Necesito funciones personalizadas de math

CodeShut · 29 Septiembre 2013, 04:43 AM

Hola y gracias a todos por leer mi tema, necesito algunas funciones de trigonometría pero personalizadas, no quiero las de math.h , sino unas personalizadas

http://stackoverflow.com/questions/11261170/c-and-maths-fast-approximation-of-a-trigonometric-function
http://www.nongnu.org/avr-libc/user-manual/group__avr__math.html
http://arduino.cc/es/Reference/Libraries
http://blog.oscarliang.net/enhanced-arduino-c-custom-math-library/

Código [Seleccionar]


float __cdecl SIN_ID(int deg){

    float result = 0;
    int sign = 1;
    if (deg < 0){
        deg = -deg;
        sign = -1;
    }
    while (deg>=3600)
        deg -= 3600;
    // 0 and 90 degrees.
    if((deg >= 0) && (deg <= 900))
        result = SIN_TABLE[deg / 5];
    // 90 and 180 degrees.
    else if((deg > 900) && (deg <= 1800))
        result = SIN_TABLE[(1800-deg) / 5];
    // 180 and 270 degrees.
    else if((deg > 1800) && (deg <= 2700))
        result = -SIN_TABLE[(deg-1800) / 5];
    // 270 and 360 degrees.
    else if((deg > 2700) && (deg <= 3600))
        result = -SIN_TABLE[(3600-deg)/5];
    return sign * result;
}

float __cdecl COS_ID(int deg){
    float result = 0;
    if (deg < 0)
        deg = -deg;
    while (deg>=3600)
        deg -= 3600;
    // 0 and 90 degrees.
    if((deg >= 0) && (deg <= 900))
        result = SIN_TABLE[(900-deg) / 5];
    // 90 and 180 degrees.
    else if((deg > 900) && (deg <= 1800))
        result = -SIN_TABLE[(deg-900) / 5];
    // 180 and 270 degrees.
    else if((deg > 1800) && (deg <= 2700))
        result = -SIN_TABLE[(2700 - deg) / 5];
    // 270 and 360 degrees.
    else if((deg >= 2700) && (deg <= 3600))
        result = SIN_TABLE[(deg - 2700) / 5];
    return result;
}

unsigned long __cdecl SQRT_ID(ulong number){
    ulong root = 0;
    ulong bit = 1UL << 30;
    // Bit starts at the highest power of four <= to input number.
    while(bit > number)  bit >>= 2;
    while(bit != 0){
        if(number >= root + bit){
            number -= (root + bit);
            root += (bit << 1);
        }
        root >>= 1;
        bit >>= 2;
    }
    return root;
}

float __cdecl ACOS_ID(float num){
    float rads = 0;
    bool negative = false;
    // Get sign of input
    if(num < 0){
        negative = true;
        num = -num;
    }
    // num between 0 and 0.9.
    if((num >= 0) && (num < 0.9))
        rads = (float)ACOS_TABLE[(int)(num*DEC4/79+0.5)] * 0.00616;
    // num between 0.9 and 0.99.
    else if ((num >= 0.9) && (num < 0.99))
        rads = (float)ACOS_TABLE[(int)((num*DEC4-9000)/8 + 0.5) + 114] * 0.00616;
    // num between 0.99 and 1.0.
    else if ((num >= 0.99) && (num <= 1))
        rads = (float)ACOS_TABLE[(int)((num*DEC4-9900)/2 + 0.5) + 227] * 0.00616;
    // Account for the negative sign if required.
    if(negative)
        rads = PI - rads;
    return rads;
}

float __cdecl ATAN2_ID(float opp, float adj){
    float hypt = SQRT_ID(adj * adj + opp * opp);
    float rad = ACOS_ID(adj/hypt);
    if(opp < 0)
        rad = -rad;
    return rad;
}

esas son las funciones que quiero usar pero necesito las tablas lookup como fue sugerido en uno de esos links que se encuentran al principio.
quisiera ayuda para poner en funcionamiento este código porque no se encuentra terminado, faltan las tablas SIN_TABLE, ACOS_TABLE y unas macro (DEC4) y en realidad no se cómo rellenar lo que falta . desde ya que agradezco cualquier respuesta para colaborar con estas funciones.

CodeShut · 29 Septiembre 2013, 04:49 AM

http://stackoverflow.com/questions/11261170/c-and-maths-fast-approximation-of-a-trigonometric-function
http://stackoverflow.com/questions/5777110/fast-implementation-of-trigonometric-functions-for-c

aver en este link sale una especie de tabla
https://pastee.org/dhwbj

parece ser el valor de sin para los grados desde 0 a 359 (360 no cuenta)

