private void UpdateMxSmall(long x1, long x2, int[] r)
{
for (var l = 0; l < r.Length; l++)
{
var i = r[l];
var x = niSmall[i];
var sqrt = IntegerMath.FloorSquareRoot(x);
var xover = Math.Min(sqrt * C3 / C4, x);
xover = x / (x / xover);
var s = (long)0;
var jmin = UpToOdd(Math.Max(imax / i + 1, x / (x2 + 1) + 1));
var jmax = DownToOdd(Math.Min(xover, x / x1));
//s += JSumSmall1(x, jmin, ref jmax, x1);
s += JSumSmall2(x, jmin, jmax, x1);
var kmin = Math.Max(1, x1);
var kmax = Math.Min(x / xover - 1, x2);
s += KSumSmall1Mu(x, kmin, ref kmax, x1);
//s += KSumSmall1M(x, kmin, ref kmax, x1);
s += KSumSmall2(x, kmin, kmax, x1);
mx[i] -= s;
}
}
private void UpdateValue(long x1, long x2, long imin, long increment)
{
var s1 = (long)0;
for (var i = imin; i <= imax; i += increment)
{
var mui = mu[i];
if (mui == 0)
{
continue;
}
var x = n / i;
var sqrt = IntegerMath.FloorSquareRoot(x);
var xover = Math.Min(sqrt * 7 / 5, x); // 7/5 ~= sqrt(2)
xover = x / (x / xover);
var s2 = (long)0;
var jmin = UpToOdd(Math.Max(imax / i + 1, x / (x2 + 1) + 1));
var jmax = DownToOdd(Math.Min(xover, x / x1));
s2 += JSum1(x, jmin, ref jmax, x1);
s2 += JSum2(x, jmin, jmax, x1);
var kmin = Math.Max(1, x1);
var kmax = Math.Min(x / xover - 1, x2);
s2 += KSum1(x, kmin, ref kmax, x1);
s2 += KSum2(x, kmin, kmax, x1);
s1 += mui * s2;
}
Interlocked.Add(ref sum, s1);
}
public long Evaluate(long n)
{
if (n <= 0)
{
return(0);
}
if (n > nmax)
{
throw new ArgumentException("n");
}
sqrt = IntegerMath.FloorSquareRoot(n);
var imax = Math.Max(1, n / u);
var mx = new long[imax + 1];
ProcessBatch(mx, n, imax, mlo, 1, ulo);
if (ulo < u)
{
var mhi = new int[maximumBatchSize];
var m0 = mlo[ulo - 1];
for (var x = ulo + 1; x <= u; x += maximumBatchSize)
{
var xstart = x;
var xend = Math.Min(xstart + maximumBatchSize - 1, u);
m0 = mobius.GetSums(xstart, xend + 1, mhi, m0);
ProcessBatch(mx, n, imax, mhi, xstart, xend);
}
}
return(ComputeMx(mx, imax));
}
private void UpdateMx(long[] m, long x1, long x2)
{
// Add the contributions to each mx from all the small m values.
for (var i = 1; i <= imax; i++)
{
var x = xi[i];
var sqrt = IntegerMath.FloorSquareRoot(x);
var jmin = UpToOdd(Math.Max(3, x / (x2 + 1) + 1));
var jmax = DownToOdd(Math.Min(sqrt, x / x1));
var kmin = Math.Max(1, x1);
var kmax = Math.Min(x2, x / sqrt - 1);
var s = (long)0;
s += JSum(x, jmin, ref jmax, m, x1);
for (var j = jmin; j <= jmax; j += 2)
{
s += m[x / j - x1];
}
s += KSum(x, kmin, ref kmax, m, x1);
var current = T1Odd(x / kmin);
for (var k = kmin; k <= kmax; k++)
{
var next = T1Odd(x / (k + 1));
s += (current - next) * m[k - x1];
current = next;
}
Interlocked.Add(ref mx[i], -s);
}
}
private int F2Small(UInt128 n, long x1, long x2)
{
var xmin = UpToOdd(Math.Max(1, x1));
var xmax = DownToOdd(Math.Min((long)IntegerMath.FloorSquareRoot(n), x2));
var s = 0;
var x = xmax;
var xx = (ulong)x * (ulong)x;
var dx = 4 * (ulong)x - 4;
while (x >= xmin)
{
Debug.Assert(xx == (ulong)x * (ulong)x);
var mu = values[(x - x1) >> 1];
if (mu > 0)
{
s += T2Isolated(n / xx);
}
else if (mu < 0)
{
s -= T2Isolated(n / xx);
}
xx -= dx;
dx -= 8;
x -= 2;
}
return(s & 3);
}
public Integer Evaluate(Integer n)
{
var xmax = IntegerMath.FloorSquareRoot(n);
var s = Evaluate(n, 1, (long)xmax);
return(2 * s - xmax * xmax);
}
private int F2SmallParallel(long x1, long x2)
{
var xmin = UpToOdd(Math.Max(1, x1));
var xmax = DownToOdd(Math.Min((long)IntegerMath.FloorSquareRoot(n), x2));
if (threads <= 1)
{
return(F2SmallParallel(0, xmin, xmax, x1, 2));
}
var xsmall = DownToOdd(Math.Max(xmin, Math.Min(smallCutoff, xmax)));
var s = 0;
for (var x = xmin; x < xsmall; x += 2)
{
s += IntegerMath.Mobius(x) * T2Parallel(n / ((UInt128)x * (UInt128)x));
}
var tasks = new Task <int> [threads];
var increment = 2 * threads;
for (var thread = 0; thread < threads; thread++)
{
var worker = thread;
var offset = 2 * thread;
tasks[thread] = Task.Factory.StartNew(() => F2SmallParallel(worker, xsmall + offset, xmax, x1, increment));
}
Task.WaitAll(tasks);
s += tasks.Select(task => task.Result).Sum();
return(s & 3);
}
public BigInteger Evaluate(BigInteger n)
{
this.n = n;
sum = 0;
modsum = 0;
var xmax = (long)IntegerMath.FloorSquareRoot(n);
if (threads <= 1)
{
Evaluate(1, xmax);
}
else
{
EvaluateParallel(1, xmax);
}
if (odd)
{
var xmax2 = (xmax + 1) / 2;
if (mod2)
{
return((2 * (int)(modsum & 1) - (int)(xmax2 & 1)) & 3);
}
return(2 * (BigInteger)sum - (BigInteger)xmax2 * xmax2);
}
return(2 * (BigInteger)sum - (BigInteger)xmax * xmax);
}
public int TauSumInnerParallel(UInt128 y, out ulong sqrt)
{
sqrt = (ulong)IntegerMath.FloorSquareRoot((BigInteger)y);
var sum = 0;
// Create consumers.
