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  2. Gekko (optimization software) - Wikipedia

    en.wikipedia.org/wiki/Gekko_(optimization_software)

    GEKKO is an extension of the APMonitor Optimization Suite but has integrated the modeling and solution visualization directly within Python. A mathematical model is expressed in terms of variables and equations such as the Hock & Schittkowski Benchmark Problem #71 [ 2] used to test the performance of nonlinear programming solvers.

  3. Python (programming language) - Wikipedia

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

    Python is used extensively in the information security industry, including in exploit development. [227] [228] Most of the Sugar software for the One Laptop per Child XO, developed at Sugar Labs as of 2008, is written in Python. [229] The Raspberry Pi single-board computer project has adopted Python as its main user-programming language.

  4. Divide-and-conquer algorithm - Wikipedia

    en.wikipedia.org/wiki/Divide-and-conquer_algorithm

    A divide-and-conquer algorithm recursively breaks down a problem into two or more sub-problems of the same or related type, until these become simple enough to be solved directly. The solutions to the sub-problems are then combined to give a solution to the original problem. The divide-and-conquer technique is the basis of efficient algorithms ...

  5. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    HiGHS is designed to solve large-scale models and exploits problem sparsity. Its performance relative to commercial and other open-source software is reviewed periodically using industry-standard benchmarks. [2] The term HiGHS may also refer to both the underlying project and the small team leading the software development.

  6. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    The dynamic programming approach to solve this problem involves breaking it apart into a sequence of smaller decisions. To do so, we define a sequence of value functions V t ( k ) {\displaystyle V_{t}(k)} , for t = 0 , 1 , 2 , … , T , T + 1 {\displaystyle t=0,1,2,\ldots ,T,T+1} which represent the value of having any amount of capital k at ...

  7. Optimization problem - Wikipedia

    en.wikipedia.org/wiki/Optimization_problem

    Optimization problem. In mathematics, engineering, computer science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: An optimization problem with discrete ...

  8. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers ...

  9. Monkey and banana problem - Wikipedia

    en.wikipedia.org/wiki/Monkey_and_banana_problem

    Formulation of the problem. A monkey is in a room. Suspended from the ceiling is a bunch of bananas, beyond the monkey's reach. However, in the room there are also a chair and a stick. The ceiling is just the right height so that a monkey standing on a chair could knock the bananas down with the stick. The monkey knows how to move around, carry ...