enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    HiGHS is open-source software to solve linear programming (LP), mixed-integer programming (MIP), and convex quadratic programming (QP) models. [1] Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies.

  3. GNU Linear Programming Kit - Wikipedia

    en.wikipedia.org/wiki/GNU_Linear_Programming_Kit

    The GNU Linear Programming Kit (GLPK) is a software package intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems. It is a set of routines written in ANSI C and organized in the form of a callable library .

  4. The Power of 10: Rules for Developing Safety-Critical Code

    en.wikipedia.org/wiki/The_Power_of_10:_Rules_for...

    The Power of 10 Rules were created in 2006 by Gerard J. Holzmann of the NASA/JPL Laboratory for Reliable Software. [1] The rules are intended to eliminate certain C coding practices which make code difficult to review or statically analyze.

  5. Successive linear programming - Wikipedia

    en.wikipedia.org/wiki/Successive_linear_programming

    Successive Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization problems. [1] It is related to, but distinct from, quasi-Newton methods .

  6. Parametric programming - Wikipedia

    en.wikipedia.org/wiki/Parametric_programming

    Parametric programming is a type of mathematical optimization, where the optimization problem is solved as a function of one or multiple parameters. [1] Developed in parallel to sensitivity analysis , its earliest mention can be found in a thesis from 1952. [ 2 ]

  7. Coding best practices - Wikipedia

    en.wikipedia.org/wiki/Coding_best_practices

    A software development methodology is a framework that is used to structure, plan, and control the life cycle of a software product. Common methodologies include waterfall, prototyping, iterative and incremental development, spiral development, agile software development, rapid application development, and extreme programming.

  8. Local search (optimization) - Wikipedia

    en.wikipedia.org/wiki/Local_search_(optimization)

    In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution that maximizes a criterion among a number of candidate solutions.

  9. Linear genetic programming - Wikipedia

    en.wikipedia.org/wiki/Linear_genetic_programming

    Linear genetic programming (LGP) [1] is a particular method of genetic programming wherein computer programs in a population are represented as a sequence of register-based instructions from an imperative programming language or machine language. The adjective "linear" stems from the fact that each LGP program is a sequence of instructions and ...