Citar
Degree[0] -> (X): [ 1 , 1 ] , [ 0 , 0 ]
Degree[1] -> (X): [ 0.999844 , 0.999848 ] , [ 0.0174531 , 0.0174524 ]
Degree[2] -> (X): [ 0.999391 , 0.999391 ] , [ 0.0349062 , 0.0348995 ]
Degree[3] -> (X): [ 0.998625 , 0.99863 ] , [ 0.0523437 , 0.052336 ]
Degree[4] -> (X): [ 0.997563 , 0.997564 ] , [ 0.06975 , 0.0697565 ]
Degree[5] -> (X): [ 0.996188 , 0.996195 ] , [ 0.0871563 , 0.0871557 ]
Degree[6] -> (X): [ 0.994516 , 0.994522 ] , [ 0.104531 , 0.104528 ]
Degree[7] -> (X): [ 0.992547 , 0.992546 ] , [ 0.121875 , 0.121869 ]
Degree[8] -> (X): [ 0.990266 , 0.990268 ] , [ 0.139172 , 0.139173 ]
Degree[9] -> (X): [ 0.987688 , 0.987688 ] , [ 0.156438 , 0.156434 ]
Degree[10] -> (X): [ 0.984812 , 0.984808 ] , [ 0.173641 , 0.173648 ]
Degree[11] -> (X): [ 0.981625 , 0.981627 ] , [ 0.190812 , 0.190809 ]
Degree[12] -> (X): [ 0.978141 , 0.978148 ] , [ 0.207906 , 0.207912 ]
Degree[13] -> (X): [ 0.974375 , 0.97437 ] , [ 0.224953 , 0.224951 ]
Degree[14] -> (X): [ 0.970297 , 0.970296 ] , [ 0.241922 , 0.241922 ]
Degree[15] -> (X): [ 0.965922 , 0.965926 ] , [ 0.258812 , 0.258819 ]
Degree[16] -> (X): [ 0.961266 , 0.961262 ] , [ 0.275641 , 0.275637 ]
Degree[17] -> (X): [ 0.956312 , 0.956305 ] , [ 0.292375 , 0.292372 ]
Degree[18] -> (X): [ 0.951063 , 0.951057 ] , [ 0.309016 , 0.309017 ]
Degree[19] -> (X): [ 0.945516 , 0.945519 ] , [ 0.325563 , 0.325568 ]
Degree[20] -> (X): [ 0.939687 , 0.939693 ] , [ 0.342016 , 0.34202 ]
Degree[21] -> (X): [ 0.933578 , 0.93358 ] , [ 0.358375 , 0.358368 ]
Degree[22] -> (X): [ 0.927188 , 0.927184 ] , [ 0.374609 , 0.374607 ]
Degree[23] -> (X): [ 0.9205 , 0.920505 ] , [ 0.390734 , 0.390731 ]
Degree[24] -> (X): [ 0.913547 , 0.913545 ] , [ 0.406734 , 0.406737 ]
Degree[25] -> (X): [ 0.906313 , 0.906308 ] , [ 0.422625 , 0.422618 ]
Degree[26] -> (X): [ 0.898797 , 0.898794 ] , [ 0.438375 , 0.438371 ]
Degree[27] -> (X): [ 0.891 , 0.891007 ] , [ 0.453984 , 0.45399 ]
Degree[28] -> (X): [ 0.882953 , 0.882948 ] , [ 0.469469 , 0.469472 ]
Degree[29] -> (X): [ 0.874625 , 0.87462 ] , [ 0.484812 , 0.48481 ]
Degree[30] -> (X): [ 0.866031 , 0.866025 ] , [ 0.5 , 0.5 ]
Degree[31] -> (X): [ 0.857172 , 0.857167 ] , [ 0.515031 , 0.515038 ]
Degree[32] -> (X): [ 0.848047 , 0.848048 ] , [ 0.529922 , 0.529919 ]
Degree[33] -> (X): [ 0.838672 , 0.838671 ] , [ 0.544641 , 0.544639 ]
Degree[34] -> (X): [ 0.829031 , 0.829038 ] , [ 0.559187 , 0.559193 ]
Degree[35] -> (X): [ 0.819156 , 0.819152 ] , [ 0.573578 , 0.573576 ]
Degree[36] -> (X): [ 0.809016 , 0.809017 ] , [ 0.587781 , 0.587785 ]
Degree[37] -> (X): [ 0.798641 , 0.798635 ] , [ 0.601812 , 0.601815 ]
Degree[38] -> (X): [ 0.788016 , 0.788011 ] , [ 0.615656 , 0.615662 ]
Degree[39] -> (X): [ 0.777141 , 0.777146 ] , [ 0.629328 , 0.62932 ]
Degree[40] -> (X): [ 0.766047 , 0.766044 ] , [ 0.642781 , 0.642788 ]
Degree[41] -> (X): [ 0.754703 , 0.75471 ] , [ 0.656062 , 0.656059 ]
Degree[42] -> (X): [ 0.743141 , 0.743145 ] , [ 0.669125 , 0.669131 ]
Degree[43] -> (X): [ 0.731359 , 0.731354 ] , [ 0.682 , 0.681998 ]
Degree[44] -> (X): [ 0.719344 , 0.71934 ] , [ 0.694656 , 0.694658 ]
Degree[45] -> (X): [ 0.707109 , 0.707107 ] , [ 0.707109 , 0.707107 ]
Degree[46] -> (X): [ 0.694656 , 0.694658 ] , [ 0.719344 , 0.71934 ]
Degree[47] -> (X): [ 0.682 , 0.681998 ] , [ 0.731359 , 0.731354 ]
Degree[48] -> (X): [ 0.669125 , 0.669131 ] , [ 0.743141 , 0.743145 ]
Degree[49] -> (X): [ 0.656062 , 0.656059 ] , [ 0.754703 , 0.75471 ]
Degree[50] -> (X): [ 0.642781 , 0.642788 ] , [ 0.766047 , 0.766044 ]
Degree[51] -> (X): [ 0.629328 , 0.62932 ] , [ 0.777141 , 0.777146 ]
Degree[52] -> (X): [ 0.615656 , 0.615662 ] , [ 0.788016 , 0.788011 ]
Degree[53] -> (X): [ 0.601812 , 0.601815 ] , [ 0.798641 , 0.798635 ]