var queue = new BlockingCollection <WorkItem>();
var consumers = Math.Max(1, threads);
var tasks = new Task[consumers];
for (var consumer = 0; consumer < consumers; consumer++)
{
var thread = consumer;
tasks[consumer] = Task.Factory.StartNew(() => ConsumeTauInnerSumItems(thread, queue, y, ref sum));
}
// Produce work items.
var slowLimit = (ulong)Math.Pow(sqrt, 0.8);
TauSumInnerParallel(queue, 1, slowLimit);
TauSumInnerParallel(queue, slowLimit, sqrt + 1);
// Wait for completion.
queue.CompleteAdding();
Task.WaitAll(tasks);
return(sum & 1);
}
private void UpdateMx(long x1, long x2, long offset, long increment)
{
// Add the contributions to each mx from all the small m values.
for (var i = offset; i <= imax; i += increment)
{
var x = xi[i];
var sqrt = IntegerMath.FloorSquareRoot(x);
var s = (long)0;
var jmin = UpToOdd(Math.Max(3, x / (x2 + 2) + 1));
var jmax = DownToOdd(Math.Min(sqrt, x / x1));
s += JSum(x, jmin, ref jmax, x1);
for (var j = jmin; j <= jmax; j += 2)
{
s += m[(x / j - x1) >> 1];
}
var kmin = Math.Max(1, x1);
var kmax = Math.Min(x / sqrt - 1, x2 + 1);
s += KSum(x, kmin, ref kmax, x1);
var current = T1Odd(x / kmin);
for (var k = kmin; k <= kmax; k++)
{
var next = T1Odd(x / (k + 1));
s += (current - next) * m[(k - x1) >> 1];
current = next;
}
mx[i] -= s;
}
}
private void UpdateMx(long x1, long x2, int[] r)
{
#if TIMER
var timer = new ThreadStopwatch();
timer.Restart();
#endif
for (var l = 0; l < r.Length; l++)
{
var i = r[l];
var x = n / i;
var sqrt = IntegerMath.FloorSquareRoot(x);
var xover = Math.Min(sqrt * C3 / C4, x);
xover = x / (x / xover);
var s = (long)0;
var jmin = UpToOdd(Math.Max(imax / i + 1, x / (x2 + 1) + 1));
var jmax = DownToOdd(Math.Min(xover, x / x1));
//s += JSum1(x, jmin, ref jmax, x1);
s += JSum2(x, jmin, jmax, x1);
var kmin = Math.Max(1, x1);
var kmax = Math.Min(x / xover - 1, x2);
s += KSum1(x, kmin, ref kmax, x1);
s += KSum2(x, kmin, kmax, x1);
mx[i] -= s;
}
#if TIMER
Console.WriteLine("x1 = {0:F3}, length = {1:F3}, elapsed = {2:F3} msec",
(double)x1, (double)(x2 - x1 + 1), (double)timer.ElapsedTicks / ThreadStopwatch.Frequency * 1000);
#endif
}
private void UpdateMx(long[] mx, long n, int[] m, long x1, long x2, long imin, long imax, long increment)
{
for (var i = imin; i <= imax; i += increment)
{
if (values[i - 1] == 0)
{
continue;
}
var x = n / i;
var sqrt = IntegerMath.FloorSquareRoot(x);
var s = (long)0;
var jmin = UpToOdd(Math.Max(imax / i + 1, x / (x2 + 1) + 1));
var jmax = DownToOdd(Math.Min(sqrt, x / x1));
s += JSum1(x, jmin, ref jmax, m, x1);
s += JSum2(x, jmin, jmax, m, x1);
var kmin = Math.Max(1, x1);
var kmax = Math.Min(x / sqrt - 1, x2);
s += KSum1(x, kmin, ref kmax, m, x1);
s += KSum2(x, kmin, kmax, m, x1);
mx[i] -= s;
}
}
public ulong Evaluate(ulong n)
{
var xmax = IntegerMath.FloorSquareRoot(n);
var s = Evaluate(n, 1, xmax);
var xmax2 = T1(xmax);
return(2 * s - (ulong)xmax2 * (ulong)xmax2);
}
private int SumTwoToTheOmega(BigInteger x)
{
// sum(2^w(d), d=[1,x]) mod 4 = sum(mu(d)TauSum(x/d^2), d=[1,floor(sqrt(x))]) mod 4
var limit = IntegerMath.FloorSquareRoot(x);
if (limit <= ulong.MaxValue)
{
return(SumTwoToTheOmega((UInt128)x, (ulong)limit));
}
throw new NotImplementedException();
}
private BigInteger T3Worker(BigInteger n, BigInteger root3, int worker, int workers)
{
var s = (BigInteger)0;
for (var z = (BigInteger)1 + 2 * worker; z <= root3; z += 2 * workers)
{
var nz = n / z;
var sqrtnz = IntegerMath.FloorSquareRoot(nz);
var t = hyperbolicSum[worker].Evaluate(nz, (long)z + 2, (long)sqrtnz);
s += 2 * t - IntegerMath.Power(T1(sqrtnz), 2) + T1(nz / z);
}
return(s);
}
public MertensRangeInverted(MobiusRange mobius, long nmax)
{
this.mobius = mobius;
this.nmax = nmax;
