Algorithm Basics and Properties

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What is the definition of an algorithm?

A well-defined computational procedure that takes input and produces output

From where is the word 'algorithm' derived?

From the ninth-century mathematician Al-khowarizmi

What are the building blocks of algorithms according to the text?

Sequencing, selection, and iteration

Which discipline finds studying algorithms exciting?

Computer science

What did Al-khowarizmi define an algorithm as?

A finite sequence of instructions to achieve some particular output

What does the word 'algorithm' mean in Latin?

'Algorismus'

What are the five basic building blocks of an algorithm?

Sequencing, selection, and iteration

What is one of the important concepts related to algorithms discussed in section 1.5?

Time complexity

How is an algorithm different from coding instructions?

It is a sequence of tasks written in common language

What must an algorithm satisfy to be considered good?

Definite sequence of operations for transformation of input into output

Which section discusses the solving techniques of various computing problems?

Section 1.8

What type of algorithm is deterministic?

The next output can be predicted/determined from the input and the state of the program

Study Notes

  • Algorithms are a set of rules for calculating inputs to produce outputs, defined by the mathematician Al-khowarizmi
  • Algorithms are designed with building blocks: sequencing, selection, and iteration
  • Time complexity is a concept used to evaluate algorithm efficiency
  • Analysis of algorithms compares their complexity to determine which is best
  • Computing problems are categorized based on their solving approach
  • Algorithms can be deterministic (predictable) or stochastic (random)
  • This unit covers the basics of algorithms and their properties
  • Objectives of the unit include defining algorithms and their properties, designing algorithms, and understanding time and space complexity and deterministic vs stochastic algorithms.
  • An algorithm is a collection of tasks written in common language, producing output within a time frame, and independent of programming language
  • Properties of a good algorithm include having a finite number of inputs, producing output, a definite sequence of operations, every step being basic and essential, and finishing in a finite number of steps.

Explore the fundamentals of algorithms, including their design, properties, time complexity, and deterministic vs stochastic nature. Learn about the key building blocks of algorithms and how to evaluate their efficiency through time complexity analysis.

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