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Discrete Structures for Computer Science
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Lecture Discrete Structures for Computer Science - Chapter 4: Sets and Functions present the content: sets, set operation, functions, one-to-one and onto functions; sequences and summation; venn diagram; recursion,...
89p
bachdangky
06-09-2021
13
1
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Lecture Discrete Structures for Computer Science - Chapter 4: Relations present the content: properties of relations, combining relations, representing relations, closures of relations, types of relations, relations antisymmetric,...
40p
bachdangky
06-09-2021
11
1
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Lecture Discrete Structures for Computer Science - Chapter 5: Counting present the content: introduction, counting techniques, pigeonhole principle, permutations & combinations, applications of combinatorics,...
28p
bachdangky
06-09-2021
11
1
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Lecture Discrete Structures for Computing - Chapter 0: Introduction present the content: course description, course outline, document, some applications, subjects in general discrete mathematics course, topics relational to the course,...
18p
bachdangky
06-09-2021
7
1
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In this lesson, you will leam about specific steps you can take to secure your computer system and your data from a variety of threats. You might be surprised to learn that computer security is not primarily a technical issue, and is not necessarily expensive. For the most part, keeping your system and data secure is a matter of common sense.
63p
koxih_kothogmih6
22-09-2020
41
3
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All the phenomena of nature are characterized by motion; this is an essential property of matter, having infinity of aspects. For instance, the motion can be mechanical, physical, chemical and biological; there correspond various sciences of nature. Among them, mechanics studies the objective laws of the mechanical motion of material bodies, the simplest form of motion of matter; we will deal with such a study in what follows. The scientific study of matter has put in evidence its existence in the form of physical systems.
0p
thienbinh1311
13-12-2012
50
5
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The handbook is written for mature readers with a great deal of rigorous experience with either doing scientific research or writing scientific software. However no specific background in computer science, statistics, or biology is required to understand most of the chapters. In order to accommodate the readers who wish to become professional computational biologists in the future we also provide appendices that contain educationally sound glossaries of terms and descriptions of major sequence analysis algorithms.
570p
banhkem0908
24-11-2012
78
5
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