Power Overflow Error
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Sql Power Function
each other. Join them; it only takes a minute: Sign up using POWER() function in SQL SERVER 2012 causing Arithmetic overflow error converting expression to data type float up vote 0 down vote favorite I am trying to do the following calculation: DECLARE @X Decimal(18,6); DECLARE @Y Decimal(20,16); SET @X = 0.002700; SET @Y = 0.0027770000000000; SELECT 200 arithmetic overflow error for type int * ( POWER(@Y, ( -1 / ( 2 * @X ))) - 1 ); However this results in: Msg 8115, Level 16, State 2, Line 7 Arithmetic overflow error converting expression to data type float. I have tried casting to float but to no avail. Any ideas what I am missing here? sql tsql math sql-server-2012 share|improve this question edited Jul 24 '15 at 17:27 shA.t 8,47441542 asked Jul 24 '15 at 17:24 Kamran Farzami 2,6572724 add a comment| 2 Answers 2 active oldest votes up vote 2 down vote accepted A float data type can store a maximum value of about 1.79E+308, but the result of this expression is approximately 5.16E+475. See http://tinyurl.com/oy7deu8 share|improve this answer answered Jul 24 '15 at 17:38 Razvan Socol 1,366614 add a comment| up vote 1 down vote May be there is a way to do this. You are trying to calculate @y power (-1/2*@x). This is equivalent to calculating e power (log(y)*(-1/2x)). You could calculate it as select 200 * POWER(2.718281828, log(@Y) * (-1/(2*
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 Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow http://stackoverflow.com/questions/31616365/using-power-function-in-sql-server-2012-causing-arithmetic-overflow-error-conv Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Power of a decimal number producing OverflowError up vote 1 down vote favorite I have a function that returns log10 values. On converting them to normal http://stackoverflow.com/questions/11115538/power-of-a-decimal-number-producing-overflowerror numbers, I obtain an overflow error. OverflowError: (34, 'Numerical result out of range') I checked the log values and this error occurs for say, 508.038057662. I reckon that while python easily performs 10**509, this error must be due to the decimal points overflowing the register. Therefore I tried using numpy.float64 like such, result = np.array([ (10**multiplicity(timeseries,om,ph,bins,pos_arr)) for ph in np.linspace(0,twopi,num = bins+1)], dtype = np.float64) The error is the same. Am I declaring the float64 wrong?? Here multiplicity() is the function that returns log10 values. I require a "list" of values. python numpy share|improve this question asked Jun 20 '12 at 8:24 Mellkor 6831513 Well .... 10^509 is > 2^64 ... or am I missing something obvious, here? –Noon Silk Jun 20 '12 at 8:30 10**509 = 100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000L using Python –Mellkor Jun 20 '12 at 8:34 Yeah, but as the answer-er below says, that's o
of integer overflow. All digits are set to the maximum 9 and the next increment of the white digit causes a cascade of carry-over additions setting all digits to 0, but there is no higher digit to change https://en.wikipedia.org/wiki/Integer_overflow to a 1, so the counter resets to zero. This is wrapping in contrast to saturating. In computer programming, an integer overflow occurs when an arithmetic operation attempts to create a numeric value that is too large to be represented within the available storage space. For example, taking the arithmetic mean of two numbers by adding them and dividing by two, as done in many search algorithms, causes error if overflow error the sum (although not the resulting mean) is too large to be represented, and hence overflows.[1] The most common result of an overflow is that the least significant representable bits of the result are stored; the result is said to wrap. On some processors like graphics processing units (GPUs) and digital signal processors (DSPs), the result saturates; that is, once the maximum value is reached, any attempt to increase it always power overflow error returns the maximum integer value. Contents 1 Origin 2 Security ramifications 3 Methods to mitigate integer overflow problems 4 Example 5 See also 6 References 7 External links Origin[edit] The register width of a processor determines the range of values that can be represented. Typical binary register widths include: 8 bits: maximum representable value 28 − 1 = 255 16 bits: maximum representable value 216 − 1 = 65,535 32 bits: maximum representable value 232 − 1 = 4,294,967,295 (the most common width for personal computers as of 2005[update]), 64 bits: maximum representable value 264 − 1 = 18,446,744,073,709,551,615 (the most common width for personal computers, but not necessarily their operating systems, as of 2015[update]), 128 bits: maximum representable value 2128 − 1 = 340,282,366,920,938,463,463,374,607,431,768,211,455 Since an arithmetic operation may produce a result larger than the maximum representable value, a potential error condition may result. In the programming language C, signed integer overflow causes undefined behavior, while unsigned integer overflow causes the number to be reduced modulo a power of two, meaning that unsigned integers wrap around on overflow. This wrap around is the cause of the famous Split Screen in Pac-Man.[2] A wrap around corresponds to a case where, e.g., if the addition of two positive integers pr