Arguably, one of the most feared topics in technical interviews for software engineers is dynamic programming (DP). The technique itself can be elusive—it's hard to learn on your own, and it's rarely taught well. Many struggle not only with applying DP but also with understanding what the term actually means.
When I was kid, I dreaded encountering a dynamic programming problem in coding competitions. While I knew the theory and could solve classic problems, I often couldn't apply my knowledge to new DP problems where the solution wasn't immediately obvious.
But what confused me even more than the topic itself was the name dynamic programming. In what sense is it "dynamic"? Why "programming"? Aren't we always programming when we code? In a field where precise naming is important, this term feels generic and doesn't offer clues about the concept.
It turns out, that was intentional.
The Origin Story
Richard Bellman, the mathematician who developed dynamic programming in the 1950s, shared an interesting anecdote in his autobiography "Eye of the Hurricane". At the time, Bellman was working at RAND Corporation, and the word "research" was frowned upon by the secretary of defense, who controlled the funding. Mathematical research, in particular, was under scrutiny.
To secure funding without attracting negative attention, Bellman chose the term "dynamic programming" to describe his work. The word "dynamic" implied action and progress, while "programming" was associated with planning and decision-making, not necessarily coding as we think of it today. The term was deliberately vague and non-threatening to the bureaucrats who might cut his budget.
Thanks to his ingenuity, Bellman was able to continue his research, leading to the development of dynamic programming and the Bellman equation. While the name doesn't make the concept any clearer, it served its purpose at the time—a small price to pay for such a valuable contribution to mathematics and computer science.
Embracing Dynamic Programming Today
Even though I haven't encountered a dynamic programming problem in a real-world project or interview yet, I still find the topic fascinating. I keep my DP problem-solving skills sharp and have largely overcome my earlier apprehension.
In a world as dynamic as ours, it's hard to predict when you'll need to "dynamically program" your way out of a problem. Understanding the history behind the term adds a layer of appreciation for the technique and reminds us that sometimes, names have stories that reflect the challenges of their time.
Stay curious and happy coding!
Nurbo
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