Digital computers often make mistakes in floating-point math because complex values are irrational. Explain?
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Digital computers often make mistakes in floating-point math because complex values are irrational. Explain?
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- How does the choice of numerical precision (e.g., floating-point vs. fixed-point arithmetic) affect bounded summation calculations in numerical computing?Explain (in five or more sentences) how floating-point numbers are represented by computers. Explain the difference between floating point and double.A 'number crunching' computer is one that can handle large volume of numbers why?
- Why is a 'number crunching' computer able to handle big numbers?How do computers store and perform arithmetic operations with integers? Explain the limitations of integer representation in computer systems.Since a computer's processing power is limited to the manipulation and storage of numbers, how do you resolve the problems that it always causes? What other approaches are used in order to overcome these challenges?
- What is the machine accuracy in decimal numbers if a computer can only hold 5 digits in binary? And what is the smallest number that may be added to 1000?What does it mean, precisely, to choose numbers at random?How are integers used in programming and computer science for tasks like indexing arrays and performing calculations?