"Sparsity" Example Sentences
1. The sparsity of the population in this region makes it difficult to establish a business.
2. The sparsity of information on this topic is worrying.
3. The sparsity of rainfall is causing a drought in this area.
4. The sparsity of resources is a major concern for small companies.
5. The sparsity of evidence makes it hard to draw a conclusion.
6. The sparsity of data points makes statistical analysis unreliable.
7. The sparsity of books in the library was disappointing.
8. The sparsity of trees in this part of town is noticeable.
9. The sparsity of seating at concerts can be uncomfortable for attendees.
10. The sparsity of job openings in the area has led to high unemployment rates.
11. The sparsity of available parking in the city is a major issue.
12. The sparsity of options on the menu left me disappointed.
13. The sparsity of volunteers has made it difficult to host this event.
14. The sparsity of funds forced the company to downsize.
15. The sparsity of attendees at the event was disappointing.
16. The sparsity of colors on the canvas gave it a minimalist feel.
17. The sparsity of appointments available made scheduling difficult.
18. The sparsity of sales resulted in the store closing down.
19. The sparsity of staff in the office made completing tasks difficult.
20. The sparsity of choices in this supermarket was surprising.
21. The sparsity of flora in this desert biome is fascinating.
22. The sparsity of members in the club is concerning for its future.
23. The sparsity of company benefits has led to low morale among employees.
24. The sparsity of parking spaces near the office made commuting challenging.
25. The sparsity of light in this room makes it feel cramped.
26. The sparsity of communication from the management team has caused confusion among employees.
27. The sparsity of clean water sources in this country is a major issue.
28. The sparsity of decorations in the room made it feel bare.
29. The sparsity of public transit options in the suburbs is frustrating.
30. The sparsity of buyers for this product has resulted in a decrease in production.
Common Phases
1.
Sparsity is a desirable feature of many mathematical models.
2. The
sparsity structure of a matrix can greatly affect its performance in algorithms.
3.
Sparsity can reduce the complexity of computations and algorithms.
4.
Sparsity is often desired in data analysis to remove noise and extraneous information.
5. The
sparsity of a signal can be measured using various metrics.
6.
Sparsity regularization is a common technique in machine learning to promote simpler models.
7. Sparse coding is a method for representing signals using a small number of basis functions.
8.
Sparsity-based methods have been successfully applied in various fields, including image processing and speech recognition.
9. The
sparsity of a network can impact its robustness and vulnerability to attacks.
10. Sparse matrices can be efficiently stored and manipulated using specialized data structures and algorithms.