本文整理汇总了C#中Rational.CompareTo方法的典型用法代码示例。如果您正苦于以下问题:C# Rational.CompareTo方法的具体用法?C# Rational.CompareTo怎么用?C# Rational.CompareTo使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Rational
的用法示例。
在下文中一共展示了Rational.CompareTo方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: CompareToTest
public void CompareToTest()
{
Rational target = new Rational(1, 3);
Assert.AreEqual(target.CompareTo(new Rational(1, 2)), -1);
Assert.AreEqual(target.CompareTo(new Rational(1, 3)), 0);
Assert.AreEqual(target.CompareTo(new Rational(1, 4)), 1);
}
示例2: MultiplyRound
public static BigDecimal MultiplyRound(BigDecimal x, Rational f)
{
if (f.CompareTo(BigInteger.Zero) == 0)
return BigDecimal.Zero;
/* Convert the rational value with two digits of extra precision
*/
var mc = new MathContext(2 + x.Precision);
BigDecimal fbd = f.ToBigDecimal(mc);
/* and the precision of the product is then dominated by the precision in x
*/
return MultiplyRound(x, fbd);
}
示例3: Log
public static BigDecimal Log(Rational r, MathContext mc)
{
/* the value is undefined if x is negative.
*/
if (r.CompareTo(Rational.Zero) <= 0)
throw new ArithmeticException("Cannot take log of negative " + r);
if (r.CompareTo(Rational.One) == 0)
return BigDecimal.Zero;
/* log(r+epsr) = log(r)+epsr/r. Convert the precision to an absolute error in the result.
* eps contains the required absolute error of the result, epsr/r.
*/
double eps = PrecisionToError(System.Math.Log(r.ToDouble()), mc.Precision);
/* Convert this further into a requirement of the relative precision in r, given that
* epsr/r is also the relative precision of r. Add one safety digit.
*/
var mcloc = new MathContext(1 + ErrorToPrecision(eps));
BigDecimal resul = Log(r.ToBigDecimal(mcloc));
return resul.Round(mc);
}
示例4: PowRound
public static BigDecimal PowRound(BigDecimal x, Rational q)
{
/** Special cases: x^1=x and x^0 = 1
*/
if (q.CompareTo(BigInteger.One) == 0)
return x;
if (q.Sign == 0)
return BigDecimal.One;
if (q.IsInteger) {
/* We are sure that the denominator is positive here, because normalize() has been
* called during constrution etc.
*/
return PowRound(x, q.Numerator);
}
/* Refuse to operate on the general negative basis. The integer q have already been handled above.
*/
if (x.CompareTo(BigDecimal.Zero) < 0)
throw new ArithmeticException("Cannot power negative " + x);
if (q.IsIntegerFraction) {
/* Newton method with first estimate in double precision.
* The disadvantage of this first line here is that the result must fit in the
* standard range of double precision numbers exponents.
*/
double estim = System.Math.Pow(x.ToDouble(), q.ToDouble());
var res = new BigDecimal(estim);
/* The error in x^q is q*x^(q-1)*Delta(x).
* The relative error is q*Delta(x)/x, q times the relative error of x.
*/
var reserr = new BigDecimal(0.5*q.Abs().ToDouble()
*x.Ulp().Divide(x.Abs(), MathContext.Decimal64).ToDouble());
/* The main point in branching the cases above is that this conversion
* will succeed for numerator and denominator of q.
*/
int qa = q.Numerator.ToInt32();
int qb = q.Denominator.ToInt32();
/* Newton iterations. */
BigDecimal xpowa = PowRound(x, qa);
for (;;) {
/* numerator and denominator of the Newton term. The major
* disadvantage of this implementation is that the updates of the powers
* of the new estimate are done in full precision calling BigDecimal.pow(),
* which becomes slow if the denominator of q is large.
*/
BigDecimal nu = res.Pow(qb).Subtract(xpowa);
BigDecimal de = MultiplyRound(res.Pow(qb - 1), q.Denominator);
/* estimated correction */
BigDecimal eps = nu.Divide(de, MathContext.Decimal64);
BigDecimal err = res.Multiply(reserr, MathContext.Decimal64);
int precDiv = 2 + ErrorToPrecision(eps, err);
if (precDiv <= 0) {
/* The case when the precision is already reached and any precision
* will do. */
eps = nu.Divide(de, MathContext.Decimal32);
} else {
eps = nu.Divide(de, new MathContext(precDiv));
}
res = SubtractRound(res, eps);
/* reached final precision if the relative error fell below reserr,
* |eps/res| < reserr
*/
if (eps.Divide(res, MathContext.Decimal64).Abs().CompareTo(reserr) < 0) {
/* delete the bits of extra precision kept in this
* working copy.
*/
return res.Round(new MathContext(ErrorToPrecision(reserr.ToDouble())));
}
}
}
/* The error in x^q is q*x^(q-1)*Delta(x) + Delta(q)*x^q*log(x).
* The relative error is q/x*Delta(x) + Delta(q)*log(x). Convert q to a floating point
* number such that its relative error becomes negligible: Delta(q)/q << Delta(x)/x/log(x) .
*/
int precq = 3 + ErrorToPrecision((x.Ulp().Divide(x, MathContext.Decimal64)).ToDouble()
/System.Math.Log(x.ToDouble()));
/* Perform the actual calculation as exponentiation of two floating point numbers.
*/
return Pow(x, q.ToBigDecimal(new MathContext(precq)));
}