Computer science distilled : learn the art of solving computational problems / Wladston Ferreira Filho.

• 1. Basics. Ideas -- Logic -- Counting -- Probability -- 2. Complexity. Counting time -- The big-O notation -- Exponentials -- Counting memory -- 3. Strategy. Iteration -- Recursion -- Brute force -- Backtracking -- Heuristics -- Divide and conquer -- Dynamic programming -- Branch and bound -- 4. Data. Abstract data types -- Common abstractions -- Structures -- 5. Algorithms. Sorting -- Searching -- Graphs -- Operations research -- 6. Databases. Relational -- Non-relational -- Distributed -- Geographical -- Serialization formats -- 7. Computers. Architecture -- Compilers -- Memory hierarchy -- 8. Programming. Linguistics -- Variables -- Paradigms -- Conclusion -- Appendix. Numerical bases -- Gauss' trick -- Sets -- Kadane's algorithm.

• A walkthrough of computer science concepts that you must know to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work. 

Ämnesord

Datavetenskap  (sao)

Programmering  (sao)

Datoralgoritmer  (sao)

Computer algorithms.  (LCSH)

Computer programming.  (LCSH)

Computer science.  (LCSH)

Data structures (Computer science)  (LCSH)

Computer algorithms.  (fast)

Computer programming.  (fast)

Computer science.  (fast)

Data structures (Computer science)  (fast)

Computer programming  (LCSH)

Computer algorithms  (LCSH)

Computer science  (LCSH)

Genre

Klassifikation

QA76.9.A43 (LCC)

004 (DDC)

Pu (kssb/8 (machine generated))