# Data Structures

datastructurereadwritemanipulationanalysiscomplexity

data structures arrary, matrics and tensors

In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.

Not to be confused with data type. DS serves as baises of ADT

Memory and data structures

Different types of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks.

For Example, relational databases commonly use B-tree indexes for data retrieval, while ==compiler implementations== usually use hash tables to look up identifiers.

# Algorithms

Maths is the study of the fromal systems

Solutions to some general problems. Problem solving

How to measure if a algorith is better than another?

Enter Time Complexity, estimated by counting the number of elementary operations performed by the algorithm

Since an algorithm's running time may vary among different inputs of the same size, one commonly considers the worst-case time complexity, which is the maximum amount of time required for inputs of a given size

This is further simplified by using the Asymptotic_analysis which is approximating fucntional vales for very large value of fn input

Commonly represented as Big-O Notation Fastest growing term

Constant linear quadratic

THEOREM

Computer Science is no more about computers than astronomy is about telescopes

# How do we calculate it?

  • Difference b/w time and space complexity
  • Is there a tool to auto calculate it?

# 🌀 References

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