threads = mobius.Threads;
sum2 = 0;
var sqrt = IntegerMath.FloorSquareRoot(nmax);
u = Math.Max((long)IntegerMath.FloorPower((BigInteger)nmax, 2, 3) * C1 / C2, sqrt + 1);
ulo = Math.Max(Math.Min(u, maximumBatchSize), minimumLowSize);
mlo = new int[ulo];
values = new sbyte[ulo];
mobius.GetValuesAndSums(1, ulo + 1, values, mlo, 0);
}
public BigInteger T3Slow(BigInteger n)
{
//Console.WriteLine("T3({0})", n);
var sum = (BigInteger)0;
var root3 = IntegerMath.FloorRoot(n, 3);
if (threads == 0)
{
for (var z = (BigInteger)1; z <= root3; z++)
{
var nz = n / z;
var sqrtnz = IntegerMath.FloorSquareRoot(nz);
var t = hyperbolicSum[0].Evaluate(nz, (long)z + 1, (long)sqrtnz);
sum += 2 * t - sqrtnz * sqrtnz + nz / z;
}
}
else
{
var tasks = new Task[threads];
for (var i = 0; i < threads; i++)
{
var thread = i;
tasks[i] = new Task(() =>
{
var s = (BigInteger)0;
for (var z = (BigInteger)1 + thread; z <= root3; z += threads)
{
var nz = n / z;
var sqrtnz = IntegerMath.FloorSquareRoot(nz);
var t = hyperbolicSum[thread].Evaluate(nz, (long)z + 1, (long)sqrtnz);
s += 2 * t - sqrtnz * sqrtnz + nz / z;
}
lock (this)
{
sum += s;
}
});
tasks[i].Start();
}
Task.WaitAll(tasks);
}
sum = 3 * sum + root3 * root3 * root3;
return(sum);
}
private void UpdateMxSmall(long[] mx, long n, int[] m, long x1, long x2, long imax, long min, long increment)
{
var kmin = Math.Max(1, x1) + min;
var kmax = Math.Min(sqrt, x2);
var s1 = (long)0;
for (var k = kmin; k <= kmax; k += increment)
{
var ilast = IntegerMath.Min(imax, n / (k * k));
var nk1 = n / k;
var nk2 = n / (k + 1);
while (ilast > 0 && nk2 / ilast < IntegerMath.FloorSquareRoot(n / ilast))
{
--ilast;
}
ilast = DownToOdd(ilast);
var s2 = (long)0;
s2 += ISum1(nk1, nk2, 1, ref ilast);
s2 += ISum2(nk1, nk2, 1, ilast);
s1 += m[k - x1] * s2;
}
Interlocked.Add(ref sum2, s1);
}
private BigInteger YTan(BigInteger a)
{
return(T1(IntegerMath.FloorSquareRoot(n / a)));
}
public int Evaluate(UInt128 n)
{
this.n = n;
var sum = 0;
sqrtn = (long)IntegerMath.FloorSquareRoot(n);
kmax = (int)IntegerMath.FloorLog(n, 2);
imax = (long)IntegerMath.FloorPower(n, 1, 5) * C1 / C2;
xmax = DownToOdd(imax != 0 ? Xi(imax) : sqrtn);
xmed = DownToOdd(Math.Min((long)(IntegerMath.FloorPower(n, 2, 7) * C3 / C4), xmax));
var dmax = (long)IntegerMath.Min(n / IntegerMath.Square((UInt128)xmed) + 1, n);
mobius = new MobiusOddRangeAdditive((xmax + 2) | 1, threads);
divisors = new DivisorOddRangeAdditive((dmax + 2) | 1, threads);
xi = new long[imax + 1];
mx = new long[imax + 1];
// Initialize xi.
for (var i = 1; i <= imax; i++)
{
xi[i] = Xi(i);
}
values = new sbyte[mobiusBatchSize >> 1];
m = new int[mobiusBatchSize >> 1];
m0 = 0;
dsums = new ulong[divisorBatchSize >> 1];
d1 = d2 = 1;
// Process small x values.
for (var x = (long)1; x <= xmed; x += mobiusBatchSize)
{
var xfirst = x;
var xlast = Math.Min(xmed, xfirst + mobiusBatchSize - 2);
m0 = mobius.GetValuesAndSums(xfirst, xlast + 2, values, m, m0);
sum += Pi2Small(xfirst, xlast);
UpdateMx(xfirst, xlast);
}
// Process medium x values.
#if true
for (var x = xmed + 2; x <= xmax; x += mobiusBatchSize)
{
var xfirst = x;
var xlast = Math.Min(xmax, xfirst + mobiusBatchSize - 2);
m0 = mobius.GetValuesAndSums(xfirst, xlast + 2, values, m, m0);
sum += Pi2Medium(xfirst, xlast);
UpdateMx(xfirst, xlast);
}
#else
for (var x = xmax; x > xmed; x -= mobiusBatchSize)
{
var xlast = x;
var xfirst = Math.Max(xmed + 2, xlast - mobiusBatchSize + 2);
m0 = mobius.GetValuesAndSums(xfirst, xlast + 2, values, m, m0);
sum += Pi2Medium(xfirst, xlast);
UpdateMx(xfirst, xlast);
}
#endif
// Process large x values.
sum += Pi2Large();
// Adjust for final parity of F2.
sum -= IntegerMath.Mertens(kmax);
// Compute final result.
