Our Algorithm Team
Our data science team is a group of mathematicians and computer scientists specializing in algorithm development, modelling, machine learning and intelligent software development. We help our clients solve process problems, gain incredible insights and create new intellectual property.
Algorithm Design Process
An algorithm is a self-contained sequence of actions to be performed. Algorithms can perform calculation, data processing and automated reasoning tasks. Algorithms are used in software development, computer science and mathematics.
Types of Algorithms
Recursive algorithms – Used to solve problems that can be broken into simpler or smaller problems of same type.
Dynamic programming algorithm – Aka dynamic optimization algorithm – Remembers the past result and uses them to find new result
Backtracking algorithm – Solves problems recursively by trying to build a solution incrementally, one piece at a time.
Divide and conquer algorithm – Consists of two parts: first it divides the problems into smaller subproblems of the same type, second solves them recursively and then combines them.
Greedy algorithm – Solves the problem by taking optimal solution at the local level (without regards for any consequences) with the hope of finding optimal solution at the global level.
Brute Force algorithm – tries all the possibilities until a satisfactory solution is found.
Randomized algorithm – uses a random number at least once during the computation to make a decision.
Here’s an example of a playing card sorting algorithm.
Find the lowest club that hasn’t been sorted yet.
Put it face down on the (initially empty) stack on the table.
- Repeat steps 1-2 until there are no more clubs.
- Repeat steps 1-3 with diamonds instead of clubs.
- Repeat steps 1-3 with hearts instead of clubs.
- Repeat steps 1-3 with spades instead of clubs.
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