File:Mandelbrot Set Image 108.png

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    Русский: Фрагмент множества Мандельброта, координаты центра: -1.7489436617686633372073552153211507258063533373824414679761, -0.0000073748967541889836640985849393311615399776865199722997 ширина изображения 1.01e-55
    English: Fragment of the Mandelbrot set, coordinates: -1.7489436617686633372073552153211507258063533373824414679761, -0.0000073748967541889836640985849393311615399776865199722997 width 1.01e-55
    Беларуская: Фрагмент мноства Мандэльброта, каардынаты цэнтра: -1.7489436617686633372073552153211507258063533373824414679761, -0.0000073748967541889836640985849393311615399776865199722997 шырыня 1.01e-55
    Date
    Source Own work
    Author Aokoroko
    Other versions
    Source code (C++)
    InfoField
    #include <atomic>
    #include <cmath>
    #include <cstdint>
    #include <cstdio>
    #include <vector>
    #include <algorithm>
    #include <mpfr.h>
    #include <omp.h>
    using std::vector;
    using std::min;
    const char * CENTER_RE = "-1.7489436617686633372073552153211507258063533373824414679761";
    const char * CENTER_IM = "-0.0000073748967541889836640985849393311615399776865199722997";
    const char * VIEW_SIZE = "1.01e-55";
    const int WIDTH = 10000;
    const int HEIGHT = 10000;
    const int AA = 8;
    const int MAX_ITER = 50000;
    const double ESCAPE_RADIUS_SQUARED = 50000.0;
    const int PALETTE_FRAME = 1;
    const char * OUTPUT_FILE = "Mandelbrot Set Image 108.bmp";
    const mpfr_prec_t PRECISION_BITS = 1000;
    const int REF_SIZE = MAX_ITER + 200;
    struct Complex {
    double re;
    double im;
    };
    #pragma pack(push, 1)
    struct BMPHeader {
    uint16_t type{0x4D42};
    uint32_t size{0};
    uint32_t reserved{0};
    uint32_t offBits{54};
    uint32_t structSize{40};
    int32_t width{0};
    int32_t height{0};
    uint16_t planes{1};
    uint16_t bitCount{24};
    uint32_t compression{0};
    uint32_t sizeImage{0};
    int32_t xPixelsPerMeter{2834};
    int32_t yPixelsPerMeter{2834};
    uint32_t colorsUsed{0};
    uint32_t colorsImportant{0};
    };
    #pragma pack(pop)
    int main() {
    const double startTime = omp_get_wtime();
    const long rawWidth = static_cast<long>(WIDTH) * AA;
    const long rawHeight = static_cast<long>(HEIGHT) * AA;
    mpfr_t centerRe, centerIm, zReMp, zImMp, tmp1, tmp2, viewSizeMp;
    mpfr_inits2(PRECISION_BITS, centerRe, centerIm, zReMp, zImMp, tmp1, tmp2, viewSizeMp, static_cast<mpfr_ptr>(nullptr));
    mpfr_set_str(centerRe, CENTER_RE, 10, MPFR_RNDN);
    mpfr_set_str(centerIm, CENTER_IM, 10, MPFR_RNDN);
    mpfr_set_str(viewSizeMp, VIEW_SIZE, 10, MPFR_RNDN);
    const double sampleStep = mpfr_get_d(viewSizeMp, MPFR_RNDN) / rawWidth;
    vector<Complex> referenceOrbit;
    referenceOrbit.reserve(REF_SIZE);
    mpfr_set_ui(zReMp, 0, MPFR_RNDN);
    mpfr_set_ui(zImMp, 0, MPFR_RNDN);
    for (int iter = 0; iter < REF_SIZE - 1; ++iter) {
    Complex z{mpfr_get_d(zReMp, MPFR_RNDN), mpfr_get_d(zImMp, MPFR_RNDN)};
    referenceOrbit.push_back(z);
    if (z.re * z.re + z.im * z.im > ESCAPE_RADIUS_SQUARED) {
    break;
    }
    mpfr_mul(tmp1, zReMp, zImMp, MPFR_RNDN);
    mpfr_sqr(tmp2, zReMp, MPFR_RNDN);
    mpfr_sqr(zReMp, zImMp, MPFR_RNDN);
    mpfr_sub(zReMp, tmp2, zReMp, MPFR_RNDN);
    mpfr_add(zReMp, zReMp, centerRe, MPFR_RNDN);
    mpfr_mul_2ui(tmp1, tmp1, 1, MPFR_RNDN);
    mpfr_add(zImMp, tmp1, centerIm, MPFR_RNDN);
    }
    const int referenceLength = static_cast<int>(referenceOrbit.size());
    mpfr_clears(centerRe, centerIm, zReMp, zImMp, tmp1, tmp2, viewSizeMp, static_cast<mpfr_ptr>(nullptr));
    std::fprintf(stderr, "Reference orbit: %d points\n", referenceLength);
    std::fprintf(stderr, "Precomputing skip100 matrices...\n");
    vector<Complex> coeff_A(REF_SIZE, {1.0, 0.0});
    vector<Complex> coeff_B(REF_SIZE, {0.0, 0.0});
    vector<double> rad_R(REF_SIZE, 2.0);
    vector<double> aS_squared(REF_SIZE, 0.0);
    for (int i = 0; i < referenceLength; ++i) {
    double r2 = referenceOrbit[i].re * referenceOrbit[i].re + referenceOrbit[i].im * referenceOrbit[i].im;
    aS_squared[i] = (r2 < ESCAPE_RADIUS_SQUARED) ? r2 : 0.0;
    }
    const int loop_limit = min(static_cast<int>(MAX_ITER), referenceLength - 105);
    #pragma omp parallel for
    for (int i = 0; i < loop_limit; ++i) {
    double min_r2 = ESCAPE_RADIUS_SQUARED;
    for (int k = 0; k < 100; ++k) {
    if (i + k >= referenceLength) break;
    if (aS_squared[i + k] < min_r2) min_r2 = aS_squared[i + k];
    }
    rad_R[i] = std::sqrt(min_r2);
    for (int k = 0; k < 100; ++k) {
    if (i + k >= referenceLength) break;
    double r_re = referenceOrbit[i + k].re;
    double r_im = referenceOrbit[i + k].im;
    double next_A_re = 2.0 * (r_re * coeff_A[i].re - r_im * coeff_A[i].im);