sum &= 3;
Debug.Assert((sum & 1) == 0);
sum >>= 1;
return((sum + (n >= 2 ? 1 : 0)) % 2);
}
private long Xi(long i)
{
return((long)IntegerMath.FloorSquareRoot(n / (ulong)i));
}
private int F2Medium(UInt128 n, long x1, long x2)
{
var xmin = UpToOdd(Math.Max(1, x1));
var xmax = DownToOdd(Math.Min((long)IntegerMath.FloorSquareRoot(n), x2));
var s = 0;
var x = xmax;
var beta = (long)(n / ((ulong)x + 2));
var eps = (long)(n % ((ulong)x + 2));
var delta = (long)(n / (ulong)x - (ulong)beta);
var gamma = (long)(2 * (UInt128)beta - (UInt128)x * (UInt128)delta);
var alpha = beta / (x + 2);
var alphax = (alpha + 1) * (x + 2);
var lastalpha = (long)-1;
var count = 0;
while (x >= xmin)
{
eps += gamma;
if (eps >= x)
{
++delta;
gamma -= x;
eps -= x;
if (eps >= x)
{
++delta;
gamma -= x;
eps -= x;
if (eps >= x)
{
break;
}
}
}
else if (eps < 0)
{
--delta;
gamma += x;
eps += x;
}
beta += delta;
gamma += delta << 2;
alphax -= 2 * alpha + 2;
if (alphax <= beta)
{
++alpha;
alphax += x;
if (alphax <= beta)
{
++alpha;
alphax += x;
if (alphax <= beta)
{
break;
}
}
}
Debug.Assert(eps == (BigInteger)n % x);
Debug.Assert(beta == (BigInteger)n / x);
Debug.Assert(delta == beta - (BigInteger)n / (x + 2));
Debug.Assert(gamma == 2 * beta - (BigInteger)(x - 2) * delta);
Debug.Assert(alpha == n / ((BigInteger)x * x));
var mu = values[(x - x1) >> 1];
if (mu != 0)
{
if (alpha != lastalpha)
{
count &= 3;
if (count != 0)
{
s += count * T2Sequential(lastalpha);
count = 0;
}
lastalpha = alpha;
}
count += mu;
}
x -= 2;
}
count &= 3;
if (count != 0)
{
s += count * T2Sequential(lastalpha);
}
var xx = (ulong)x * (ulong)x;
var dx = 4 * (ulong)x - 4;
while (x >= xmin)
{
Debug.Assert(xx == (ulong)x * (ulong)x);
var mu = values[(x - x1) >> 1];
if (mu > 0)
{
s += T2Sequential((long)(n / xx));
}
else if (mu < 0)
{
s -= T2Sequential((long)(n / xx));
}
xx -= dx;
dx -= 8;
x -= 2;
}
return(s & 3);
}
public int TauSumInnerLarge(UInt128 y, out ulong sqrt)
{
sqrt = (ulong)IntegerMath.FloorSquareRoot((BigInteger)y);
return(TauSumInnerWorkerLarge(y, 1, sqrt + 1));
}
private Integer ProcessRegion(Integer w, Integer h, Integer a1, Integer b1, Integer a2, Integer b2, Integer x0, Integer y0)
{
// The hyperbola is defined by H(x, y): x*y = n.
// Line L0 has slope m0 = -a2/b2.
// Line L1 has slope m1 = -a1/b1.
// Both lines pass through P01 = (x0, y0).
// The region is a parallelogram with the left side bounded L1,
// the bottom bounded by L0, with width w (along L0) and height h
// (along L1). The lower-left corner is P01 (the intersection of
// L0 and L1) and represents (u, v) = (0, 0).
// Both w and h are counted in terms of lattice points, not length.
// For the purposes of counting, the lattice points on lines L0 and L1
// have already been counted.
// Note that b2*a1 - a2*b1 = 1 because
// m0 and m1 are Farey neighbors, e.g. 1 & 2 or 3/2 & 2 or 8/5 & 5/3
// The equations that define (u, v) in terms of (x, y) are:
// u = b1*(y-y0)+a1*(x-x0)
// v = b2*(y-y0)+a2*(x-x0)
// And therefore the equations that define (x, y) in terms of (u, v) are:
// x = x0-b1*v+b2*u
// y = y0+a1*v-a2*u
// Since all parameters are integers and b2*a1 - a2*b1 = 1,
// every lattice point in (x, y) is a lattice point in (u, v)
// and vice-versa.
// Geometrically, the UV coordinate system is the composition
// of a translation and two shear mappings. The UV-based hyperbola
// is essentially a "mini" hyperbola that resembles the full
// hyperbola in that:
// - The equation is still a hyperbola (although it is now a quadratic in two variables)
// - The endpoints of the curve are roughly tangent to the axes
// We process the region by "lopping off" the maximal isosceles
// right triangle in the lower-left corner and then processing
// the two remaining "slivers" in the upper-left and lower-right,
// which creates two smaller "micro" hyperbolas, which we then
// process recursively.
// When we are in the region of the original hyperbola where
// the curvature is roughly constant, the deformed hyperbola
// will in fact resemble a circular arc.
// A line with -slope = 1 in UV-space has -slope = (a2+a1)/(b2+b1)
// in XY-space. We call this m2 and the line defining the third side
// of the triangle as L2 contain point P2 tangent to the hyperbola.
// This is all slightly complicated by the fact that diagonal that
// defines the region that we "lop off" may be broken and shifted
// up or down near the tangent point. As a result we actually have
// P2a and P2b and L2a and L2b.
// We can measure work in units of X because it is the short
// axis and it ranges from cbrt(n) to sqrt(n). If we did one
// unit of work for each X coordinate we would have an O(sqrt(n))
// algorithm. But because there is only one lattice point on a
// line with slope m per the denominator of m in X and because
// the denominator of m roughly doubles for each subdivision,
// there will be less than one unit of work for each unit of X.
// As a result, each iteration reduces the work by about
// a factor of two resulting in 1 + 2 + 4 + ... + sqrt(r) steps
// or O(sqrt(r)). Since the sum of the sizes of the top-level
// regions is O(sqrt(n)), this gives a O(n^(1/4)) algorithm for
// nearly constant curvature.
// However, since the hyperbola is increasingly non-circular for small
// values of x, the subdivision is not nearly as beneficial (and
// also not symmetric) so it is only worthwhile to use region
// subdivision on regions where cubrt(n) < n < sqrt(n).
// The sqrt(n) bound comes from symmetry and the Dirichlet
// hyperbola method, which we also use. The cubrt(n)
// bound comes from the fact that the second deriviative H''(x)
// exceeds one at (2n)^(1/3) ~= 1.26*cbrt(n). Since we process
// regions with adjacent integral slopes at the top level, by the
// time we get to cbrt(n), the size of the region is at most
// one, so we might as well process those values using the
// naive approach of summing y = n/x.
