time – time required to answer a query;
  • Other operations specific to the problem in question

The overall set of computations for a dynamic problem is called a dynamic algorithm.

Many algorithmic problems stated in terms of fixed input data (called static problems in this context and solved by static algorithms) have meaningful dynamic versions.