Degree[54] -> (X): [ 0.587781 , 0.587785 ] , [ 0.809016 , 0.809017 ]
Degree[55] -> (X): [ 0.573578 , 0.573576 ] , [ 0.819156 , 0.819152 ]
Degree[56] -> (X): [ 0.559187 , 0.559193 ] , [ 0.829031 , 0.829038 ]
Degree[57] -> (X): [ 0.544641 , 0.544639 ] , [ 0.838672 , 0.838671 ]
Degree[58] -> (X): [ 0.529922 , 0.529919 ] , [ 0.848047 , 0.848048 ]
Degree[59] -> (X): [ 0.515031 , 0.515038 ] , [ 0.857172 , 0.857167 ]
Degree[60] -> (X): [ 0.5 , 0.5 ] , [ 0.866031 , 0.866025 ]
Degree[61] -> (X): [ 0.484812 , 0.48481 ] , [ 0.874625 , 0.87462 ]
Degree[62] -> (X): [ 0.469469 , 0.469472 ] , [ 0.882953 , 0.882948 ]
Degree[63] -> (X): [ 0.453984 , 0.45399 ] , [ 0.891 , 0.891007 ]
Degree[64] -> (X): [ 0.438375 , 0.438371 ] , [ 0.898797 , 0.898794 ]
Degree[65] -> (X): [ 0.422625 , 0.422618 ] , [ 0.906313 , 0.906308 ]
Degree[66] -> (X): [ 0.406734 , 0.406737 ] , [ 0.913547 , 0.913545 ]
Degree[67] -> (X): [ 0.390734 , 0.390731 ] , [ 0.9205 , 0.920505 ]
Degree[68] -> (X): [ 0.374609 , 0.374607 ] , [ 0.927188 , 0.927184 ]
Degree[69] -> (X): [ 0.358375 , 0.358368 ] , [ 0.933578 , 0.93358 ]
Degree[70] -> (X): [ 0.342016 , 0.34202 ] , [ 0.939687 , 0.939693 ]
Degree[71] -> (X): [ 0.325563 , 0.325568 ] , [ 0.945516 , 0.945519 ]
Degree[72] -> (X): [ 0.309016 , 0.309017 ] , [ 0.951063 , 0.951057 ]
Degree[73] -> (X): [ 0.292375 , 0.292372 ] , [ 0.956312 , 0.956305 ]
Degree[74] -> (X): [ 0.275641 , 0.275637 ] , [ 0.961266 , 0.961262 ]
Degree[75] -> (X): [ 0.258812 , 0.258819 ] , [ 0.965922 , 0.965926 ]
Degree[76] -> (X): [ 0.241922 , 0.241922 ] , [ 0.970297 , 0.970296 ]
Degree[77] -> (X): [ 0.224953 , 0.224951 ] , [ 0.974375 , 0.97437 ]
Degree[78] -> (X): [ 0.207906 , 0.207912 ] , [ 0.978141 , 0.978148 ]
Degree[79] -> (X): [ 0.190812 , 0.190809 ] , [ 0.981625 , 0.981627 ]
Degree[80] -> (X): [ 0.173641 , 0.173648 ] , [ 0.984812 , 0.984808 ]
Degree[81] -> (X): [ 0.156438 , 0.156434 ] , [ 0.987688 , 0.987688 ]
Degree[82] -> (X): [ 0.139172 , 0.139173 ] , [ 0.990266 , 0.990268 ]
Degree[83] -> (X): [ 0.121875 , 0.121869 ] , [ 0.992547 , 0.992546 ]
Degree[84] -> (X): [ 0.104531 , 0.104528 ] , [ 0.994516 , 0.994522 ]
Degree[85] -> (X): [ 0.0871563 , 0.0871557 ] , [ 0.996188 , 0.996195 ]
Degree[86] -> (X): [ 0.06975 , 0.0697565 ] , [ 0.997563 , 0.997564 ]
Degree[87] -> (X): [ 0.0523437 , 0.052336 ] , [ 0.998625 , 0.99863 ]
Degree[88] -> (X): [ 0.0349062 , 0.0348995 ] , [ 0.999391 , 0.999391 ]
Degree[89] -> (X): [ 0.0174531 , 0.0174524 ] , [ 0.999844 , 0.999848 ]
Degree[90] -> (X): [ -0 , 6.12323e-017 ] , [ 1 , 1 ]
Degree[91] -> (X): [ -0.0174531 , -0.0174524 ] , [ 0.999844 , 0.999848 ]
Degree[92] -> (X): [ -0.0349062 , -0.0348995 ] , [ 0.999391 , 0.999391 ]
Degree[93] -> (X): [ -0.0523437 , -0.052336 ] , [ 0.998625 , 0.99863 ]
Degree[94] -> (X): [ -0.06975 , -0.0697565 ] , [ 0.997563 , 0.997564 ]
Degree[95] -> (X): [ -0.0871563 , -0.0871557 ] , [ 0.996188 , 0.996195 ]
Degree[96] -> (X): [ -0.104531 , -0.104528 ] , [ 0.994516 , 0.994522 ]
Degree[97] -> (X): [ -0.121875 , -0.121869 ] , [ 0.992547 , 0.992546 ]
Degree[98] -> (X): [ -0.139172 , -0.139173 ] , [ 0.990266 , 0.990268 ]
Degree[99] -> (X): [ -0.156438 , -0.156434 ] , [ 0.987688 , 0.987688 ]
Degree[100] -> (X): [ -0.173641 , -0.173648 ] , [ 0.984812 , 0.984808 ]
Degree[101] -> (X): [ -0.190812 , -0.190809 ] , [ 0.981625 , 0.981627 ]
Degree[102] -> (X): [ -0.207906 , -0.207912 ] , [ 0.978141 , 0.978148 ]
Degree[103] -> (X): [ -0.224953 , -0.224951 ] , [ 0.974375 , 0.97437 ]
Degree[104] -> (X): [ -0.241922 , -0.241922 ] , [ 0.970297 , 0.970296 ]
Degree[105] -> (X): [ -0.258812 , -0.258819 ] , [ 0.965922 , 0.965926 ]
Degree[106] -> (X): [ -0.275641 , -0.275637 ] , [ 0.961266 , 0.961262 ]
Degree[107] -> (X): [ -0.292375 , -0.292372 ] , [ 0.956312 , 0.956305 ]