// Finally, at some point the region becomes small enough and we
// can just count points under the hyperbola using whichever axis
// is shorter. This is quite a bit harder than computing y = n/x
// because the transformations we are using result in a general
// quadratic in two variables. Nevertheless, with some
// preliminary calculations, each value can be calculated with
// a few additions, a square root and a division.
// Sum the lattice points.
var sum = (Integer)0;
// Process regions on the stack.
while (true)
{
// Process regions iteratively.
while (true)
{
// Nothing left process.
if (w <= 0 || h <= 0)
{
break;
}
// Check whether the point at (w, 1) is inside the hyperbola.
if ((b2 * w - b1 + x0) * (a1 - a2 * w + y0) <= n)
{
// Remove the first row.
sum += w;
x0 -= b1;
y0 += a1;
--h;
if (h == 0)
{
break;
}
}
// Check whether the point at (1, h) is inside the hyperbola.
if ((b2 - b1 * h + x0) * (a1 * h - a2 + y0) <= n)
{
// Remove the first column.
sum += h;
x0 += b2;
y0 -= a2;
--w;
if (w == 0)
{
break;
}
}
// Invariants for the remainder of the processing of the region:
// H(u,v) at v=h, 0 <= u < 1
// H(u,v) at u=w, 0 <= v < 1
// -du/dv at v=h >= 0
// -dv/du at u=w >= 0
// In other words: the hyperbola is less than one unit away
// from the axis at P0 and P1 and the distance from the axis
// to the hyperbola increases monotonically as you approach
// (u, v) = (0, 0).
Debug.Assert((b2 - b1 * h + x0) * (a1 * h - a2 + y0) > n);
Debug.Assert((b2 * w - b1 + x0) * (a1 - a2 * w + y0) > n);
Debug.Assert(b2 * a1 - a2 * b1 == 1);
// Find the pair of points (u2a, v2a) and (u2b, v2b) below H(u,v) where:
// -dv/du at u=u2a >= 1
// -dv/du at u=u2b <= 1
// u2b = u2a + 1
// Specifically, solve:
// (x0 - b1*v + b2*u)*(y0 + a1*v - a2*u) = n at dv/du = -1
// and solve for the line tan = u + v tangent passing through that point.
// Then u2a = floor(u) and u2b = u2a + 1.
// Finally compute v2a and v2b from u2a and u2b using the tangent line
// which may result in a value too small by at most one.
// Note that there are two solutions, one negative and one positive.
// We take the positive solution.
// We use the identities (a >= 0, b >= 0, c > 0; a, b, c elements of Z):
// floor(b*sqrt(a)/c) = floor(floor(sqrt(b^2*a))/c)
// floor(b*sqrt(a*c)/c) = floor(sqrt(b^2*a/c))
// to enable using integer arithmetic.
// Formulas:
// a3b3 = b3*a3, mxy1 = b1*y0+a1*x0, mxy2 = b3*y0+a3*x0
// u = floor((2*b1*a3+1)*sqrt(a3b3*n)/a3b3-mxy1)
// v = floor(-u+2*sqrt(a3b3*n)-mxy2)
var a3 = a1 + a2;
var b3 = b1 + b2;
var a3b3 = a3 * b3;
var mxy1 = a1 * x0 + b1 * y0;
var mxy2 = a3 * x0 + b3 * y0;
var sqrtcoef = 2 * b1 * a3 + 1;
var tan = IntegerMath.FloorSquareRoot(2 * 2 * a3b3 * n) - mxy2;
var u2a = IntegerMath.FloorSquareRoot(sqrtcoef * sqrtcoef * n / a3b3) - mxy1;
var v2a = u2a != 0 ? tan - u2a : h;
var u2b = u2a < w ? u2a + 1 : w;
var v2b = tan - u2b;
// Check for under-estimate of v2a and/or v2b.
if (u2a != 0)
{
var v2aplus = v2a + 1;
if ((b2 * u2a - b1 * v2aplus + x0) * (a1 * v2aplus - a2 * u2a + y0) <= n)
{
++v2a;
}
}
var v2bplus = v2b + 1;
if ((b2 * u2b - b1 * v2bplus + x0) * (a1 * v2bplus - a2 * u2b + y0) <= n)
{
++v2b;
}
// Compute the V intercept of L2a and L2b. Since the lines are diagonal the intercept
// is the same on both U and V axes and v12a = u02a and v12b = u02b.
var v12a = u2a + v2a;
var v12b = u2b + v2b;
Debug.Assert(IntegerMath.Abs(v12a - v12b) >= 0 && IntegerMath.Abs(v12a - v12b) <= 1);
// Count points horizontally or vertically if one axis collapses (or is below our cutoff)
// or if the triangle exceeds the bounds of the rectangle.
if (u2a <= smallRegionCutoff || v2b <= smallRegionCutoff || v12a > w || v12b > h)
{
if (h > w)
{
sum += CountPoints(true, w, a2, b2, a1, b1, x0, y0);
}
else
{
sum += CountPoints(false, h, a1, b1, a2, b2, x0, y0);
}
break;
}
// Add the triangle defined L0, L1, and smaller of L2a and L2b.
var v12 = IntegerMath.Min(v12a, v12b);
sum += v12 * (v12 - 1) / 2;
// Adjust for the difference (if any) between L2a and L2b.
if (v12a != v12b)
{
sum += v12a > v12b ? u2a : v2b;
}
// Push left region onto the stack.
stack.Push(new Region(u2a, h - v12a, a1, b1, a3, b3, x0 - b1 * v12a, y0 + a1 * v12a));
// Process right region iteratively (no change to a2 and b2).
w -= v12b;
h = v2b;
a1 = a3;
b1 = b3;
x0 = x0 + b2 * v12b;
y0 = y0 - a2 * v12b;
}
// Any more regions to process?
if (stack.Count == 0)
{
break;
}
// Pop a region off the stack for processing.