    double next_A_im = 2.0 * (r_re * coeff_A[i].im + r_im * coeff_A[i].re);
    double next_B_re = 2.0 * (r_re * coeff_B[i].re - r_im * coeff_B[i].im) + 1.0;
    double next_B_im = 2.0 * (r_re * coeff_B[i].im + r_im * coeff_B[i].re);
    coeff_A[i].re = next_A_re; coeff_A[i].im = next_A_im;
    coeff_B[i].re = next_B_re; coeff_B[i].im = next_B_im;
    }
    }
    const double PI = 3.14159265358979323846;
    uint8_t palette[256][3];
    for (int i = 0; i < 255; ++i) {
    palette[i][0] = static_cast<uint8_t>(std::lround(127.0 + 127.0 * std::cos(2.0 * PI * i / 255.0)));
    palette[i][1] = static_cast<uint8_t>(std::lround(127.0 + 127.0 * std::sin(2.0 * PI * i / 255.0)));
    palette[i][2] = palette[i][1];
    }
    palette[255][0] = 255; palette[255][1] = 255; palette[255][2] = 255;
    const int rowBytes = (WIDTH * 3 + 3) & ~3;
    vector<uint8_t> image(static_cast<size_t>(rowBytes) * HEIGHT, 0);
    std::atomic<int> completedRows{0};
    const Complex * reference = referenceOrbit.data();
    #pragma omp parallel for schedule(dynamic)
    for (int y = 0; y < HEIGHT; ++y) {
    uint8_t * row = image.data() + static_cast<size_t>(y) * rowBytes;
    for (int x = 0; x < WIDTH; ++x) {
    unsigned blueSum = 0; unsigned greenSum = 0; unsigned redSum = 0;
    for (int sampleY = 0; sampleY < AA; ++sampleY) {
    const double deltaCIm = (static_cast<long>(y) * AA + sampleY - rawHeight / 2) * sampleStep;
    for (int sampleX = 0; sampleX < AA; ++sampleX) {
    const double deltaCRe = (static_cast<long>(x) * AA + sampleX - rawWidth / 2) * sampleStep;
    double deltaRe = 0.0; double deltaIm = 0.0;
    double zRe = 0.0; double zIm = 0.0;
    int referenceIndex = 0;
    int iter = 0;
    while (iter < MAX_ITER) {
    if (zRe * zRe + zIm * zIm >= ESCAPE_RADIUS_SQUARED) {
    break;
    }
    double eps_abs2 = deltaRe * deltaRe + deltaIm * deltaIm;
    double limit_r2 = 1e-30 * rad_R[referenceIndex] * rad_R[referenceIndex];
    if (eps_abs2 < limit_r2 && (referenceIndex + 100 < loop_limit) && (iter + 100 < MAX_ITER)) {
    double backup_deltaRe = deltaRe; double backup_deltaIm = deltaIm;
    int backup_refIdx = referenceIndex; int backup_iter = iter;
    double next_eps_re = (coeff_A[referenceIndex].re * deltaRe - coeff_A[referenceIndex].im * deltaIm) + 
    (coeff_B[referenceIndex].re * deltaCRe - coeff_B[referenceIndex].im * deltaCIm);
    double next_eps_im = (coeff_A[referenceIndex].re * deltaIm + coeff_A[referenceIndex].im * deltaRe) + 
    (coeff_B[referenceIndex].re * deltaCIm + coeff_B[referenceIndex].im * deltaCRe);
    deltaRe = next_eps_re; deltaIm = next_eps_im;
    referenceIndex += 100; iter += 100;
    zRe = reference[referenceIndex].re + deltaRe;
    zIm = reference[referenceIndex].im + deltaIm;
    if (zRe * zRe + zIm * zIm >= ESCAPE_RADIUS_SQUARED) {
    deltaRe = backup_deltaRe; deltaIm = backup_deltaIm;
    referenceIndex = backup_refIdx; iter = backup_iter;
    } else {
    continue; 
    }
    }
    const double a = 2.0 * reference[referenceIndex].re + deltaRe;
    const double b = 2.0 * reference[referenceIndex].im + deltaIm;
    const double nextDeltaRe = a * deltaRe - b * deltaIm + deltaCRe;
    deltaIm = a * deltaIm + b * deltaRe + deltaCIm;
    deltaRe = nextDeltaRe;
    ++referenceIndex; ++iter;
    zRe = reference[referenceIndex].re + deltaRe;
    zIm = reference[referenceIndex].im + deltaIm;
    if (zRe * zRe + zIm * zIm < deltaRe * deltaRe + deltaIm * deltaIm || referenceIndex >= loop_limit) {
    deltaRe = zRe; deltaIm = zIm; referenceIndex = 0;
    }
    }
    const int remaining = MAX_ITER - iter;
    const uint8_t colorIndex = (remaining == 0) ? 255 : static_cast<uint8_t>(remaining % 254);
    const int paletteIndex = (colorIndex == 255) ? 255 : (colorIndex - PALETTE_FRAME + 255) % 255;
    blueSum += palette[paletteIndex][0];
    greenSum += palette[paletteIndex][1];
    redSum += palette[paletteIndex][2];
    }
    }
    const int samples = AA * AA;
    row[x * 3 + 0] = static_cast<uint8_t>(blueSum / samples);
    row[x * 3 + 1] = static_cast<uint8_t>(greenSum / samples);
    row[x * 3 + 2] = static_cast<uint8_t>(redSum / samples);
    }
    const int done = ++completedRows;
    if (done % 50 == 0 || done == HEIGHT) {
    std::fprintf(stderr, "\rProgress: %d/%d rows (%.1f%%)", done, HEIGHT, 100.0 * done / HEIGHT);
    }
    }
    BMPHeader header;
    header.width = WIDTH; header.height = HEIGHT;
    header.sizeImage = static_cast<uint32_t>(image.size());
    header.size = header.sizeImage + 54;
    FILE * file = std::fopen(OUTPUT_FILE, "wb");
    if (!file) { std::perror(OUTPUT_FILE); return 1; }
    std::fwrite(&header, sizeof(header), 1, file);
    std::fwrite(image.data(), 1, image.size(), file);
    std::fclose(file);
    std::fprintf(stderr, "\nDone! Saved to %s in %.2f seconds.\n", OUTPUT_FILE, omp_get_wtime() - startTime);
    return 0;
    }
    