Degree[108] -> (X): [ -0.309016 , -0.309017 ] , [ 0.951063 , 0.951057 ]
Degree[109] -> (X): [ -0.325563 , -0.325568 ] , [ 0.945516 , 0.945519 ]
Degree[110] -> (X): [ -0.342016 , -0.34202 ] , [ 0.939687 , 0.939693 ]
Degree[111] -> (X): [ -0.358375 , -0.358368 ] , [ 0.933578 , 0.93358 ]
Degree[112] -> (X): [ -0.374609 , -0.374607 ] , [ 0.927188 , 0.927184 ]
Degree[113] -> (X): [ -0.390734 , -0.390731 ] , [ 0.9205 , 0.920505 ]
Degree[114] -> (X): [ -0.406734 , -0.406737 ] , [ 0.913547 , 0.913545 ]
Degree[115] -> (X): [ -0.422625 , -0.422618 ] , [ 0.906313 , 0.906308 ]
Degree[116] -> (X): [ -0.438375 , -0.438371 ] , [ 0.898797 , 0.898794 ]
Degree[117] -> (X): [ -0.453984 , -0.45399 ] , [ 0.891 , 0.891007 ]
Degree[118] -> (X): [ -0.469469 , -0.469472 ] , [ 0.882953 , 0.882948 ]
Degree[119] -> (X): [ -0.484812 , -0.48481 ] , [ 0.874625 , 0.87462 ]
Degree[120] -> (X): [ -0.5 , -0.5 ] , [ 0.866031 , 0.866025 ]
Degree[121] -> (X): [ -0.515031 , -0.515038 ] , [ 0.857172 , 0.857167 ]
Degree[122] -> (X): [ -0.529922 , -0.529919 ] , [ 0.848047 , 0.848048 ]
Degree[123] -> (X): [ -0.544641 , -0.544639 ] , [ 0.838672 , 0.838671 ]
Degree[124] -> (X): [ -0.559187 , -0.559193 ] , [ 0.829031 , 0.829038 ]
Degree[125] -> (X): [ -0.573578 , -0.573576 ] , [ 0.819156 , 0.819152 ]
Degree[126] -> (X): [ -0.587781 , -0.587785 ] , [ 0.809016 , 0.809017 ]
Degree[127] -> (X): [ -0.601812 , -0.601815 ] , [ 0.798641 , 0.798635 ]
Degree[128] -> (X): [ -0.615656 , -0.615662 ] , [ 0.788016 , 0.788011 ]
Degree[129] -> (X): [ -0.629328 , -0.62932 ] , [ 0.777141 , 0.777146 ]
Degree[130] -> (X): [ -0.642781 , -0.642788 ] , [ 0.766047 , 0.766044 ]
Degree[131] -> (X): [ -0.656062 , -0.656059 ] , [ 0.754703 , 0.75471 ]
Degree[132] -> (X): [ -0.669125 , -0.669131 ] , [ 0.743141 , 0.743145 ]
Degree[133] -> (X): [ -0.682 , -0.681998 ] , [ 0.731359 , 0.731354 ]
Degree[134] -> (X): [ -0.694656 , -0.694658 ] , [ 0.719344 , 0.71934 ]
Degree[135] -> (X): [ -0.707109 , -0.707107 ] , [ 0.707109 , 0.707107 ]
Degree[136] -> (X): [ -0.719344 , -0.71934 ] , [ 0.694656 , 0.694658 ]
Degree[137] -> (X): [ -0.731359 , -0.731354 ] , [ 0.682 , 0.681998 ]
Degree[138] -> (X): [ -0.743141 , -0.743145 ] , [ 0.669125 , 0.669131 ]
Degree[139] -> (X): [ -0.754703 , -0.75471 ] , [ 0.656062 , 0.656059 ]
Degree[140] -> (X): [ -0.766047 , -0.766044 ] , [ 0.642781 , 0.642788 ]
Degree[141] -> (X): [ -0.777141 , -0.777146 ] , [ 0.629328 , 0.62932 ]
Degree[142] -> (X): [ -0.788016 , -0.788011 ] , [ 0.615656 , 0.615662 ]
Degree[143] -> (X): [ -0.798641 , -0.798635 ] , [ 0.601812 , 0.601815 ]
Degree[144] -> (X): [ -0.809016 , -0.809017 ] , [ 0.587781 , 0.587785 ]
Degree[145] -> (X): [ -0.819156 , -0.819152 ] , [ 0.573578 , 0.573576 ]
Degree[146] -> (X): [ -0.829031 , -0.829038 ] , [ 0.559187 , 0.559193 ]
Degree[147] -> (X): [ -0.838672 , -0.838671 ] , [ 0.544641 , 0.544639 ]
Degree[148] -> (X): [ -0.848047 , -0.848048 ] , [ 0.529922 , 0.529919 ]
Degree[149] -> (X): [ -0.857172 , -0.857167 ] , [ 0.515031 , 0.515038 ]
Degree[150] -> (X): [ -0.866031 , -0.866025 ] , [ 0.5 , 0.5 ]
Degree[151] -> (X): [ -0.874625 , -0.87462 ] , [ 0.484812 , 0.48481 ]
Degree[152] -> (X): [ -0.882953 , -0.882948 ] , [ 0.469469 , 0.469472 ]
Degree[153] -> (X): [ -0.891 , -0.891007 ] , [ 0.453984 , 0.45399 ]
Degree[154] -> (X): [ -0.898797 , -0.898794 ] , [ 0.438375 , 0.438371 ]
Degree[155] -> (X): [ -0.906313 , -0.906308 ] , [ 0.422625 , 0.422618 ]
Degree[156] -> (X): [ -0.913547 , -0.913545 ] , [ 0.406734 , 0.406737 ]
Degree[157] -> (X): [ -0.9205 , -0.920505 ] , [ 0.390734 , 0.390731 ]
Degree[158] -> (X): [ -0.927188 , -0.927184 ] , [ 0.374609 , 0.374607 ]
Degree[159] -> (X): [ -0.933578 , -0.93358 ] , [ 0.358375 , 0.358368 ]