var region = stack.Pop();
w = region.w;
h = region.h;
a1 = region.a1;
b1 = region.b1;
a2 = region.a2;
b2 = region.b2;
x0 = region.x0;
y0 = region.y0;
}
// Return the sum of lattice points in this region.
return(sum);
}
public Integer Evaluate(Integer n, BigInteger xfirst, BigInteger xlast)
{
this.n = n;
// Count lattice points under the hyperbola x*y = n.
var sum = (Integer)0;
// Compute the range of values over which we will apply the
// geometric algorithm.
xmax = (Integer)xlast;
xmin = IntegerMath.Max(xfirst, IntegerMath.Min(IntegerMath.FloorRoot(n, 3) * minimumMultiplier, xmax));
// Calculate the line tangent to the hyperbola at the x = sqrt(n).
var m0 = (Integer)1;
var x0 = xmax;
var y0 = n / x0;
var r0 = y0 + m0 * x0;
Debug.Assert(r0 - m0 * x0 == y0);
// Add the bottom rectangle.
var width = x0 - xfirst;
sum += (width + 1) * y0;
// Add the isosceles right triangle corresponding to the initial
// line L0 with -slope = 1.
sum += width * (width + 1) / 2;
// Process regions between tangent lines with integral slopes 1 & 2,
// 2 & 3, etc. until we reach xmin. This provides a first
// approximation to the hyperbola and accounts for the majority
// of the lattice points between xmin and max. The remainder of
// the points are computed by processing the regions bounded
// by the two tangent lines and the hyperbola itself.
while (true)
{
// Find the largest point (x1a, y1a) where -H'(X) >= the new slope.
var m1 = m0 + 1;
var x1a = IntegerMath.FloorSquareRoot(n / m1);
var y1a = n / x1a;
var r1a = y1a + m1 * x1a;
var x1b = x1a + 1;
var y1b = n / x1b;
var r1b = y1b + m1 * x1b;
Debug.Assert(r1a - m1 * x1a == y1a);
Debug.Assert(r1b - m1 * x1b == y1b);
// Handle left-overs.
if (x1a < xmin)
{
// Remove all the points we added between xfirst and x0.
var rest = x0 - xfirst;
sum -= (r0 - m0 * x0) * rest + m0 * rest * (rest + 1) / 2;
xmin = x0;
break;
}
// Invariants:
// The value before x1a along L1a is on or below the hyperbola.
// The value after x1b along L2b is on or below the hyperbola.
// The new slope is one greater than the old slope.
Debug.Assert((x1a - 1) * (r1a - m1 * (x1a - 1)) <= n);
Debug.Assert((x1b + 1) * (r1b - m1 * (x1b + 1)) <= n);
Debug.Assert(m1 - m0 == 1);
// Add the triangular wedge above the previous slope and below the new one
// and bounded on the left by xfirst.
var x0a = r1a - r0;
width = x0a - xfirst;
sum += width * (width + 1) / 2;
// Account for a drop or rise from L1a to L1b.
if (r1a != r1b && x1a < x0a)
{
// Remove the old triangle and add the new triangle.
// The formula is (ow+dr)*(ow+dr+1)/2 - ow*(ow+1)/2.
var ow = x1a - x0a;
var dr = r1a - r1b;
sum += dr * (2 * ow + dr + 1) / 2;
}
// Determine intersection of L0 and L1b.
var x0b = r1b - r0;
var y0b = r0 - m0 * x0b;
Debug.Assert(r0 - m0 * x0b == r1b - m1 * x0b);
// Calculate width and height of parallelogram counting only lattice points.
var w = (y0 - y0b) + m1 * (x0 - x0b);
var h = (y1b - y0b) + m0 * (x1b - x0b);
// Process the hyperbolic region bounded by L1b and L0.
sum += ProcessRegion(w, h, m1, 1, m0, 1, x0b, y0b);
// Advance to the next region.
m0 = m1;
x0 = x1a;
y0 = y1a;
r0 = r1a;
}
// Process values from xfirst up to xmin.
sum += manualAlgorithm.Evaluate(n, xfirst, xmin - 1);
return(sum);
}
private Integer ProcessRegion(Integer w, Integer h, Integer a1, Integer b1, Integer a2, Integer b2, Integer x0, Integer y0)
{
// The hyperbola is defined by H(x, y): x*y = n.
// Line L1 has -slope m1 = a1/b1.
// Line L2 has -slope m2 = a2/b2.
// Both lines pass through P0 = (x0, y0).
// The region is a parallelogram with the left side bounded L1,
// the bottom bounded by L2, with width w (along L2) and height h
// (along L1). The lower-left corner is P0 (the intersection of
// L2 and L1) and represents (u, v) = (0, 0).
// Both w and h are counted in terms of lattice points, not length.
// For the purposes of counting, the lattice points on lines L1 and L2
// have already been counted.
// Note that a1*b2 - b1*a2 = 1 because
// m2 and m1 are Farey neighbors, e.g. 1 & 2 or 3/2 & 2 or 8/5 & 5/3
// The equations that define (u, v) in terms of (x, y) are:
// u = b1*(y-y0)+a1*(x-x0)
// v = b2*(y-y0)+a2*(x-x0)
// And therefore the equations that define (x, y) in terms of (u, v) are:
// x = x0-b1*v+b2*u
// y = y0+a1*v-a2*u
// Since all parameters are integers and a1*b2 - b1*a2 = 1,
// every lattice point in (x, y) is a lattice point in (u, v)
// and vice-versa.
// Geometrically, the UV coordinate system is the composition
// of a translation and two shear mappings. The UV-based hyperbola
// is essentially a "mini" hyperbola that resembles the full
// hyperbola in that:
// - The equation is still a hyperbola (although it is now a quadratic in two variables)
// - The endpoints of the curve are roughly tangent to the axes
// We process the region by "lopping off" the maximal isosceles
// right triangle in the lower-left corner and then process
// the two remaining "slivers" in the upper-left and lower-right,
// which creates two smaller "micro" hyperbolas, which we then
// process recursively.
