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Numbers and Functions: Theory, Formulation and Python Codes

Numbers and Functions: Theory, Formulation and Python CodesBy Gui-Rong Liu
About Numbers and Functions: Theory, Formulation and Python Codes

This unique volume covers two fundamental elements of computational methods - numbers and functions. It provides an in-depth discussion of the behaviors of numbers, including both real and complex numbers. The discussion leads to the important closure properties of numbers, ensuring solution consistence and existence, and also possible failure in numerical computations in science and engineering. This text then introduces types of functions that take numbers as independent variables and produce a single number. Approaches for constructing inverse functions are also provided. Frequently used basis functions are introduced, with detailed studies on their properties and behaviors. Techniques are presented for constructing basis functions and their use in function approximation in computational methods.

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  • Language:
  • English
  • ISBN:
  • 9789811287626
  • Binding:
  • Hardback
  • Pages:
  • 250
  • Published:
  • April 21, 2024
Delivery: 2-3 weeks
Expected delivery: December 12, 2024

Description of Numbers and Functions: Theory, Formulation and Python Codes

This unique volume covers two fundamental elements of computational methods - numbers and functions. It provides an in-depth discussion of the behaviors of numbers, including both real and complex numbers. The discussion leads to the important closure properties of numbers, ensuring solution consistence and existence, and also possible failure in numerical computations in science and engineering.
This text then introduces types of functions that take numbers as independent variables and produce a single number. Approaches for constructing inverse functions are also provided. Frequently used basis functions are introduced, with detailed studies on their properties and behaviors. Techniques are presented for constructing basis functions and their use in function approximation in computational methods.

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