Degree[160] -> (X): [ -0.939687 , -0.939693 ] , [ 0.342016 , 0.34202 ]
Degree[161] -> (X): [ -0.945516 , -0.945519 ] , [ 0.325563 , 0.325568 ]
Degree[162] -> (X): [ -0.951063 , -0.951057 ] , [ 0.309016 , 0.309017 ]
Degree[163] -> (X): [ -0.956312 , -0.956305 ] , [ 0.292375 , 0.292372 ]
Degree[164] -> (X): [ -0.961266 , -0.961262 ] , [ 0.275641 , 0.275637 ]
Degree[165] -> (X): [ -0.965922 , -0.965926 ] , [ 0.258812 , 0.258819 ]
Degree[166] -> (X): [ -0.970297 , -0.970296 ] , [ 0.241922 , 0.241922 ]
Degree[167] -> (X): [ -0.974375 , -0.97437 ] , [ 0.224953 , 0.224951 ]
Degree[168] -> (X): [ -0.978141 , -0.978148 ] , [ 0.207906 , 0.207912 ]
Degree[169] -> (X): [ -0.981625 , -0.981627 ] , [ 0.190812 , 0.190809 ]
Degree[170] -> (X): [ -0.984812 , -0.984808 ] , [ 0.173641 , 0.173648 ]
Degree[171] -> (X): [ -0.987688 , -0.987688 ] , [ 0.156438 , 0.156434 ]
Degree[172] -> (X): [ -0.990266 , -0.990268 ] , [ 0.139172 , 0.139173 ]
Degree[173] -> (X): [ -0.992547 , -0.992546 ] , [ 0.121875 , 0.121869 ]
Degree[174] -> (X): [ -0.994516 , -0.994522 ] , [ 0.104531 , 0.104528 ]
Degree[175] -> (X): [ -0.996188 , -0.996195 ] , [ 0.0871563 , 0.0871557 ]
Degree[176] -> (X): [ -0.997563 , -0.997564 ] , [ 0.06975 , 0.0697565 ]
Degree[177] -> (X): [ -0.998625 , -0.99863 ] , [ 0.0523437 , 0.052336 ]
Degree[178] -> (X): [ -0.999391 , -0.999391 ] , [ 0.0349062 , 0.0348995 ]
Degree[179] -> (X): [ -0.999844 , -0.999848 ] , [ 0.0174531 , 0.0174524 ]
Degree[180] -> (X): [ -1 , -1 ] , [ -0 , 1.22465e-016
Degree[181] -> (X): [ -0.999844 , -0.999848 ] , [ -0.0174531 , -0.0174524 ]
Degree[182] -> (X): [ -0.999391 , -0.999391 ] , [ -0.0349062 , -0.0348995 ]
Degree[183] -> (X): [ -0.998625 , -0.99863 ] , [ -0.0523437 , -0.052336 ]
Degree[184] -> (X): [ -0.997563 , -0.997564 ] , [ -0.06975 , -0.0697565 ]
Degree[185] -> (X): [ -0.996188 , -0.996195 ] , [ -0.0871563 , -0.0871557 ]
Degree[186] -> (X): [ -0.994516 , -0.994522 ] , [ -0.104531 , -0.104528 ]
Degree[187] -> (X): [ -0.992547 , -0.992546 ] , [ -0.121875 , -0.121869 ]
Degree[188] -> (X): [ -0.990266 , -0.990268 ] , [ -0.139172 , -0.139173 ]
Degree[189] -> (X): [ -0.987688 , -0.987688 ] , [ -0.156438 , -0.156434 ]
Degree[190] -> (X): [ -0.984812 , -0.984808 ] , [ -0.173641 , -0.173648 ]
Degree[191] -> (X): [ -0.981625 , -0.981627 ] , [ -0.190812 , -0.190809 ]
Degree[192] -> (X): [ -0.978141 , -0.978148 ] , [ -0.207906 , -0.207912 ]
Degree[193] -> (X): [ -0.974375 , -0.97437 ] , [ -0.224953 , -0.224951 ]
Degree[194] -> (X): [ -0.970297 , -0.970296 ] , [ -0.241922 , -0.241922 ]
Degree[195] -> (X): [ -0.965922 , -0.965926 ] , [ -0.258812 , -0.258819 ]
Degree[196] -> (X): [ -0.961266 , -0.961262 ] , [ -0.275641 , -0.275637 ]
Degree[197] -> (X): [ -0.956312 , -0.956305 ] , [ -0.292375 , -0.292372 ]
Degree[198] -> (X): [ -0.951063 , -0.951057 ] , [ -0.309016 , -0.309017 ]
Degree[199] -> (X): [ -0.945516 , -0.945519 ] , [ -0.325563 , -0.325568 ]
Degree[200] -> (X): [ -0.939687 , -0.939693 ] , [ -0.342016 , -0.34202 ]
Degree[201] -> (X): [ -0.933578 , -0.93358 ] , [ -0.358375 , -0.358368 ]
Degree[202] -> (X): [ -0.927188 , -0.927184 ] , [ -0.374609 , -0.374607 ]
Degree[203] -> (X): [ -0.9205 , -0.920505 ] , [ -0.390734 , -0.390731 ]
Degree[204] -> (X): [ -0.913547 , -0.913545 ] , [ -0.406734 , -0.406737 ]
Degree[205] -> (X): [ -0.906313 , -0.906308 ] , [ -0.422625 , -0.422618 ]
Degree[206] -> (X): [ -0.898797 , -0.898794 ] , [ -0.438375 , -0.438371 ]
Degree[207] -> (X): [ -0.891 , -0.891007 ] , [ -0.453984 , -0.45399 ]
Degree[208] -> (X): [ -0.882953 , -0.882948 ] , [ -0.469469 , -0.469472 ]
Degree[209] -> (X): [ -0.874625 , -0.87462 ] , [ -0.484812 , -0.48481 ]
Degree[210] -> (X): [ -0.866031 , -0.866025 ] , [ -0.5 , -0.5 ]