// When we are in the region of the original hyperbola where
// the curvature is roughly constant, the deformed hyperbola
// will in fact resemble a circular arc.
// A line with -slope = 1 in UV-space has -slope = (a1+a2)/(b1+b2)
// in XY-space. We call this m3 and the line defining the third side
// of the triangle as L3 containing point P3 tangent to the hyperbola.
// This is all slightly complicated by the fact that diagonal that
// defines the region that we "lop off" may be broken and shifted
// up or down near the tangent point. As a result we actually have
// P3 and P4 and L3 and L4.
// We can measure work in units of X because it is the short
// axis and it ranges from cbrt(n) to sqrt(n). If we did one
// unit of work for each X coordinate we would have an O(sqrt(n))
// algorithm. But because there is only one lattice point on a
// line with slope m per the denominator of m in X and because
// the denominator of m roughly doubles for each subdivision,
// there will be less than one unit of work for each unit of X.
// As a result, each iteration reduces the work by about
// a factor of two resulting in 1 + 2 + 4 + ... + sqrt(r) steps
// or O(sqrt(r)). Since the sum of the sizes of the top-level
// regions is O(sqrt(n)), this gives a O(n^(1/4)) algorithm for
// nearly constant curvature.
// However, since the hyperbola is increasingly non-circular for small
// values of x, the subdivision is not nearly as beneficial (and
// also not symmetric) so it is only worthwhile to use region
// subdivision on regions where cubrt(n) < n < sqrt(n).
// The sqrt(n) bound comes from symmetry and the Dirichlet
// hyperbola method (which we also use). The cubrt(n)
// bound comes from the fact that the second deriviative H''(x)
// exceeds one at (2n)^(1/3) ~= 1.26*cbrt(n). Since we process
// regions with adjacent integral slopes at the top level, by the
// time we get to cbrt(n), the size of the region is at most
// one, so we might as well process those values using the
// naive approach of summing y = n/x.
// Finally, at some point the region becomes small enough and we
// can just count points under the hyperbola using whichever axis
// is shorter. This is quite a bit harder than computing y = n/x
// because the transformations we are using result in a general
// quadratic in two variables. Nevertheless, with some
// preliminary calculations, each value can be calculated with
// a few additions, a square root and a division.
// Sum the lattice points.
var sum = (Integer)0;
// Process regions on the stack.
while (true)
{
// Process regions iteratively.
while (true)
{
// Nothing left process.
if (w <= 0 || h <= 0)
{
break;
}
// Check whether the point at (w, 1) is inside the hyperbola.
if ((b2 * w - b1 + x0) * (a1 - a2 * w + y0) <= n)
{
// Remove the first row.
sum += w;
x0 -= b1;
y0 += a1;
--h;
if (h == 0)
{
break;
}
}
// Check whether the point at (1, h) is inside the hyperbola.
if ((b2 - b1 * h + x0) * (a1 * h - a2 + y0) <= n)
{
// Remove the first column.
sum += h;
x0 += b2;
y0 -= a2;
--w;
if (w == 0)
{
break;
}
}
// Invariants for the remainder of the processing of the region:
// H(u,v) at v=h, 0 <= u < 1
// H(u,v) at u=w, 0 <= v < 1
// -du/dv at v=h >= 0
// -dv/du at u=w >= 0
// In other words: the hyperbola is less than one unit away
// from the axis at P1 and P2 and the distance from the axis
// to the hyperbola increases monotonically as you approach
// (u, v) = (0, 0).
Debug.Assert((b2 - b1 * h + x0) * (a1 * h - a2 + y0) > n);
Debug.Assert((b2 * w - b1 + x0) * (a1 - a2 * w + y0) > n);
Debug.Assert(b2 * a1 - a2 * b1 == 1);
// Find the pair of points (u3, v3) and (u4, v4) below H(u,v) where:
// -dv/du at u=u3 >= 1
// -dv/du at u=u4 <= 1
// u4 = u3 + 1
// Specifically, solve:
// (a1*(v+c2)-a2*(u+c1))*(b2*(u+c1)-b1*(v+c2)) = n at dv/du = -1
// Then u3 = floor(u) and u4 = u3 + 1.
// Note that there are two solutions, one negative and one positive.
// We take the positive solution.
// We use the identity (a >= 0, b >= 0; a, b, elements of Z):
// floor(b*sqrt(a/c)) = floor(sqrt(floor(b^2*a/c)))
// to enable using integer arithmetic.
// Formula:
// u = (a1*b2+a2*b1+2*a1*b1)*sqrt(n/(a3*b3))-c1
var c1 = a1 * x0 + b1 * y0;
var c2 = a2 * x0 + b2 * y0;
var a3 = a1 + a2;
var b3 = b1 + b2;
var coef = a1 * b2 + b1 * a2;
var denom = 2 * a1 * b1;
var sqrtcoef = coef + denom;
var u3 = IntegerMath.FloorSquareRoot(sqrtcoef * sqrtcoef * n / (a3 * b3)) - c1;
var u4 = u3 + 1;
// Finally compute v3 and v4 from u3 and u4 by solving
// the hyperbola for v.
// Note that there are two solutions, both positive.
// We take the smaller solution (nearest the u axis).
