Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy ...

Rather, they are invested in relationship between memory (a.k.a. space) and the time it takes to make a calculation. In the 1970s, computational complexity ... evaluation algorithms, via a ...

and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity in terms of running time and space usage Create applications that are ...

Algorithm design strategies such as divide and conquer ... with an emphasis on establishing algorithmic correctness and estimating time and space complexity.