    Technical details

    • High-Precision Reference: The 1000-bit reference trajectory is computed exactly once per zoom layer.
    • Hardware-Native Performance: Blazing-fast math for billions of pixels utilizing hardware-native double registers.
    • Bilinear approximation: The calculation can be performed significantly faster by using bilinear approximation.
    • When using double-precision floating-point numbers (on the order of 10-15, perturbation theory only allows you to zoom down to the 10-308 level-no further.
    • Innovative Algorithm: Revolutionary Reference Reset to Zero implementation.
    • True 8x8 SSAA: Pristine, anti-aliased image quality with 64 independent samples per pixel. 80000 x 80000 pixels downscaled to 10000 x 10000.
    • OpenMP Multi-threading: High-speed parallel computing to maximize CPU utilization.
    • Software: C++ (compiled with g++), GNU C++ Compiler.

    Notes

    Licensing

    I, the copyright holder of this work, hereby publish it under the following license:
    Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
    The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

    This image has been assessed using the Quality image guidelines and is considered a Quality image.

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    Captions

    Fragment of the Mandelbrot set, coordinates: -1.7489436617686633372073552153211507258063533373824414679761, -0.0000073748967541889836640985849393311615399776865199722997 width 1.01e-55

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    depicts

    13 June 2026

    File history

    Click on a date/time to view the file as it appeared at that time.

    Date/TimeThumbnailDimensionsUserComment
    current13:43, 13 June 2026Thumbnail for version as of 13:43, 13 June 202610,000 × 10,000 (43.14 MB)wikimediacommons>AokorokoUploaded own work with UploadWizard

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