/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
H A D | DiscreteDistribution.java | 29 * method represents the probability mass function, or PMF for the distribution. 31 * @param x the value at which the probability mass function is evaluated. 32 * @return the value of the probability mass function at x 34 double probability(double x); method in interface:DiscreteDistribution
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H A D | IntegerDistribution.java | 30 * method represents the probability mass function for the distribution. 32 * @param x the value at which the probability density function is evaluated. 33 * @return the value of the probability density function at x 35 double probability(int x); method in interface:IntegerDistribution 40 * this method represents the probability distribution function, or PDF 45 * @throws MathException if the cumulative probability can not be 54 * @return the cumulative probability. 55 * @throws MathException if the cumulative probability can not be 67 * probability under (the density of) X, then <code>m - 1</code> is 77 * @param p the cumulative probability [all...] |
H A D | AbstractIntegerDistribution.java | 64 * @return cumulative probability that a random variable with this 66 * @throws MathException if the cumulative probability can not be 79 * @return the probability that a random variable with this distribution 82 * @throws MathException if the cumulative probability can not be 105 * this method represents the probability distribution function, or PDF, 110 * @throws MathException if the cumulative probability can not be 118 * method represents the probability mass function, or PMF, for the distribution. 122 * @param x the value at which the probability density function is evaluated 123 * @return the value of the probability density function at x 125 public double probability(doubl method in class:AbstractIntegerDistribution [all...] |
H A D | HypergeometricDistributionImpl.java | 116 * @param p the desired probability for the critical value 129 * @param p the desired probability for the critical value 196 public double probability(int x) { method in class:HypergeometricDistributionImpl 228 private double probability(int n, int m, int k, int x) { method in class:HypergeometricDistributionImpl 335 * probability is computed by summing the point probabilities for the values 349 double ret = probability(n, m, k, x0); 352 ret += probability(n, m, k, x0);
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H A D | BinomialDistributionImpl.java | 41 /** The probability of success. */ 46 * probability of success. 49 * @param p the probability of success. 67 * Access the probability of success for this distribution. 69 * @return the probability of success. 104 * Change the probability of success for this distribution. 106 * @param p the new probability of success. 108 * probability. 117 * Change the probability of success for this distribution. 119 * @param p the new probability o 185 public double probability(int x) { method in class:BinomialDistributionImpl [all...] |
H A D | ZipfDistributionImpl.java | 139 * The probability mass function P(X = x) for a Zipf distribution. 141 * @param x the value at which the probability density function is evaluated. 142 * @return the value of the probability mass function at x 144 public double probability(final int x) { method in class:ZipfDistributionImpl 154 * The probability distribution function P(X <= x) for a Zipf distribution. 175 * @param p the desired probability for the critical value 188 * @param p the desired probability for the critical value
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H A D | PascalDistributionImpl.java | 42 /** The probability of success */ 47 * probability of success. 49 * @param p the probability of success 66 * Access the probability of success for this distribution. 67 * @return the probability of success 101 * Change the probability of success for this distribution. 102 * @param p the new probability of success 104 * probability. 113 * Change the probability of success for this distribution. 114 * @param p the new probability o 175 public double probability(int x) { method in class:PascalDistributionImpl [all...] |
H A D | PoissonDistributionImpl.java | 37 * Default maximum number of iterations for cumulative probability calculations. 60 * Maximum number of iterations for cumulative probability. 68 * Convergence criterion for cumulative probability. 182 * The probability mass function P(X = x) for a Poisson distribution. 184 * @param x the value at which the probability density function is 186 * @return the value of the probability mass function at x 188 public double probability(int x) { method in class:PoissonDistributionImpl 203 * The probability distribution function P(X <= x) for a Poisson 208 * @throws MathException if the cumulative probability can not be computed 238 // calculate the probability usin [all...] |
/external/iptables/include/linux/netfilter/ |
H A D | xt_statistic.h | 25 __u32 probability; member in struct:xt_statistic_info::__anon6391::__anon6392
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/external/kernel-headers/original/uapi/linux/netfilter/ |
H A D | xt_statistic.h | 25 __u32 probability; member in struct:xt_statistic_info::__anon7046::__anon7047
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/external/libvpx/libvpx/vp8/encoder/ |
H A D | boolhuff.h | 62 static void vp8_encode_bool(BOOL_CODER *br, int bit, int probability) argument 74 Sectionbits[active_section] += vp8_prob_cost[255-probability]; 76 Sectionbits[active_section] += vp8_prob_cost[probability]; 81 split = 1 + (((range - 1) * probability) >> 8);
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/external/libvpx/libvpx/vp8/decoder/ |
