Module pbrt::core::lowdiscrepancy

Algorithms that deal with low-discrepancy point sets.

Constants

C_MAX_MIN_DIST
PRIMES
PRIME_SUMS
PRIME_TABLE_SIZE

Functions

compute_radical_inverse_permutations	Computes random permutation tables.
gray_code_sample_1d	Takes a generator matrix c, a number of 1D samples to generate n, and stores the corresponding samples in memory at the location pointed to by p.
gray_code_sample_2d	Takes two generator matrices c0 and c1, a number of 2D samples to generate n, and stores the corresponding samples in memory at the location pointed to by p.
inverse_radical_inverse	Compute the inverse of the radical inverse function.
multiply_generator
radical_inverse	Map to an appropriate prime number and delegate to another function to compute the radical inverse.
reverse_bits_32	The bits of an integer quantity can be efficiently reversed with a series of logical bit operations.
reverse_bits_64	The bits of a 64-bit value can be reversed by reversing the two 32-bit components individually and then interchanging them.
sample_generator_matrix
scrambled_radical_inverse	Compute the radical inverse, but put each pixel through the permutation table for the given base.
sobol_2d	Similar to van_der_corput(), but uses two generator matrices to generate the first two dimensions of Sobol' points.
sobol_interval_to_index	Returns the index of the _frame_th sample in the pixel p, if the sampling domain has be scaled to cover the pixel sampling area.
sobol_sample	Takes different paths for 32- and 64-bit floating point values.
sobol_sample_float	Takes a 64 bit index and 32x52 matrices to calculate sample values.
van_der_corput	Generates a number of scrambled 1D sample values using the Gray code-based sampling machinery.