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  2. Longest path problem - Wikipedia

    en.wikipedia.org/wiki/Longest_path_problem

    A linear-time algorithm for finding a longest path in a tree was proposed by Edsger Dijkstra around 1960, while a formal proof of this algorithm was published in 2002. [15] Furthermore, a longest path can be computed in polynomial time on weighted trees, on block graphs, on cacti, [16] on bipartite permutation graphs, [17] and on Ptolemaic ...

  3. Static single-assignment form - Wikipedia

    en.wikipedia.org/wiki/Static_single-assignment_form

    In compiler design, static single assignment form (often abbreviated as SSA form or simply SSA) is a type of intermediate representation (IR) where each variable is assigned exactly once. SSA is used in most high-quality optimizing compilers for imperative languages, including LLVM , the GNU Compiler Collection , and many commercial compilers.

  4. Instruction selection - Wikipedia

    en.wikipedia.org/wiki/Instruction_selection

    In computer science, instruction selection is the stage of a compiler backend that transforms its middle-level intermediate representation (IR) into a low-level IR. In a typical compiler, instruction selection precedes both instruction scheduling and register allocation; hence its output IR has an infinite set of pseudo-registers (often known as temporaries) and may still be – and typically ...

  5. Control-flow graph - Wikipedia

    en.wikipedia.org/wiki/Control-flow_graph

    (d) an irreducible CFG: a loop with two entry points, e.g. goto into a while or for loop A control-flow graph used by the Rust compiler to perform codegen. In computer science, a control-flow graph (CFG) is a representation, using graph notation, of all paths that might be traversed through a program during its execution.

  6. Code generation (compiler) - Wikipedia

    en.wikipedia.org/wiki/Code_generation_(compiler)

    When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite-state machine is often generated instead of a deterministic one, because usually the former can be created more ...

  7. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    From a dynamic programming point of view, Dijkstra's algorithm for the shortest path problem is a successive approximation scheme that solves the dynamic programming functional equation for the shortest path problem by the Reaching method. [8] [9] [10] In fact, Dijkstra's explanation of the logic behind the algorithm, [11] namely Problem 2.

  8. Optimal substructure - Wikipedia

    en.wikipedia.org/wiki/Optimal_substructure

    Consider finding a shortest path for traveling between two cities by car, as illustrated in Figure 1. Such an example is likely to exhibit optimal substructure. That is, if the shortest route from Seattle to Los Angeles passes through Portland and then Sacramento, then the shortest route from Portland to Los Angeles must pass through Sacramento too.

  9. Principles of Compiler Design - Wikipedia

    en.wikipedia.org/wiki/Principles_of_Compiler_Design

    The book also contains the entire code for making a compiler. The back cover offers the original inspiration of the cover design: The dragon is replaced by windmills, and the knight is Don Quixote. The book was published by Addison-Wesley, ISBN 0-201-00022-9.