H A D | dboolhuff.h | 58 static int vp8dx_decode_bool(BOOL_DECODER *br, int probability) { argument 66 split = 1 + (((br->range - 1) * probability) >> 8);
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/external/libvpx/libvpx/vp9/encoder/ |
H A D | vp9_writer.h | 33 static INLINE void vp9_write(vp9_writer *br, int bit, int probability) { argument 40 split = 1 + (((range - 1) * probability) >> 8);
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/external/iproute2/tc/ |
H A D | q_choke.c | 40 double probability = 0.02; local 89 } else if (strcmp(*argv, "probability") == 0) { 91 if (sscanf(*argv, "%lg", &probability) != 1) { 92 fprintf(stderr, "Illegal \"probability\"\n"); 141 wlog = tc_red_eval_P(opt.qth_min*avpkt, opt.qth_max*avpkt, probability); 143 fprintf(stderr, "CHOKE: failed to calculate probability.\n"); 161 max_P = probability * pow(2, 32); 196 fprintf(f, "probability %g ", max_P / pow(2, 32));
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H A D | q_red.c | 32 fprintf(stderr, " [adaptive] [probability PROBABILITY] bandwidth KBPS\n"); 41 double probability = 0.02; local 81 } else if (strcmp(*argv, "probability") == 0) { 83 if (sscanf(*argv, "%lg", &probability) != 1) { 84 fprintf(stderr, "Illegal \"probability\"\n"); 136 if ((wlog = tc_red_eval_P(opt.qth_min, opt.qth_max, probability)) < 0) { 137 fprintf(stderr, "RED: failed to calculate probability.\n"); 151 max_P = probability * pow(2, 32); 194 fprintf(f, "probability %lg ", max_P / pow(2, 32));
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H A D | q_sfq.c | 34 fprintf(stderr, " [ avpkt BYTES ] [ burst PACKETS ] [ probability P ]\n"); 45 double probability = 0.02; local 134 } else if (strcmp(*argv, "probability") == 0) { 136 if (sscanf(*argv, "%lg", &probability) != 1) { 137 fprintf(stderr, "Illegal \"probability\"\n"); 192 wlog = tc_red_eval_P(opt.qth_min, opt.qth_max, probability); 194 fprintf(stderr, "SFQ: failed to calculate probability.\n"); 198 opt.max_P = probability * pow(2, 32); 236 fprintf(f, "min %s max %s probability %g ",
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H A D | q_netem.c | 332 if (get_percent(&reorder.probability, *argv)) { 347 if (get_percent(&corrupt.probability, *argv)) { 426 if (reorder.probability) { 435 fprintf(stderr, "gap specified without reorder probability\n"); 594 if (reorder && reorder->probability) { 596 sprint_percent(reorder->probability, b1)); 602 if (corrupt && corrupt->probability) { 604 sprint_percent(corrupt->probability, b1));
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H A D | q_gred.c | 40 fprintf(stderr, "Usage: ... gred DP drop-probability limit BYTES " 42 fprintf(stderr, " avpkt BYTES burst PACKETS probability PROBABILITY " 124 double probability = 0.02; local 187 } else if (strcmp(*argv, "probability") == 0) { 189 if (sscanf(*argv, "%lg", &probability) != 1) { 190 fprintf(stderr, "Illegal \"probability\"\n"); 239 if ((wlog = tc_red_eval_P(opt.qth_min, opt.qth_max, probability)) < 0) { 240 fprintf(stderr, "GRED: failed to calculate probability.\n"); 256 max_P = probability * pow(2, 32); 316 fprintf(f, "probability [all...] |
/external/iptables/extensions/ |
H A D | libxt_statistic.c | 27 "[!] --probability p Probability\n" 37 {.name = "probability", .id = O_PROBABILITY, .type = XTTYPE_DOUBLE, 69 info->u.random.probability = lround(0x80000000 * cb->val.dbl); 84 "--probability must be specified when using " 107 1.0 * info->u.random.probability / 0x80000000);
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/external/libnl/include/linux/ |
H A D | pkt_sched.h | 466 __u32 probability; member in struct:tc_netem_reorder 472 __u32 probability; member in struct:tc_netem_corrupt
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/external/libnl/lib/route/sch/ |
H A D | netem.c | 120 netem->qnm_ro.nmro_probability = ro.probability; 131 netem->qnm_crpt.nmcr_probability = corrupt.probability; 270 reorder.probability = netem->qnm_ro.nmro_probability; 277 corrupt.probability = netem->qnm_crpt.nmcr_probability; 393 * Set re-ordering probability of netem qdisc. 395 * @arg prob New re-ordering probability. 413 * Get re-ordering probability of netem qdisc. 415 * @return Re-ordering probability or a negative error code. 429 * Set re-order correlation probability of netem qdisc. 431 * @arg prob New re-ordering correlation probability [all...] |
/external/iproute2/include/linux/ |
H A D | pkt_sched.h | 207 __u32 max_P; /* probability, high resolution */ 533 __u32 probability; member in struct:tc_netem_reorder 538 __u32 probability; member in struct:tc_netem_corrupt 621 __u32 increment; /* probability increment, (d1 in Blue) */ 622 __u32 decrement; /* probability decrement, (d2 in Blue) */
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/external/libvpx/libvpx/vp8/encoder/arm/armv5te/ |
H A D | boolhuff_armv5te.asm | 58 ; r2 int probability 71 mul r6, r4, r7 ; ((range-1) * probability) 74 add r4, r7, r6, lsr #8 ; 1 + (((range-1) * probability) >> 8)
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/external/kernel-headers/original/uapi/linux/ |
H A D | pkt_sched.h | 219 __u32 max_P; /* probability, high resolution */ 550 __u32 probability; member in struct:tc_netem_reorder 555 __u32 probability; member in struct:tc_netem_corrupt 638 __u32 increment; /* probability increment, (d1 in Blue) */ 639 __u32 decrement; /* probability decrement, (d2 in Blue) */ 837 __u32 prob; /* current probability */
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/external/libvorbis/doc/ |
H A D | 01-introduction.tex | 42 working memory as Vorbis has no static probability model; the vector 87 probability model of the codec, the Huffman and VQ codebooks, is
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