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  2. Foreach loop - Wikipedia

    en.wikipedia.org/wiki/Foreach_loop

    In computer programming, foreach loop (or for-each loop) is a control flow statement for traversing items in a collection. foreach is usually used in place of a standard for loop statement . Unlike other for loop constructs, however, foreach loops [ 1 ] usually maintain no explicit counter: they essentially say "do this to everything in this ...

  3. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    Iterative-deepening-A* works as follows: at each iteration, perform a depth-first search, cutting off a branch when its total cost () = + exceeds a given threshold.This threshold starts at the estimate of the cost at the initial state, and increases for each iteration of the algorithm.

  4. Java (programming language) - Wikipedia

    en.wikipedia.org/wiki/Java_(programming_language)

    Java is a high-level, general-purpose, memory-safe, object-oriented programming language.It is intended to let programmers write once, run anywhere (), [16] meaning that compiled Java code can run on all platforms that support Java without the need to recompile. [17]

  5. Entry point - Wikipedia

    en.wikipedia.org/wiki/Entry_point

    In most of today's popular programming languages and operating systems, a computer program usually only has a single entry point.. In C, C++, D, Zig, Rust and Kotlin programs this is a function named main; in Java it is a static method named main (although the class must be specified at the invocation time), and in C# it is a static method named Main.

  6. Particle swarm optimization - Wikipedia

    en.wikipedia.org/wiki/Particle_swarm_optimization

    The goal is to find a solution a for which f(a) ≤ f(b) for all b in the search-space, which would mean a is the global minimum. Let S be the number of particles in the swarm, each having a position x i ∈ ℝ n in the search-space and a velocity v i ∈ ℝ n.

  7. Convex optimization - Wikipedia

    en.wikipedia.org/wiki/Convex_optimization

    If such a point x* exists, it is referred to as an optimal point or solution; the set of all optimal points is called the optimal set; and the problem is called solvable. If f {\displaystyle f} is unbounded below over C {\displaystyle C} , or the infimum is not attained, then the optimization problem is said to be unbounded .

  8. Conjugate gradient method - Wikipedia

    en.wikipedia.org/wiki/Conjugate_gradient_method

    In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose matrix is positive-semidefinite. The conjugate gradient method is often implemented as an iterative algorithm , applicable to sparse systems that are too large to be handled by a direct ...

  9. Peephole optimization - Wikipedia

    en.wikipedia.org/wiki/Peephole_optimization

    Peephole optimization is an optimization technique performed on a small set of compiler-generated instructions, known as a peephole or window, [1] [2] that involves replacing the instructions with a logically equivalent set that has better performance.

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