Learn how to evaluate and compare algorithms for software using criteria and methods such as complexity analysis, empirical testing, design paradigms, problem characteristics, user preferences ...

Learn how to compare algorithm complexity using big O notation, time and space complexity, trade-offs and optimizations, complexity classes, and empirical analysis.

From an input we will recursively split the input into sets of one element by dividing each set in half. Once we have gotten down to the set of one element we will return the set of one, and in all ...

Asymptotic analysis (theoretical analysis) List the order of growth function for each sort algorithm and specify the growth function in worst case, best case, and average case. It is okay to list them ...

In computer science, an algorithm is an unambiguous specification of how to solve a class of problems. Algorithms can perform calculation, data processing and automated reasoning tasks. As an ...

A secure hash code or message authentication code is a one-way hash algorithm. It is producing a fixed-size hash function to be used to check verification, the integrity of electronic data, password ...

Sparse matrix computations are an important class of algorithms. One of the important topics in this field is SPCA (Sparse Principal Component Analysis), a variant of PCA. SPCA is used to compute the ...