Julia v1.5.4 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. • For even more extensive documentation of the history not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1337 页 | 4.41 MB | 1 年前3
Julia 1.5.3 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. • For even more extensive documentation of the history not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1335 页 | 4.41 MB | 1 年前3
Julia 1.5.2 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. • For even more extensive documentation of the history not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1335 页 | 4.41 MB | 1 年前3
Julia 1.5.1 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. • For even more extensive documentation of the history not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1335 页 | 4.41 MB | 1 年前3
Julia 1.5.0 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. • For even more extensive documentation of the history not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1335 页 | 4.41 MB | 1 年前3
Julia v1.6.6 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. CHAPTER 4. INTEGERS AND FLOATING-POINT NUMBERS 18 not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1324 页 | 4.54 MB | 1 年前3
Julia 1.6.5 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. CHAPTER 4. INTEGERS AND FLOATING-POINT NUMBERS 18 not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1325 页 | 4.54 MB | 1 年前3
Julia 1.6.7 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. CHAPTER 4. INTEGERS AND FLOATING-POINT NUMBERS 18 not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1324 页 | 4.54 MB | 1 年前3
Julia 1.6.1 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. 20 CHAPTER 4. INTEGERS AND FLOATING-POINT NUMBERS not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1397 页 | 4.59 MB | 1 年前3
Julia 1.6.4 Documentationunifying features of Julia: functions are defined on different combinations of argument types, and applied by dispatching to the most specific matching definition. This model is a good fit for mathematical accuracy encoun- tered when computing with them, see David Goldberg's paper What Every Computer Scientist Should Know About Floating-Point Arithmetic. CHAPTER 4. INTEGERS AND FLOATING-POINT NUMBERS 18 not a numeric literal, when immediately followed by a parenthetical, is interpreted as a function applied to the values in parentheses (see Functions for more about functions). Thus, in both of these cases0 码力 | 1324 页 | 4.54 MB | 1 年前3
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