Degree[211] -> (X): [ -0.857172 , -0.857167 ] , [ -0.515031 , -0.515038 ]
Degree[212] -> (X): [ -0.848047 , -0.848048 ] , [ -0.529922 , -0.529919 ]
Degree[213] -> (X): [ -0.838672 , -0.838671 ] , [ -0.544641 , -0.544639 ]
Degree[214] -> (X): [ -0.829031 , -0.829038 ] , [ -0.559187 , -0.559193 ]
Degree[215] -> (X): [ -0.819156 , -0.819152 ] , [ -0.573578 , -0.573576 ]
Degree[216] -> (X): [ -0.809016 , -0.809017 ] , [ -0.587781 , -0.587785 ]
Degree[217] -> (X): [ -0.798641 , -0.798635 ] , [ -0.601812 , -0.601815 ]
Degree[218] -> (X): [ -0.788016 , -0.788011 ] , [ -0.615656 , -0.615662 ]
Degree[219] -> (X): [ -0.777141 , -0.777146 ] , [ -0.629328 , -0.62932 ]
Degree[220] -> (X): [ -0.766047 , -0.766044 ] , [ -0.642781 , -0.642788 ]
Degree[221] -> (X): [ -0.754703 , -0.75471 ] , [ -0.656062 , -0.656059 ]
Degree[222] -> (X): [ -0.743141 , -0.743145 ] , [ -0.669125 , -0.669131 ]
Degree[223] -> (X): [ -0.731359 , -0.731354 ] , [ -0.682 , -0.681998 ]
Degree[224] -> (X): [ -0.719344 , -0.71934 ] , [ -0.694656 , -0.694658 ]
Degree[225] -> (X): [ -0.707109 , -0.707107 ] , [ -0.707109 , -0.707107 ]
Degree[226] -> (X): [ -0.694656 , -0.694658 ] , [ -0.719344 , -0.71934 ]
Degree[227] -> (X): [ -0.682 , -0.681998 ] , [ -0.731359 , -0.731354 ]
Degree[228] -> (X): [ -0.669125 , -0.669131 ] , [ -0.743141 , -0.743145 ]
Degree[229] -> (X): [ -0.656062 , -0.656059 ] , [ -0.754703 , -0.75471 ]
Degree[230] -> (X): [ -0.642781 , -0.642788 ] , [ -0.766047 , -0.766044 ]
Degree[231] -> (X): [ -0.629328 , -0.62932 ] , [ -0.777141 , -0.777146 ]
Degree[232] -> (X): [ -0.615656 , -0.615662 ] , [ -0.788016 , -0.788011 ]
Degree[233] -> (X): [ -0.601812 , -0.601815 ] , [ -0.798641 , -0.798635 ]
Degree[234] -> (X): [ -0.587781 , -0.587785 ] , [ -0.809016 , -0.809017 ]
Degree[235] -> (X): [ -0.573578 , -0.573576 ] , [ -0.819156 , -0.819152 ]
Degree[236] -> (X): [ -0.559187 , -0.559193 ] , [ -0.829031 , -0.829038 ]
Degree[237] -> (X): [ -0.544641 , -0.544639 ] , [ -0.838672 , -0.838671 ]
Degree[238] -> (X): [ -0.529922 , -0.529919 ] , [ -0.848047 , -0.848048 ]
Degree[239] -> (X): [ -0.515031 , -0.515038 ] , [ -0.857172 , -0.857167 ]
Degree[240] -> (X): [ -0.5 , -0.5 ] , [ -0.866031 , -0.866025 ]
Degree[241] -> (X): [ -0.484812 , -0.48481 ] , [ -0.874625 , -0.87462 ]
Degree[242] -> (X): [ -0.469469 , -0.469472 ] , [ -0.882953 , -0.882948 ]
Degree[243] -> (X): [ -0.453984 , -0.45399 ] , [ -0.891 , -0.891007 ]
Degree[244] -> (X): [ -0.438375 , -0.438371 ] , [ -0.898797 , -0.898794 ]
Degree[245] -> (X): [ -0.422625 , -0.422618 ] , [ -0.906313 , -0.906308 ]
Degree[246] -> (X): [ -0.406734 , -0.406737 ] , [ -0.913547 , -0.913545 ]
Degree[247] -> (X): [ -0.390734 , -0.390731 ] , [ -0.9205 , -0.920505 ]
Degree[248] -> (X): [ -0.374609 , -0.374607 ] , [ -0.927188 , -0.927184 ]
Degree[249] -> (X): [ -0.358375 , -0.358368 ] , [ -0.933578 , -0.93358 ]
Degree[250] -> (X): [ -0.342016 , -0.34202 ] , [ -0.939687 , -0.939693 ]
Degree[251] -> (X): [ -0.325563 , -0.325568 ] , [ -0.945516 , -0.945519 ]
Degree[252] -> (X): [ -0.309016 , -0.309017 ] , [ -0.951063 , -0.951057 ]
Degree[253] -> (X): [ -0.292375 , -0.292372 ] , [ -0.956312 , -0.956305 ]
Degree[254] -> (X): [ -0.275641 , -0.275637 ] , [ -0.961266 , -0.961262 ]
Degree[255] -> (X): [ -0.258812 , -0.258819 ] , [ -0.965922 , -0.965926 ]
Degree[256] -> (X): [ -0.241922 , -0.241922 ] , [ -0.970297 , -0.970296 ]
Degree[257] -> (X): [ -0.224953 , -0.224951 ] , [ -0.974375 , -0.97437 ]
Degree[258] -> (X): [ -0.207906 , -0.207912 ] , [ -0.978141 , -0.978148 ]
Degree[259] -> (X): [ -0.190812 , -0.190809 ] , [ -0.981625 , -0.981627 ]
Degree[260] -> (X): [ -0.173641 , -0.173648 ] , [ -0.984812 , -0.984808 ]
