TAILIEUCHUNG - Lecture Notes CMSC 251CMSC 251: Algorithms1 Spring 1998

A succession of steadily more powerful and flexible computing devices were constructed in the 1930s and 1940s, gradually adding the key features that are seen in modern computers. The use of digital electronics (largely invented by Claude Shannon in 1937) and more flexible programmability were vitally important steps, but defining one point along this road as "the first digital electronic computer" is 1940 Notable achievements include: | Lecture Notes CMSC 251 CMSC 251 Algorithms1 Spring 1998 Dave Mount Lecture 1 Course Introduction Tuesday Jan 27 1998 Read Course syllabus and Chapter 1 in CLR Cormen Leiserson and Rivest . What is algorithm design Our text defines an algorithm to be any well-defined computational procedure that takes some values as input and produces some values as output. Like a cooking recipe an algorithm provides a step-by-step method for solving a computational problem. A good understanding of algorithms is essential for a good understanding of the most basic element of computer science programming. Unlike a program an algorithm is a mathematical entity which is independent of a specific programming language machine or compiler. Thus in some sense algorithm design is all about the mathematical theory behind the design of good programs. Why study algorithm design There are many facets to good program design. Good algorithm design is one of them and an important one . To be really complete algorithm designer it is important to be aware of programming and machine issues as well. In any important programming project there are two major types of issues macro issues and micro issues. Macro issues involve elements such as how does one coordinate the efforts of many programmers working on a single piece of software and how does one establish that a complex programming system satisfies its various requirements. These macro issues are the primary subject of courses on software engineering. A great deal of the programming effort on most complex software systems consists of elements whose programming is fairly mundane input and output data conversion error checking report generation . However there is often a small critical portion of the software which may involve only tens to hundreds of lines of code but where the great majority of computational time is spent. Or as the old adage goes 80 of the execution time takes place in 20 of the code. The micro issues in programming involve how .

• Kỹ thuật lập trình
• Input output (I O)
• Multitasking
• Misconceptions
• Further topics
• Hardware
• Operating System
• Input Output
• Principles of I O hardware
• Principles of I O software
• I O software layers
• Graphical user interfaces
• Network terminals
• Phương pháp phân tích kinh tế
• Phương pháp phân tích môi trường
• Mô hình input output
• Bảng I O liên vùng
• Phân tích bảng I O liên vùng
• Phân tích môi trường
• Input output economic models
• Disaster impact assessment
• The empirical construction of I O datasets
• Disaster representation in the I O framework
• Non market and behavioral effects
• Bảng vào ra
• bảng I O
• hệ số chi phí trực tiếp
• hệ số đầu vào
• ma trận hệ số nhu cầu
• Cấu trúc máy tính
• Lập trình hợp ngữ
• Input devices
• Output devices
• Thiết bị I O
• Software interrupt
• Lecture Advanced Computer Architecture
• Advanced Computer Architecture
• Bài giảng Kiến trúc máy tính nâng cao
• Input/Output systems
• Bus structures connecting I/O devices
• Bus transition protocols
• I/O system design
• Network attached storage
• lập trình dữ liệu
• quản trị dữ liệu
• Bus dữ liệu
• input output
• thiết bị Bus
• thiết bị ngoại vi
• công suẩt giao tiếp
• Practical C++ programming
• Programming languages
• C++ programming
• I O Packages
• Output files
• Conversion routines
• Lecture C++ programming
• Lập trình C++
• Ngôn ngữ lập trình C++
• I O streams
• Standard I O devices
• Mô hình I O liên vùng
• Phân tích kinh tế
• Kinh tế và môi trường
• Mô hình Input output tổng quát