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  2. The Pragmatic Programmer - Wikipedia

    en.wikipedia.org/wiki/The_Pragmatic_Programmer

    The book does not present a systematic theory, but rather a collection of tips to improve the development process in a pragmatic way. The main qualities of what the authors refer to as a pragmatic programmer are being an early adopter , to have fast adaptation, inquisitiveness and critical thinking, realism, and being a jack-of-all-trades .

  3. HackerRank - Wikipedia

    en.wikipedia.org/wiki/HackerRank

    HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...

  4. Bin packing problem - Wikipedia

    en.wikipedia.org/wiki/Bin_packing_problem

    In the guillotine cutting problem, both the items and the "bins" are two-dimensional rectangles rather than one-dimensional numbers, and the items have to be cut from the bin using end-to-end cuts. In the selfish bin packing problem, each item is a player who wants to minimize its cost.

  5. Cutting stock problem - Wikipedia

    en.wikipedia.org/wiki/Cutting_stock_problem

    This was an open problem until 2007, when an efficient algorithm based on dynamic programming was published. [14] The minimum number of knife changes problem (for the one-dimensional problem): this is concerned with sequencing and permuting the patterns so as to minimise the number of times the slitting knives have to be moved.

  6. Multi-objective optimization - Wikipedia

    en.wikipedia.org/wiki/Multi-objective_optimization

    Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.

  7. Knapsack problem - Wikipedia

    en.wikipedia.org/wiki/Knapsack_problem

    The most common problem being solved is the 0-1 knapsack problem, which restricts the number of copies of each kind of item to zero or one. Given a set of n {\displaystyle n} items numbered from 1 up to n {\displaystyle n} , each with a weight w i {\displaystyle w_{i}} and a value v i {\displaystyle v_{i}} , along with a maximum weight capacity ...

  8. Gayle Laakmann McDowell - Wikipedia

    en.wikipedia.org/wiki/Gayle_Laakmann_McDowell

    McDowell has also co-authored the books Cracking the PM Interview (for product managers: PMs), [7] Cracking the PM career [8] and Cracking the Tech Career. [9] Mainstream media coverage of her work include articles in The New York Times , [ 10 ] The Guardian , [ 11 ] The Wall Street Journal , [ 12 ] USA Today , [ 13 ] U.S. News & World Report ...

  9. Strip packing problem - Wikipedia

    en.wikipedia.org/wiki/Strip_packing_problem

    The strip packing problem is a 2-dimensional geometric minimization problem. Given a set of axis-aligned rectangles and a strip of bounded width and infinite height, determine an overlapping-free packing of the rectangles into the strip, minimizing its height.

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