Degree[261] -> (X): [ -0.156438 , -0.156434 ] , [ -0.987688 , -0.987688 ]
Degree[262] -> (X): [ -0.139172 , -0.139173 ] , [ -0.990266 , -0.990268 ]
Degree[263] -> (X): [ -0.121875 , -0.121869 ] , [ -0.992547 , -0.992546 ]
Degree[264] -> (X): [ -0.104531 , -0.104528 ] , [ -0.994516 , -0.994522 ]
Degree[265] -> (X): [ -0.0871563 , -0.0871557 ] , [ -0.996188 , -0.996195 ]
Degree[266] -> (X): [ -0.06975 , -0.0697565 ] , [ -0.997563 , -0.997564 ]
Degree[267] -> (X): [ -0.0523437 , -0.052336 ] , [ -0.998625 , -0.99863 ]
Degree[268] -> (X): [ -0.0349062 , -0.0348995 ] , [ -0.999391 , -0.999391 ]
Degree[269] -> (X): [ -0.0174531 , -0.0174524 ] , [ -0.999844 , -0.999848 ]
Degree[270] -> (X): [ 0 , -1.83697e-016 ] , [ -1 , -1
Degree[271] -> (X): [ 0.0174531 , 0.0174524 ] , [ -0.999844 , -0.999848 ]
Degree[272] -> (X): [ 0.0349062 , 0.0348995 ] , [ -0.999391 , -0.999391 ]
Degree[273] -> (X): [ 0.0523437 , 0.052336 ] , [ -0.998625 , -0.99863 ]
Degree[274] -> (X): [ 0.06975 , 0.0697565 ] , [ -0.997563 , -0.997564 ]
Degree[275] -> (X): [ 0.0871563 , 0.0871557 ] , [ -0.996188 , -0.996195 ]
Degree[276] -> (X): [ 0.104531 , 0.104528 ] , [ -0.994516 , -0.994522 ]
Degree[277] -> (X): [ 0.121875 , 0.121869 ] , [ -0.992547 , -0.992546 ]
Degree[278] -> (X): [ 0.139172 , 0.139173 ] , [ -0.990266 , -0.990268 ]
Degree[279] -> (X): [ 0.156438 , 0.156434 ] , [ -0.987688 , -0.987688 ]
Degree[280] -> (X): [ 0.173641 , 0.173648 ] , [ -0.984812 , -0.984808 ]
Degree[281] -> (X): [ 0.190812 , 0.190809 ] , [ -0.981625 , -0.981627 ]
Degree[282] -> (X): [ 0.207906 , 0.207912 ] , [ -0.978141 , -0.978148 ]
Degree[283] -> (X): [ 0.224953 , 0.224951 ] , [ -0.974375 , -0.97437 ]
Degree[284] -> (X): [ 0.241922 , 0.241922 ] , [ -0.970297 , -0.970296 ]
Degree[285] -> (X): [ 0.258812 , 0.258819 ] , [ -0.965922 , -0.965926 ]
Degree[286] -> (X): [ 0.275641 , 0.275637 ] , [ -0.961266 , -0.961262 ]
Degree[287] -> (X): [ 0.292375 , 0.292372 ] , [ -0.956312 , -0.956305 ]
Degree[288] -> (X): [ 0.309016 , 0.309017 ] , [ -0.951063 , -0.951057 ]
Degree[289] -> (X): [ 0.325563 , 0.325568 ] , [ -0.945516 , -0.945519 ]
Degree[290] -> (X): [ 0.342016 , 0.34202 ] , [ -0.939687 , -0.939693 ]
Degree[291] -> (X): [ 0.358375 , 0.358368 ] , [ -0.933578 , -0.93358 ]
Degree[292] -> (X): [ 0.374609 , 0.374607 ] , [ -0.927188 , -0.927184 ]
Degree[293] -> (X): [ 0.390734 , 0.390731 ] , [ -0.9205 , -0.920505 ]
Degree[294] -> (X): [ 0.406734 , 0.406737 ] , [ -0.913547 , -0.913545 ]
Degree[295] -> (X): [ 0.422625 , 0.422618 ] , [ -0.906313 , -0.906308 ]
Degree[296] -> (X): [ 0.438375 , 0.438371 ] , [ -0.898797 , -0.898794 ]
Degree[297] -> (X): [ 0.453984 , 0.45399 ] , [ -0.891 , -0.891007 ]
Degree[298] -> (X): [ 0.469469 , 0.469472 ] , [ -0.882953 , -0.882948 ]
Degree[299] -> (X): [ 0.484812 , 0.48481 ] , [ -0.874625 , -0.87462 ]
Degree[300] -> (X): [ 0.5 , 0.5 ] , [ -0.866031 , -0.866025 ]
Degree[301] -> (X): [ 0.515031 , 0.515038 ] , [ -0.857172 , -0.857167 ]
Degree[302] -> (X): [ 0.529922 , 0.529919 ] , [ -0.848047 , -0.848048 ]
Degree[303] -> (X): [ 0.544641 , 0.544639 ] , [ -0.838672 , -0.838671 ]
Degree[304] -> (X): [ 0.559187 , 0.559193 ] , [ -0.829031 , -0.829038 ]
Degree[305] -> (X): [ 0.573578 , 0.573576 ] , [ -0.819156 , -0.819152 ]
Degree[306] -> (X): [ 0.587781 , 0.587785 ] , [ -0.809016 , -0.809017 ]
Degree[307] -> (X): [ 0.601812 , 0.601815 ] , [ -0.798641 , -0.798635 ]
Degree[308] -> (X): [ 0.615656 , 0.615662 ] , [ -0.788016 , -0.788011 ]
Degree[309] -> (X): [ 0.629328 , 0.62932 ] , [ -0.777141 , -0.777146 ]
Degree[310] -> (X): [ 0.642781 , 0.642788 ] , [ -0.766047 , -0.766044 ]
Degree[311] -> (X): [ 0.656062 , 0.656059 ] , [ -0.754703 , -0.75471 ]
Degree[312] -> (X): [ 0.669125 , 0.669131 ] , [ -0.743141 , -0.743145 ]
