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The relationship between computer science and mathematics is a bit strange. 20 or 30 years ago, computer science was basically a mathematical score.. At present, computer science has a wide range of research fields and a large number of researchers, in many ways, in turn to promoteIn a sense, the development of
revision of this book. It is the most comprehensive research on first-class computer sorting and searching technologies, it expands the data structure processing method in volume 1 and includes large and small databases, as well as memory and external storage. this book includes a careful check of computer methods and a large amount of analysis on its efficiency
addition, each part of this book is a rare and sophisticated practice of previously learned knowledge, such as discrete mathematics, formal logic, finite state machine, and tree... Programming Language features... Regular Expression. Program Optimization and various algorithms. In short
A minor Review of computer science...
in the warm burning relay, so there is the nearest neighbor algorithm, with the greedy algorithm, with the insertion algorithm, with the Christofides algorithm, with the LKH algorithm, with a linear programming algorithm. ”
Vint Cerf and many other world-class computer scientists recommend
"Publisher Weekly" Science and other magazines praise the Tide
A brief history of time as a humorous p/np problem
A feast on computation,
In a twinkling of an eye, I started school for two months. In the middle, I had to spend a month or so on learning discrete mathematics because of some disgusting things, summarize the learning content, methods, and books.First, what exactly does discrete mathematics contain? Traditional lecture methods include mathematical logic, set theory, algebra system, and graph theory. Some books also include combine
): Introduction to database systems (version 8)Original Author: C. J. Date
Title: Database System Concepts, Fourth EditionTitle (Chinese): Database System Concept (version 4)Original Author: Abraham silberschat/Henry F. korth/S. sudarshan
Mathematics (Mathematics)Title: discrete mathematics and Its Applications (th Edition)Title (Chinese): discrete
several hundred pages to explain every aspect of the C ++ programming paradigm, but this book does this incredible. I personally like this kind of book that is full of technology, concise, and "Easy to say. this book also has an obvious style: All program examples use standard library components, which is refreshing.----------------------------------------------
Programmer's mathematicsBasic InformationAuthor: (day) jiechenghao [Translator's introduction]Translator: Guan JieSeries name: Turing programming SeriesPress: People's post and telecommunications PressISBN: 9787115293688Mounting time:Published on: February 1, November 2012Start: 16Page number: 232Version: 1-1Category: Computer> Computer science theory and basic knowledge> computing theory> comprehensiveComputer> Software and Program Design
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multiplication. If a · B
3. angle between two vectors. A · B = | A | B | cos cosine, where cosine is the angle between vector A and vector B.
1.8 vector difference Multiplication
The vector cross multiplication is also called the cross product. It can only be applied to 3D vectors.
The cross-multiplication vector is perpendicular to the original two vectors.
C ++ vector encapsulation class:
# Ifndef _ vector3_h __# DEFINE _ vector3_h _ # include Physics 1.2
This
Algorithms and data structures: Computing Science Excerpt from: algorithms and data structures: the Science of Computing
By Douglas Baldwin and Greg W. scragg
Translated by Liu Jianwen (http://blog.csdn.net/keminlau
)
Charles River media 2004 (640 pages)
ISBN: 1584502509Back Cover
While computing
http://blog.csdn.net/pipisorry/article/details/44245575A very good article on how to learn python and use Python for data science, data analysis, machine learning Comprehensive learning Path–data Science in PythonDeep learning paths-da
it's tempting for data scientists to explain technical expertise behind the model and show-off the analytic rigor, t He is often counter-productive. Your audience cares about outcome and end-use and isn ' t bothered on the decision engine you have put together. In fact, the complicated explanations about mathematics of model is sure to bore your users and intimidate against use. Save your expertise with te
. This allows the compiler to generate very efficient C code from the Cython code. (Project address: Https://github.com/cython/cython)Benefits: May 10 (Thursday) Eight o'clock in the evening: "Live Online" An introduction to the method of cross test for---of sorting and evaluating artifactRegistration method: identify the promotional map QR code, the successful landing site immediately after registration! Follow the public account" Pegasus "past-term benefitsconcerned about the Pegasus public nu
Code and are not good at abstracting and summarizing rules. Programmers who are standing in the same place are mostly mixed meals, and they do not take the initiative to learn and improve their own consciousness.
Programmers must not only cultivate their own technologies, but also cultivate their own character. Doesn't it mean that most problems in programming are character problems? Of course, this is about the cultivation of the programmer's character and personality.
Reference: http://blog.
Post date: September 2, 2014
By: Stephen Miller
Marty rose, data scientist in the acxiom product and engineering group, and an active member of the DMA analytics councel shared the following list of data science books with the councel this week, and we thought the rest of the DMA family wowould also benefit.
"I didn't compile this list and am grateful to Chris th
Comprehensive Learning Path–data Science in PythonJourney from a python noob to a kaggler on PythonSo, you want to become a data scientist or May is you is already one and want to expand your tool repository. You are landed at the right place. The aim of this page was to provide a comprehensive learning path to people new to Python for
http://blog.csdn.net/pipisorry/article/details/44245575A good article on how to learn python and use Python for data science, data analysis, and machine learning Comprehensive(integrated) Learning Path–data Science in PythonJourney from a pythonnoob(Novice) to a kaggler on P
Preface to the new book "algorithms-principles hidden behind data structures", data structures and algorithms
Preface to the book "algorithms-principles hidden behind data structures"
In the winter of 2014 AD, a biography of the legendary life of Alan Turing, the father of
I often heard the chief executive say, "If you want to submit a job, data must be good !!』 I believe this sentence involves many people, but is it true?
I have been programming for so many years, although I still like data, but I have never used any data in the old saying, I have always been skeptical about the long term.
Today, I am going to hear about the s
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