Geohash的好处是能够通过切去散列码末尾的字符来实现任意的精度。
Geohashes have the benefit of arbitrary precision by stripping off characters from the end of the hash.
可以使用15个字符表示mgrs值(如前例)，也可表示为13、11、9或7个字符；因此，所表示的值的精度分别为1米、10米、100米、1,000米或10,000米。
MGRS may be presented using 15 characters (as in previous example), or 13, 11, 9, or 7 characters; the values so expressed would be accurate within 1, 10, 100, 1,000, or 10,000 meters, respectively.
字符串数据长度的变化或数值型数据精度和等级的变化也表明在数据的表示、验证和使用上存在潜在的问题。
Variations in length for string data or in precision and scale for numeric data also point to potential issues in data presentation, validation, and usage.
尽量尝试将您的扩展函数设计为仅使用双精度、字符串、布尔和节点集作为实参和返回值的类型。
Try to design your extension functions so that they use only doubles, strings, booleans, and node-sets as both arguments and return values.
程序期望查找ascii格式的单精度浮点数；任何无关的字符都将忽略。
The program expects to find a single floating-point number in ASCII format; any extraneous characters will be ignored.
该mgrs点精度为米，使用15个字符表示，其中最后10个字符表示指定网格中的以东和以北的值。
This MGRS point is accurate within one meter and is presented using 15 characters, where the last 10 characters are the easting and northing values within the specified grid.
除支持基本的字符串之外，您还可以存储布尔值、双精度数、浮点数、整型数、长整型数和字节数组(考虑序列化)。
In addition to basic string support, you can store booleans, doubles, floats, integers, longs, and byte arrays (think serialization).
即使对于最快的打字者来说，某些特定击键也很难实现 0.02秒的重复精度，在知道正确的密码字符后就更不用进行猜测了。
Repeatable precision of 20 one-thousandths of a second for specific keystrokes is difficult for even the fastest typists to mimic, much less guess even when the correct password characters are known.
首先调用f的模板化版本，第一个参数的类型是字符串，作为大小可变的参数提供字符和双精度值。
The first time around, the templated version of f is called, with a string as the first argument type, and the character and double are packed off as the variable size argument.
通常支持的类型有整数、Boolean、ASCII字符串、双精度带符号浮点数、日期时间、集合、列表、属性。
In general supported types are Integer, Boolean, ASCII string, double-precision signed floating point number, date-time, set, list, properties.
与其他定位方法相比，明显降低计算复杂度，对字符尺寸的鲁棒性，检测精度显著提高。
Compared with other traditional character location methods, the proposed scheme has the advantages of low computational cost, robust to size and font of characters and high accuracy.
你的精度会随之下降当你吸收新的字符，但会再次上升到百分之九十以上。
Your accuracy will drop as you work on assimilating the new character, but it will rise again to 90 percent or better.
同时，本算法思想还可用于双精度数、整数、字符串等类型数据的排序。
At the same time, idea of this algorithm is also applicable to the sorting of such types of data as double precision number, integer and character string.
提出了一种基于文本图元识别以跟踪字符中心线的高精度矫正ocr图像倾斜的快速算法，该算法思想虽然简单，却具有高效和高精度的特点，同时还具有高可靠性和良好的抗噪特征。
This paper proposes a rapid algorithm to OCR image slant correction, which applies the graphic primitive recognition technique and then keeps track of the character center-line.
经过实验证实，该算法对于标准字符能达到精度接近100%的矫正率，对于微形变的字符也能达到约95%的平均识别率。
Experimental results show that it can reach nearly 100% accuracy of the correction rate for standard characters and 95% of the average recognition rate for characters with micro-deformation.
在此实例的结尾追加指定的单精度浮点数的字符串表示形式。
Appends the string representation of a specified subarray of Unicode characters to the end of this instance.
实验结果表明，该方法的字符定位效果好，分割精度高，切分的结果可有效地应用于进一步的字符识别。
The experiments show that the method provides precise segmentation and orientation. Therefore, the proposed method is proved to be effective for application for further recognition of the postcode.
将数字的字符串表示形式转换为它的等效单精度浮点数字。
Converts the string representation of a number to its single-precision floating-point number equivalent.
将指定的区域性特定格式的数字的字符串表示形式转换为它的等效双精度浮点数。
Converts the string representation of a number in a specified culture-specific format to its double-precision floating-point number equivalent.
使用指定的区域性特定格式设置信息，将数字的指定字符串表示形式转换为等效的双精度浮点数。
Converts the specified string representation of a number to an equivalent double-precision floating-point number, using the specified culture-specific formatting information.
将具有指定区域性特定格式的数字的字符串表示形式转换为它的等效单精度浮点数字。
Converts the string representation of a number in a specified culture-specific format to its single-precision floating-point number equivalent.
使用指定的区域性特定格式设置信息，将数字的指定字符串表示形式转换为等效的单精度浮点数。
Converts the specified string representation of a number to an equivalent single-precision floating-point number, using the specified culture-specific formatting information.
在此实例的结尾追加指定的双精度浮点数的字符串表示形式。
Appends the string representation of a specified 64-bit unsigned integer to the end of this instance.
在此实例的结尾追加指定的双精度浮点数的字符串表示形式。
Appends the string representation of a specified 64-bit unsigned integer to the end of this instance.
应用推荐