Data Structures and Algorithms Zhang Ming, Peking University

Data Structures and Algorithms Zhang Ming, Peking University

data structurealgorithmTreepicture

This course will lead us to learn based on the idea of ​​"algorithm + data structure = program" and be guided by problem solving. I hope it can help everyone improve their theory, abstraction, and design abilities. On the basis of solid classical theory, use problem abstraction, data abstraction, and algorithm abstraction to analyze problems, and apply appropriate data structures and algorithms to design and implement corresponding programs. Through course study, your abstract thinking ability and problem-solving ability will be greatly improved, and your programming ability and code quality will make a qualitative leap!

Total of 53 lessons12 hours and 52 minutes and 52 seconds

How to use Vivado HLS to accelerate FPGA algorithm development

How to use Vivado HLS to accelerate FPGA algorithm development

FPGAXilinxlivingalgorithm

This series of teaching videos will lead you from scratch to master HLS and UltraFAST design methods from scratch, step by step, to help you become a master of system design and algorithm acceleration! This course includes five topics: the design process of Vivado HLS, coding style when describing algorithms in C or C++, optimization methods of for loops, optimization methods of arrays, and implementation of input/output ports.

Total of 23 lessons4 hours and 38 minutes and 6 seconds

Data structures and algorithms

Data structures and algorithms

data structurealgorithmSmall turtle

Data structures and algorithms, a compulsory computer course, have always been extremely boring and sleep-inducing no matter which school you go to. However, Little Turtle decided to put a lot of effort into making this course a gorgeous, fun, illustrated course!

Total of 99 lessons1 days and 4 hours and 8 minutes and 39 seconds

big data algorithm

big data algorithm

algorithmBig Dataparallel

The course of Big Data Algorithms aims to teach students some basic algorithm design ideas on big data, including probabilistic algorithms, I/O efficient algorithms and parallel algorithms, so that students can be exposed to algorithm design and analysis that are different from traditional algorithm courses. ideas, and is guided by the latest research results, so that students participating in this course can understand the cutting-edge knowledge of big data algorithms. Through the study of this course, students can master the basic ideas of big data algorithm design, and through the homework of this course, master the technology of big data algorithm design and analysis.

Total of 35 lessons7 hours and 35 minutes and 52 seconds

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