Degree[313] -> (X): [ 0.682 , 0.681998 ] , [ -0.731359 , -0.731354 ]
Degree[314] -> (X): [ 0.694656 , 0.694658 ] , [ -0.719344 , -0.71934 ]
Degree[315] -> (X): [ 0.707109 , 0.707107 ] , [ -0.707109 , -0.707107 ]
Degree[316] -> (X): [ 0.719344 , 0.71934 ] , [ -0.694656 , -0.694658 ]
Degree[317] -> (X): [ 0.731359 , 0.731354 ] , [ -0.682 , -0.681998 ]
Degree[318] -> (X): [ 0.743141 , 0.743145 ] , [ -0.669125 , -0.669131 ]
Degree[319] -> (X): [ 0.754703 , 0.75471 ] , [ -0.656062 , -0.656059 ]
Degree[320] -> (X): [ 0.766047 , 0.766044 ] , [ -0.642781 , -0.642788 ]
Degree[321] -> (X): [ 0.777141 , 0.777146 ] , [ -0.629328 , -0.62932 ]
Degree[322] -> (X): [ 0.788016 , 0.788011 ] , [ -0.615656 , -0.615662 ]
Degree[323] -> (X): [ 0.798641 , 0.798635 ] , [ -0.601812 , -0.601815 ]
Degree[324] -> (X): [ 0.809016 , 0.809017 ] , [ -0.587781 , -0.587785 ]
Degree[325] -> (X): [ 0.819156 , 0.819152 ] , [ -0.573578 , -0.573576 ]
Degree[326] -> (X): [ 0.829031 , 0.829038 ] , [ -0.559187 , -0.559193 ]
Degree[327] -> (X): [ 0.838672 , 0.838671 ] , [ -0.544641 , -0.544639 ]
Degree[328] -> (X): [ 0.848047 , 0.848048 ] , [ -0.529922 , -0.529919 ]
Degree[329] -> (X): [ 0.857172 , 0.857167 ] , [ -0.515031 , -0.515038 ]
Degree[330] -> (X): [ 0.866031 , 0.866025 ] , [ -0.5 , -0.5 ]
Degree[331] -> (X): [ 0.874625 , 0.87462 ] , [ -0.484812 , -0.48481 ]
Degree[332] -> (X): [ 0.882953 , 0.882948 ] , [ -0.469469 , -0.469472 ]
Degree[333] -> (X): [ 0.891 , 0.891007 ] , [ -0.453984 , -0.45399 ]
Degree[334] -> (X): [ 0.898797 , 0.898794 ] , [ -0.438375 , -0.438371 ]
Degree[335] -> (X): [ 0.906313 , 0.906308 ] , [ -0.422625 , -0.422618 ]
Degree[336] -> (X): [ 0.913547 , 0.913545 ] , [ -0.406734 , -0.406737 ]
Degree[337] -> (X): [ 0.9205 , 0.920505 ] , [ -0.390734 , -0.390731 ]
Degree[338] -> (X): [ 0.927188 , 0.927184 ] , [ -0.374609 , -0.374607 ]
Degree[339] -> (X): [ 0.933578 , 0.93358 ] , [ -0.358375 , -0.358368 ]
Degree[340] -> (X): [ 0.939687 , 0.939693 ] , [ -0.342016 , -0.34202 ]
Degree[341] -> (X): [ 0.945516 , 0.945519 ] , [ -0.325563 , -0.325568 ]
Degree[342] -> (X): [ 0.951063 , 0.951057 ] , [ -0.309016 , -0.309017 ]
Degree[343] -> (X): [ 0.956312 , 0.956305 ] , [ -0.292375 , -0.292372 ]
Degree[344] -> (X): [ 0.961266 , 0.961262 ] , [ -0.275641 , -0.275637 ]
Degree[345] -> (X): [ 0.965922 , 0.965926 ] , [ -0.258812 , -0.258819 ]
Degree[346] -> (X): [ 0.970297 , 0.970296 ] , [ -0.241922 , -0.241922 ]
Degree[347] -> (X): [ 0.974375 , 0.97437 ] , [ -0.224953 , -0.224951 ]
Degree[348] -> (X): [ 0.978141 , 0.978148 ] , [ -0.207906 , -0.207912 ]
Degree[349] -> (X): [ 0.981625 , 0.981627 ] , [ -0.190812 , -0.190809 ]
Degree[350] -> (X): [ 0.984812 , 0.984808 ] , [ -0.173641 , -0.173648 ]
Degree[351] -> (X): [ 0.987688 , 0.987688 ] , [ -0.156438 , -0.156434 ]
Degree[352] -> (X): [ 0.990266 , 0.990268 ] , [ -0.139172 , -0.139173 ]
Degree[353] -> (X): [ 0.992547 , 0.992546 ] , [ -0.121875 , -0.121869 ]
Degree[354] -> (X): [ 0.994516 , 0.994522 ] , [ -0.104531 , -0.104528 ]
Degree[355] -> (X): [ 0.996188 , 0.996195 ] , [ -0.0871563 , -0.0871557 ]
Degree[356] -> (X): [ 0.997563 , 0.997564 ] , [ -0.06975 , -0.0697565 ]
Degree[357] -> (X): [ 0.998625 , 0.99863 ] , [ -0.0523437 , -0.052336 ]
Degree[358] -> (X): [ 0.999391 , 0.999391 ] , [ -0.0349062 , -0.0348995 ]
Degree[359] -> (X): [ 0.999844 , 0.999848 ] , [ -0.0174531 , -0.0174524 ]

es esta la tabla que necesito?

ivancea96 · 29 Septiembre 2013, 10:41 AM

Si la tabla no te da la precisión que necesitas, puedes calcularlo mediante la serie de taylor:
Serie de Taylor, Wikipedia

Test Foro de elhacker.net SMF 2.1

Necesito funciones personalizadas de math

CodeShut

CodeShut

ivancea96