// Formulas:
// v = ((a1*b2+a2*b1)*(u+c1)-sqrt((u+c1)^2-4*a1*b1*n))/(2*a1*b1)-c2
// u = ((a1*b2+a2*b1)*(v+c2)-sqrt((v+c2)^2-4*a2*b2*n))/(2*a2*b2)-c1
var uc1 = u3 + c1;
var a = uc1 * uc1 - 2 * denom * n;
var b = uc1 * coef;
var v3 = u3 != 0 ? (b - IntegerMath.CeilingSquareRoot(a)) / denom - c2 : h;
var v4 = (b + coef - IntegerMath.CeilingSquareRoot(a + 2 * uc1 + 1)) / denom - c2;
Debug.Assert(u3 < w);
// Compute the V intercept of L3 and L4. Since the lines are diagonal the intercept
// is the same on both U and V axes and v13 = u03 and v14 = u04.
var r3 = u3 + v3;
var r4 = u4 + v4;
Debug.Assert(IntegerMath.Abs(r3 - r4) <= 1);
// Count points horizontally or vertically if one axis collapses (or is below our cutoff)
// or if the triangle exceeds the bounds of the rectangle.
if (u3 <= smallRegionCutoff || v4 <= smallRegionCutoff || r3 > h || r4 > w)
{
if (h > w)
{
sum += CountPoints(w, c1, c2, coef, denom);
}
else
{
sum += CountPoints(h, c2, c1, coef, 2 * a2 * b2);
}
break;
}
// Add the triangle defined L1, L2, and smaller of L3 and L4.
var size = IntegerMath.Min(r3, r4);
sum += size * (size - 1) / 2;
// Adjust for the difference (if any) between L3 and L4.
if (r3 != r4)
{
sum += r3 > r4 ? u3 : v4;
}
// Push left region onto the stack.
stack.Push(new Region(u3, h - r3, a1, b1, a3, b3, x0 - b1 * r3, y0 + a1 * r3));
// Process right region iteratively (no change to a2 and b2).
w -= r4;
h = v4;
a1 = a3;
b1 = b3;
x0 = x0 + b2 * r4;
y0 = y0 - a2 * r4;
}
// Any more regions to process?
if (stack.Count == 0)
{
break;
}
// Pop a region off the stack for processing.
var region = stack.Pop();
w = region.w;
h = region.h;
a1 = region.a1;
b1 = region.b1;
a2 = region.a2;
b2 = region.b2;
x0 = region.x0;
y0 = region.y0;
}
// Return the sum of lattice points in this region.
return(sum);
}
private ulong YTan(ulong a)
{
return(T1(IntegerMath.FloorSquareRoot((n / a))));
}
public Integer Evaluate(Integer n)
{
this.n = n;
// Count lattice points under the hyperbola x*y = n.
var sum = (Integer)0;
// Compute the range of values over which we will apply the
// geometric algorithm.
xmax = IntegerMath.FloorRoot(n, 2);
xmin = IntegerMath.Min(IntegerMath.FloorRoot(n, 3) * minimumMultiplier, xmax);
// Calculate the line tangent to the hyperbola at the x = sqrt(n).
var m2 = (Integer)1;
var x2 = xmax;
var y2 = n / x2;
var r2 = y2 + m2 * x2;
var width = x2 - xmin;
Debug.Assert(r2 - m2 * x2 == y2);
// Add the bottom rectangle.
sum += (width + 1) * y2;
// Add the isosceles right triangle corresponding to the initial
// line L2 with -slope = 1.
sum += width * (width + 1) / 2;
// Process regions between tangent lines with integral slopes 1 & 2,
// 2 & 3, etc. until we reach xmin. This provides a first
// approximation to the hyperbola and accounts for the majority
// of the lattice points between xmin and max. The remainder of
// the points are computed by processing the regions bounded
// by the two tangent lines and the hyperbola itself.
while (true)
{
// Find the pair of points (x3, y3) and (x1, y1) where:
// -H'(x3) >= the new slope
// -H'(x1) <= the new slope
// x1 = x3 + 1
var m1 = m2 + 1;
var x3 = IntegerMath.FloorSquareRoot(n / m1);
var y3 = n / x3;
var r3 = y3 + m1 * x3;
var x1 = x3 + 1;
var y1 = n / x1;
var r1 = y1 + m1 * x1;
Debug.Assert(r3 - m1 * x3 == y3);
Debug.Assert(r1 - m1 * x1 == y1);
// Handle left-overs.
if (x3 < xmin)
{
// Process the last few values above xmin as the number of
// points above the last L2.
for (var x = xmin; x < x2; x++)
{
sum += n / x - (r2 - m2 * x);
}
break;
}
// Invariants:
// The value before x3 along L3 is on or below the hyperbola.
// The value after x1 along L1 is on or below the hyperbola.
// The new slope is one greater than the old slope.
Debug.Assert((x3 - 1) * (r3 - m1 * (x3 - 1)) <= n);
Debug.Assert((x1 + 1) * (r1 - m1 * (x1 + 1)) <= n);
Debug.Assert(m1 - m2 == 1);
// Add the triangular wedge above the previous slope and below the new one
// and bounded on the left by xmin.
var x0 = r3 - r2;
width = x0 - xmin;
sum += width * (width + 1) / 2;
// Account for a drop or rise from L3 to L1.
if (r3 != r1 && x3 < x0)
{
// Remove the old triangle and add the new triangle.
// The formula is (ow+dr)*(ow+dr+1)/2 - ow*(ow+1)/2.
var ow = x3 - x0;
var dr = r3 - r1;
sum += dr * (2 * ow + dr + 1) / 2;
}
// Determine intersection of L2 and L1.
x0 = r1 - r2;
var y0 = r2 - m2 * x0;
Debug.Assert(r2 - m2 * x0 == r1 - m1 * x0);
// Calculate width and height of parallelogram counting only lattice points.
var w = (y2 - y0) + m1 * (x2 - x0);
var h = (y1 - y0) + m2 * (x1 - x0);
// Process the hyperbolic region bounded by L1 and L2.
sum += ProcessRegion(w, h, m1, 1, m2, 1, x0, y0);
// Advance to the next region.
m2 = m1;
x2 = x3;
y2 = y3;
r2 = r3;
}
// Process values one up to xmin.
for (var x = (Integer)1; x < xmin; x++)
{
sum += n / x;
}
// Account for sqrt(n) < x <= n using the Dirichlet hyperbola method.
sum = 2 * sum - xmax * xmax;
return(sum);
}
public BigInteger UTan(BigInteger ab1, BigInteger abba, BigInteger ab2, BigInteger a3b3, BigInteger c1)
{
return((ab1 + IntegerMath.FloorSquareRoot(IntegerMath.Square(abba + ab2) * n / a3b3) - (c1 << 1)) / 2);
}