Fpu Error Exception
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here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack floating point exception c++ Overflow the company Business Learn more about hiring developers or posting ads with us floating point exception fluent Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community floating exception core dumped of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Floating Point Exception C++ Why and what is it? up vote 14 down vote favorite 2 c floating point exception 8 I'm building a program for the Euler projects question 3, and while that might not really matter as a result I'm current trying to make this code take a number and test if it is prime or not. Now then before I get to troubleshoot the function it gives me the error "floating point exception" right after inputting the number. Here's the code: int main() { int input; cout << "Enter number:
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" << endl; cin>> input; int i = input/2; int c; for (i>0; i--;) { c= input%i; if (c==0 || i == 1) cout << "not prime" << endl; else cout << "prime" << endl; } return 0; } so essentially why is it giving me a floating point exception and what does that even mean? c++ floating-point share|improve this question edited Oct 21 '12 at 20:57 Ian Kemp 11.6k84976 asked Nov 21 '10 at 7:21 Samuraisoulification 95262553 4 Something is wrong with your for loop. –Lazer Nov 21 '10 at 7:24 the floating point exception has many reasons but depending on your code, I do agree with Pete and I think c= input%i; is the cause of the problem and I hope my answer helps you.. –TopDeveloper Nov 21 '10 at 7:38 add a comment| 3 Answers 3 active oldest votes up vote 21 down vote accepted A "floating point number" is how computers usually represent numbers that are not integers -- basically, a number with a decimal point. In C++ you declare them with float instead of int. A floating point exception is an error that occurs when you try to do something impossible with a floating point number, such as divide by zero. share|improve this answ
might be the possible causes for floating point exception error in C++?UpdateCancelAnswer Wiki4 Answers Prateek KajariaWritten 78w agoFloating Point Exceptions may arise due to the following -Invalid operationThe exception is caused if the result of an operation has no mathematical value or
Floating Point Exception Error In Fluent
cannot be represented.Division by zeroThe exception is caused if a divide operation has a zero floating point exception fortran divisor and a dividend that is not zero, an infinity or a NaN.OverflowThe exception is caused if the absolute value of the floating point exception python result of an operation, produced after rounding, is greater than the maximum positive normalized number for the destination precision.UnderflowThe exception is caused if the absolute value of the result of an operation, produced before rounding, is less than http://stackoverflow.com/questions/4236853/floating-point-exception-c-why-and-what-is-it the minimum positive normalized number for the destination precision, and the rounded result is inexact.InexactThe exception is caused if the result of an operation is not equivalent to the value that would be produced if the operation were performed with unbounded precision and exponent range.Invalid operation is caused when you are finding out the square root of a negative number, or the logarithm of a negative number. Yes, the square root of a negative number https://www.quora.com/What-might-be-the-possible-causes-for-floating-point-exception-error-in-C++ makes sense in the context of complex numbers, but there is no way to represent it in computers. These generally result is a +nan, -nan (Not a Number). Other operations that might lead to a NaN - 0/0, infinity/infinity, 0*infinity etc.Divide By Zero is raised when an operation of finite operands gives an infinite result. For Example - 1/0, log(0) etc. These generally result in +inf, -inf.IEEE Floating numbers have three components - the sign, the exponent, and the mantissa.The figure shows the layout for single (32-bit) and double (64-bit) precision floating-point values. The exponent, sign and mantissa together make up the number. There is a maximum and a minimum possible value for any of the layout. If the number to be represented exceeds the maximum possible value that can be represented, an overflow occurs. Similarly, if the number to be represented falls behind the minimum possible value, an underflow occurs.The system causes the floating-point exception signal (SIGFPE) to be raised if a floating-point exception occurs. Because this is not the default behavior, the operating system provides subroutines to change the state of the process so the signal is enabled. When a floating-point exception raises the SIGFPE signal, the process terminates and produces a core file if no signal-handler subroutine is present in the process. Otherwise, the process calls the signal-handler subroutine.IEEE floati
defined as part of the IEEE 754 standard, and are implemented in today's computers at the hardware level by various PC chipmakers. This help file topic http://www.ucalc.com/fmphelp/FPU.htm is mainly concerned with explaining how to implement these settings from uCalc http://www.umiacs.umd.edu/~resnik/ling645_sp2002/cmu_manual/node19.html Fast Math Parser, and not so much with why or when to use them. For a detailed explanation of the FPU, see the IA-32 Intel Architecture Software Developer’s Manual, which is available at www.intel.com. Also consult documentation for the IEEE 754 standard. Visit www.ieee.org to find out more. uCalc Fast floating point Math Parser keeps two separate FPU control word settings, which are insulated one from the other. One is for uCalc Fast Math Parser, and the other is for your host program. If you have another DLL component that uses a different FPU setting, this will not affect uCalc Fast Math Parser or vice-versa. Things run most efficiently if uCalc's FPU word is the same floating point exception as that of your host program. If you mask a particular exception, then instead of raising an error when this exception is encountered, a special value will be returned. For instance, if the division by 0 exception is masked (with uc_FPU_Mask_ZeroDivide), then 1/0 would return Inf (for Infinity) instead of raising a Divison by 0 error. Note: Managed code under Visual Studio 2012 does not work well with unmasked settings. Therefore, it is best to leave the FPU control word with the default settings in C#, VC++, and VB.NET. Here is the list of uCalc FPU commands: uc_SetFPU uc_SetFPU_HostProg uc_GetFPU uc_GetFPU_HostProg uc_ToggleFPU uc_ToggleFPU_HostProg Here is the list of FPU Control word settings: uc_FPU_Mask_InvalidOp uc_FPU_Mask_DenormalOp uc_FPU_Mask_ZeroDivide uc_FPU_Mask_Overflow uc_FPU_Mask_Underflow uc_FPU_Mask_PrecisionLoss uc_FPU_Precision_Single uc_FPU_Precision_Double uc_FPU_Precision_Extended uc_FPU_Round_Even uc_FPU_Round_Down uc_FPU_Round_Up uc_FPU_Round_Toward If you wanted to toggle the Division by 0 bit for instance, you'd do it like this (in VB): ucFPU(uc_ToggleFPU, uc_FPU_Mask_ZeroDivide) where the first argument is a command, the second argument is always 0, and the third argument is the particular setting you want to toggle. If the ZeroDivide mask was off, uc_ToggleFP
is unclear or undesirable. Exceptions can be ignored, in which case some default action is taken, such as returning a special value. When trapping is enabled for an exception, a error is signalled whenever that exception occurs. These are the possible floating point exceptions: :underflow This exception occurs when the result of an operation is too small to be represented as a normalized float in its format. If trapping is enabled, the floating-point-underflow condition is signalled. Otherwise, the operation results in a denormalized float or zero. :overflow This exception occurs when the result of an operation is too large to be represented as a float in its format. If trapping is enabled, the floating-point-overflow exception is signalled. Otherwise, the operation results in the appropriate infinity. :inexact This exception occurs when the result of a floating point operation is not exact, i.e. the result was rounded. If trapping is enabled, the extensions:floating-point-inexact condition is signalled. Otherwise, the rounded result is returned. :invalid This exception occurs when the result of an operation is ill-defined, such as (/ 0.0 0.0). If trapping is enabled, the extensions:floating-point-invalid condition is signalled. Otherwise, a quiet NaN is returned. :divide-by-zero This exception occurs when a float is divided by zero. If trapping is enabled, the divide-by-zero condition is signalled. Otherwise, the appropriate infinity is returned. Raymond Toy Mon Jul 14 09:11:27 EDT 1997