Advertisement
Advertisement
dynamic
[ dahy-nam-ik ]
adjective
- pertaining to or characterized by energy or effective action; vigorously active or forceful; energetic:
the dynamic president of the firm.
- Physics.
- of or relating to force or power.
- of or relating to force related to motion.
- pertaining to the science of dynamics.
- of or relating to the range of volume of musical sound.
- Digital Technology. (of data storage, processing, or programming) affected by the passage of time or the presence or absence of power:
Dynamic memory must be constantly refreshed to avoid losing data.
Dynamic websites contain web pages that are generated in real time.
- Grammar. nonstative.
noun
- a basic or dynamic force, especially one that motivates, affects development or stability, etc.
dynamic
/ daɪˈnæmɪk /
adjective
- of or concerned with energy or forces that produce motion, as opposed to static
- of or concerned with dynamics
- Alsodynamical characterized by force of personality, ambition, energy, new ideas, etc
- music of, relating to, or indicating dynamics
dynamic marks
- computing (of a memory) needing its contents refreshed periodically Compare static
dynamic
/ dī-năm′ĭk /
- Relating to energy or to objects in motion.
- Compare static
- Relating to the study of dynamics.
- Characterized by continuous change or activity.
Derived Forms
- dyˈnamically, adverb
Other Words From
- dy·nami·cal·ly adverb
- nondy·namic adjective
- nondy·nami·cal adjective
- nondy·nami·cal·ly adverb
- undy·namic adjective
- undy·nami·cal·ly adverb
Word History and Origins
Word History and Origins
Origin of dynamic1
Example Sentences
Chief executive Joe Bailey said: "We work within one of the most creative and dynamic industries in the UK and hope this event will be the catalyst for future careers."
The authors released a heap of the seeds down an inclined plane while a camera recorded their descent to analyze their speed and the dynamics of their movement.
By understanding this dynamic, we can start to use it to our own advantage, to both make and break habits.
As Stracke describes it, their friendship is genuine, with the tenderness and hiccups of any dynamic.
The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations.
Advertisement
Advertisement
Advertisement
Advertisement
Browse