Small numbercial analysis question

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In summary, small numerical analysis questions involve the use of mathematical methods to analyze and interpret data with a limited number of variables. This type of analysis can be used to identify patterns, trends, and relationships within the data, as well as to make predictions or draw conclusions. It is commonly used in finance, economics, and other fields to make informed decisions based on numerical data. Some common techniques used in small numerical analysis include regression analysis, correlation analysis, and time series analysis. By applying these methods, researchers can gain valuable insights into the data and make data-driven decisions.
  • #1
DrKareem
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I was doing a small numbercal analysis problem that required the use of huge numbers. At first i was surprised that my code didn't work, even after double and triple checking, and after tracing the programme, i found out the mistake that i did. Firstly i used integers, and when the numbers started to increase they went bigger than the integer number range on C++ and started to give a negative number. Anyways, i used long and it worked ok for most of the numbers that needed calculations, but still some iteration couldn't be done since they also went out of range.

How could i solve this problem?
 
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  • #2
Wow, well in the case of integers it is a simpler problem. Extending floating point datatypes is more complicated.

It is not so hard to create a larger integer class as long as you follow the same bitwise rules than intrinsic integer types follow. And the basic arithmetic operators can be overriden in C++ to make it pretty transparent.

But to save you some trouble, there are many C++ numerics libraries out there that have already done this. Try starting with "c++ numerics library" in google.

I can't speak for any of them because I haven't used them before.
 
  • #3
Thx, will do.

Still open to more suggestions though :)
 
  • #4
Are 64 bits enough for you? If so then use long long (with g++) or __int64 (with VS); or their unsigned counterparts. Otherwise a quick solution might be to switch to Java and use the library class BigInteger.
 
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  • #7
I'm thankful. It hasn't occurred to me to use Java, which i will be doing, and for educational purposed i'll also check out and test the links grady and robphy gave.
 
  • #8
If you don't have to work in Unix, get ubasic (free download) from
http://www.simtel.net/category.php?id=299

It comes "ready to go" with built-in capability to handle integers and rational numbers up to 2600 DIGITS long, plus other impressive features.
 
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FAQ: Small numbercial analysis question

What is small numerical analysis?

Small numerical analysis is a branch of mathematics that deals with the study of algorithms and methods for solving problems involving small numbers. It involves techniques to accurately represent, manipulate, and analyze small numbers in various contexts, such as in scientific experiments or financial calculations.

What are some examples of small numerical analysis problems?

Some examples of small numerical analysis problems include calculating the average temperature for a week, determining the minimum and maximum values in a data set, finding the roots of a quadratic equation, and estimating the time taken for an object to fall to the ground. Essentially, any problem that involves working with small numbers can be considered a small numerical analysis problem.

Why is small numerical analysis important?

Small numerical analysis is important because it allows us to accurately represent, manipulate, and analyze data that involves small numbers. This is crucial in many fields, such as physics, chemistry, engineering, and finance, where small numbers are often encountered and precision is necessary for accurate results.

What are some common techniques used in small numerical analysis?

Some common techniques used in small numerical analysis include rounding, truncation, interpolation, and extrapolation. These techniques help to simplify and approximate small numbers, making them easier to work with and analyze.

How can I improve my skills in small numerical analysis?

To improve your skills in small numerical analysis, you can practice solving various problems involving small numbers, familiarize yourself with different techniques and algorithms, and stay updated with new developments in the field. Additionally, seeking guidance from experts and studying relevant textbooks and resources can also help to enhance your understanding and proficiency in small numerical analysis.

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